test(search): move schema fingerprint/version tests from PR2

Both files exercise documents.search._schema exclusively (build_schema,
schema_fingerprint, needs_rebuild, open_or_rebuild_index) with no
dependency on whoosh-compat query routing, so they belong with the
schema/field-registry work rather than PR2's query rewrite.

docs/api.md

@@ -302,8 +302,7 @@ The following methods are supported:
 - `delete`
   - No `parameters` required
 - `reprocess`
-  - Optional `parameters`: `{ "remote_ocr": true }` to send the documents to the
-    remote OCR engine, see [Remote OCR](usage.md#remote-ocr). Defaults to false.
+  - No `parameters` required
 - `set_permissions`
   - Requires `parameters`:
     - `"set_permissions": PERMISSIONS_OBJ` (see format [above](#permissions)) and / or

docs/configuration.md

@@ -2066,18 +2066,6 @@ password. All of these options come from their similarly-named [Django settings]
 
     Defaults to None.
 
-#### [`PAPERLESS_REMOTE_OCR_MODE=<str>`](#PAPERLESS_REMOTE_OCR_MODE) {#PAPERLESS_REMOTE_OCR_MODE}
-
-: Which documents are sent to the remote OCR engine.
-
-    - `always`: every document of a supported file type is sent to the remote
-      engine, bypassing the local OCR engine.
-    - `workflow_only`: documents are processed locally unless a workflow
-      explicitly enables remote OCR for them, letting you use the remote engine
-      selectively.
-
-    Defaults to "always".
-
 ## AI {#ai}
 
 #### [`PAPERLESS_AI_ENABLED=<bool>`](#PAPERLESS_AI_ENABLED) {#PAPERLESS_AI_ENABLED}

docs/development.md

@@ -456,20 +456,6 @@ def score(
     return 10
 ```
 
-**Remote services**
-
-If your parser sends document content to a remote service, declare it:
-
-```python
-class MyCustomParser:
-    uses_remote_service = True
-```
-
-Paperless-ngx excludes such parsers when the document being consumed has not
-been marked for remote processing, so users can keep remote OCR off by default
-and enable it selectively with a workflow. Parsers that do not declare the
-attribute are treated as fully local and are always considered.
-
 **Archive and rendition flags**
 
 ```python

docs/usage.md

@@ -654,48 +654,6 @@ happened while it was still encrypted, that original version will likewise be mi
 **Current limitation**: Passwords are stored as a simple list without descriptions. To handle
 multiple PDF types with different passwords, create separate workflows for each use case.
 
-##### Remote OCR {#workflow-action-remote-ocr}
-
-"Remote OCR" actions send the document to the configured remote OCR engine instead of processing it
-locally. To use remote OCR selectively, set the [remote OCR mode](configuration.md#PAPERLESS_REMOTE_OCR_MODE)
-to `workflow_only` then add this action to a workflow that matches only the documents you
-want sent to the remote engine. See [Remote OCR](#remote-ocr) for the engine setup. The action only works with
-a **Consumption Started** trigger.
-
-The action takes no options, its presence is what enables remote OCR for a matching document.
-
-If the remote engine is not configured, or does not support the document's file type, the document is
-processed locally instead and a warning is written to the log.
-
-##### Apply AI Suggestions {#workflow-action-apply-ai-suggestions}
-
-"Apply AI Suggestions" actions ask the configured AI service for title and metadata suggestions,
-the same as the AI suggestions shown on the document detail page, except applied automatically and in bulk.
-It requires [AI features](configuration.md#ai) to be enabled. You can specify:
-
-- Which suggestions to apply: title, tags, correspondent, document type, storage path and / or created
-  date. Suggestions for fields you did not select are discarded.
-- Whether to create missing items. By default only tags, correspondents and document types that
-  already exist are assigned and any other suggestion is dropped. With this enabled, suggested items
-  that do not exist are created. Storage paths are never created.
-- Whether to overwrite existing values. By default a field is only filled in if it is currently empty.
-  Note that documents almost always already have a title and created date, so if you select those you
-  will usually want to enable this too. Tags are an exception: suggested tags are always added and
-  never replace the document's existing tags.
-
-The action works with every trigger **except Consumption Started**, because suggestions are made from
-the document's text, which does not exist until after the document has been processed.
-
-Because the query to the AI service is slow, the action is queued and runs in the background rather
-than as part of the workflow run itself. The document is updated once the suggestions come back.
-
-!!! warning
-
-    Every matching document results in a query to the AI service, which may incur costs and have privacy
-    implications. Queries can be slow, so a workflow matching a large number of documents can occupy the
-    task queue, and delay consumption of new documents, etc. Consider narrowing the trigger filters,
-    running in small batches and / or increasing workers.
-
 #### Workflow placeholders
 
 Titles and webhook payloads can be generated by workflows using [Jinja templates](https://jinja.palletsprojects.com/en/3.1.x/templates/).
@@ -1132,19 +1090,11 @@ Paperless-ngx supports performing OCR on documents using remote services. At the
 [Microsoft's Azure "Document Intelligence" service](https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence).
 This is of course a paid service (with a free tier) which requires an Azure account and subscription. Azure AI is not affiliated with
 Paperless-ngx in any way. When enabled, Paperless-ngx will automatically send appropriate documents to Azure for OCR processing, bypassing
-the local OCR engine. See the [configuration](configuration.md#PAPERLESS_REMOTE_OCR_ENGINE) options for more details. These
-settings can be supplied as environment variables or via **Application Configuration**.
+the local OCR engine. See the [configuration](configuration.md#PAPERLESS_REMOTE_OCR_ENGINE) options for more details.
 
 Additionally, when using a commercial service with this feature, consider both potential costs as well as any associated file size
 or page limitations (e.g. with a free tier).
 
-By default, every document of a supported file type is sent to the remote engine. To use it more selectively, set the
-[remote OCR mode](configuration.md#PAPERLESS_REMOTE_OCR_MODE) to `workflow_only`. Documents are then processed locally
-unless a [remote OCR workflow action](#workflow-action-remote-ocr) enables it for them, so you can limit the remote
-engine to particular documents.
-
-Setting the mode to `workflow_only` also allows the **Reprocess** actions to selectively use remote OCR for individual documents.
-
 ## Architecture
 
 Paperless-ngx consists of the following components:

pyproject.toml

@@ -77,6 +77,7 @@ dependencies = [
   "torch~=2.13.0",
   "watchfiles>=1.2",
   "whitenoise~=6.11",
+  "whoosh-compat[tantivy]==0.1",
   "zxing-cpp~=3.1.0",
 ]
 [project.optional-dependencies]

src-ui/src/app/components/admin/config/config.component.html

@@ -14,48 +14,43 @@
                 <a ngbNavLink>{{category}}</a>
                 <ng-template ngbNavContent>
                     <div class="p-3">
-                        @for (section of getCategorySections(category); track section) {
-                            @if (section) {
-                                <h5 class="mt-4 mb-3">{{section}}</h5>
-                            }
-                            <div class="row row-cols-1 row-cols-md-2 row-cols-lg-3 g-2">
-                                @for (option of getCategoryOptions(category, section); track option.key) {
-                                    <div class="col">
-                                        <div class="card bg-light">
-                                            <div class="card-body">
-                                                <div class="card-title d-flex align-items-center">
-                                                    <h6 class="mb-0">
-                                                      {{option.title}}
-                                                    </h6>
-                                                    <a class="btn btn-sm btn-link" title="Read the documentation about this setting" i18n-title [href]="getDocsUrl(option.config_key)" target="_blank" referrerpolicy="no-referrer">
-                                                        <i-bs name="info-circle"></i-bs>
-                                                    </a>
-                                                    @if (isSet(option.key)) {
-                                                      <button type="button" class="btn btn-sm btn-link text-danger ms-auto pe-0" title="Reset" i18n-title (click)="resetOption(option.key)">
-                                                          <i-bs class="me-1" name="x"></i-bs><ng-container i18n>Reset</ng-container>
-                                                      </button>
-                                                    }
-                                                </div>
-                                                <div class="mb-n3">
-                                                    @switch (option.type) {
-                                                        @case (ConfigOptionType.Select) { <pngx-input-select [formControlName]="option.key" [error]="errors[option.key]" [items]="option.choices" [allowNull]="true"></pngx-input-select> }
-                                                        @case (ConfigOptionType.Number) { <pngx-input-number [formControlName]="option.key" [error]="errors[option.key]" [showAdd]="false"></pngx-input-number> }
-                                                        @case (ConfigOptionType.Boolean) { <pngx-input-switch [formControlName]="option.key" [error]="errors[option.key]" [showUnsetNote]="true" [horizontal]="true" title="Enable" i18n-title></pngx-input-switch> }
-                                                        @case (ConfigOptionType.String) { <pngx-input-text [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-text> }
-                                                        @case (ConfigOptionType.JSON) { <pngx-input-text [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-text> }
-                                                        @case (ConfigOptionType.File) { <pngx-input-file [formControlName]="option.key" (upload)="uploadFile($event, option.key)" [error]="errors[option.key]"></pngx-input-file> }
-                                                        @case (ConfigOptionType.Password) { <pngx-input-password [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-password> }
-                                                    }
-                                                </div>
-                                                @if (option.note) {
-                                                    <div class="form-text fst-italic">{{option.note}}</div>
+                        <div class="row row-cols-1 row-cols-md-2 row-cols-lg-3 g-2">
+                            @for (option of getCategoryOptions(category); track option.key) {
+                                <div class="col">
+                                    <div class="card bg-light">
+                                        <div class="card-body">
+                                            <div class="card-title d-flex align-items-center">
+                                                <h6 class="mb-0">
+                                                  {{option.title}}
+                                                </h6>
+                                                <a class="btn btn-sm btn-link" title="Read the documentation about this setting" i18n-title [href]="getDocsUrl(option.config_key)" target="_blank" referrerpolicy="no-referrer">
+                                                    <i-bs name="info-circle"></i-bs>
+                                                </a>
+                                                @if (isSet(option.key)) {
+                                                  <button type="button" class="btn btn-sm btn-link text-danger ms-auto pe-0" title="Reset" i18n-title (click)="resetOption(option.key)">
+                                                      <i-bs class="me-1" name="x"></i-bs><ng-container i18n>Reset</ng-container>
+                                                  </button>
                                                 }
                                             </div>
+                                            <div class="mb-n3">
+                                                @switch (option.type) {
+                                                    @case (ConfigOptionType.Select) { <pngx-input-select [formControlName]="option.key" [error]="errors[option.key]" [items]="option.choices" [allowNull]="true"></pngx-input-select> }
+                                                    @case (ConfigOptionType.Number) { <pngx-input-number [formControlName]="option.key" [error]="errors[option.key]" [showAdd]="false"></pngx-input-number> }
+                                                    @case (ConfigOptionType.Boolean) { <pngx-input-switch [formControlName]="option.key" [error]="errors[option.key]" [showUnsetNote]="true" [horizontal]="true" title="Enable" i18n-title></pngx-input-switch> }
+                                                    @case (ConfigOptionType.String) { <pngx-input-text [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-text> }
+                                                    @case (ConfigOptionType.JSON) { <pngx-input-text [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-text> }
+                                                    @case (ConfigOptionType.File) { <pngx-input-file [formControlName]="option.key" (upload)="uploadFile($event, option.key)" [error]="errors[option.key]"></pngx-input-file> }
+                                                    @case (ConfigOptionType.Password) { <pngx-input-password [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-password> }
+                                                }
+                                            </div>
+                                            @if (option.note) {
+                                                <div class="form-text fst-italic">{{option.note}}</div>
+                                            }
                                         </div>
                                     </div>
-                                }
-                            </div>
-                        }
+                                </div>
+                            }
+                        </div>
                     </div>
                 </ng-template>
             </li>

src-ui/src/app/components/admin/config/config.component.spec.ts

@@ -8,11 +8,7 @@ import { NgbModule } from '@ng-bootstrap/ng-bootstrap'
 import { NgSelectModule } from '@ng-select/ng-select'
 import { NgxBootstrapIconsModule, allIcons } from 'ngx-bootstrap-icons'
 import { of, throwError } from 'rxjs'
-import {
-  ConfigCategory,
-  ConfigSection,
-  OutputTypeConfig,
-} from 'src/app/data/paperless-config'
+import { OutputTypeConfig } from 'src/app/data/paperless-config'
 import { ConfigService } from 'src/app/services/config.service'
 import { SettingsService } from 'src/app/services/settings.service'
 import { ToastService } from 'src/app/services/toast.service'
@@ -162,24 +158,4 @@ describe('ConfigComponent', () => {
     component.resetOption('barcodes_enabled')
     expect(component.configForm.get('barcodes_enabled').value).toBeNull()
   })
-
-  it('should group options into sections within a category, or not', () => {
-    const sections = component.getCategorySections(ConfigCategory.OCR)
-    expect(sections).toEqual([null, ConfigSection.RemoteOCR])
-    expect(
-      component
-        .getCategoryOptions(ConfigCategory.OCR)
-        .map((option) => option.key)
-    ).toContain('output_type')
-    expect(
-      component
-        .getCategoryOptions(ConfigCategory.OCR, ConfigSection.RemoteOCR)
-        .map((option) => option.key)
-    ).toEqual([
-      'remote_ocr_engine',
-      'remote_ocr_api_key',
-      'remote_ocr_endpoint',
-      'remote_ocr_mode',
-    ])
-  })
 })

src-ui/src/app/components/admin/config/config.component.ts

@@ -74,20 +74,8 @@ export class ConfigComponent
     return Object.values(ConfigCategory)
   }
 
-  getCategorySections(category: string): string[] {
-    return [
-      ...new Set(
-        PaperlessConfigOptions.filter((o) => o.category === category).map(
-          (o) => o.section ?? null // null means no section
-        )
-      ),
-    ]
-  }
-
-  getCategoryOptions(category: string, section: string = null): ConfigOption[] {
-    return PaperlessConfigOptions.filter(
-      (o) => o.category === category && (o.section ?? null) === section
-    )
+  getCategoryOptions(category: string): ConfigOption[] {
+    return PaperlessConfigOptions.filter((o) => o.category === category)
   }
 
   initialConfig: PaperlessConfig

src-ui/src/app/components/app-frame/app-frame.component.html

@@ -2,7 +2,7 @@
   <button class="navbar-toggler d-md-none collapsed border-0" type="button" data-toggle="collapse"
     data-target="#sidebarMenu" aria-controls="sidebarMenu" aria-expanded="false" aria-label="Toggle navigation"
     (click)="closeMobileSearch(); toggleMenuCollapsed()">
-    <i-bs width="1.5em" height="1.5em" name="list"></i-bs>
+    <span class="navbar-toggler-icon"></span>
   </button>
   <a class="navbar-brand d-flex align-items-center me-0 ps-md-3 py-0 order-sm-0"
     [ngClass]="{ 'slim': slimSidebarEnabled, '' : !slimSidebarEnabled }"
@@ -10,12 +10,16 @@
     tourAnchor="tour.intro">
     @if (!hasCustomBranding) {
       <pngx-logo extra_classes="navbar-official-logo px-1" height="2.4rem"></pngx-logo>
-      <pngx-brand-mark class="brand-mark brand-mark-slim d-none"></pngx-brand-mark>
+      <svg class="brand-mark brand-mark-slim d-none" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1000 1000" width="1.5em" height="1.5em" fill="currentColor">
+        <path d="M341,949.1c-6.9-20.3-20.7-61.2-21.9-61-199.6-88.9-182.5-229.8-134.3-347.5,30,137.2,268.8,148.9,146.2,336-.9,2.2,10,27.8,19.5,51.3,22.7-51.9,58.6-115.5,55.8-120.8C178,398.7,724.9,299,807.1,18.5c83,251.5,53.1,659.8-377.4,814.9-2,1.4-63.5,148.6-66.9,150.2-.2-2.1-33.2,2.9-30.1-8.7,1.6-7,4.8-16.2,8.2-25.6h0v-.2h.1ZM323.1,846.2c48.3-71.9-12.7-120.8-56.9-152.2,81.2,107.4,66.4,120.8,56.9,152.2h0Z"/>
+      </svg>
     } @else {
       @if (customAppLogo) {
         <img class="brand-logo" [src]="customAppLogo" alt="" />
       } @else {
-        <pngx-brand-mark class="brand-mark"></pngx-brand-mark>
+        <svg class="brand-mark" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1000 1000" width="1.5em" height="1.5em" fill="currentColor">
+          <path d="M341,949.1c-6.9-20.3-20.7-61.2-21.9-61-199.6-88.9-182.5-229.8-134.3-347.5,30,137.2,268.8,148.9,146.2,336-.9,2.2,10,27.8,19.5,51.3,22.7-51.9,58.6-115.5,55.8-120.8C178,398.7,724.9,299,807.1,18.5c83,251.5,53.1,659.8-377.4,814.9-2,1.4-63.5,148.6-66.9,150.2-.2-2.1-33.2,2.9-30.1-8.7,1.6-7,4.8-16.2,8.2-25.6h0v-.2h.1ZM323.1,846.2c48.3-71.9-12.7-120.8-56.9-152.2,81.2,107.4,66.4,120.8,56.9,152.2h0Z"/>
+        </svg>
       }
       <div class="brand-copy ms-2 text-truncate" [class.d-md-none]="slimSidebarEnabled">
         <span class="brand-title text-truncate">{{ appTitle }}</span>
@@ -25,9 +29,9 @@
       </div>
     }
   </a>
-  <div class="search-container flex-grow-1 py-2 pb-3 pb-sm-2 me-sm-auto order-3 order-sm-1"
+  <div class="search-container flex-grow-1 py-2 pb-3 pb-sm-2 px-3 ps-md-3 me-sm-auto order-3 order-sm-1"
     [class.mobile-hidden]="mobileSearchHidden()">
-    <div class="col-12 header-search mx-auto">
+    <div class="col-12 header-search">
       <pngx-global-search></pngx-global-search>
     </div>
   </div>
@@ -86,7 +90,7 @@
         <ul class="nav flex-column">
           <li class="nav-item app-link">
             <a class="nav-link" routerLink="dashboard" routerLinkActive="active" (click)="closeMenu()"
-              ngbPopover="Dashboard" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
+              ngbPopover="Dashboard" i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end"
               container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
               <i-bs class="me-2" name="house"></i-bs><span><ng-container i18n>Dashboard</ng-container></span>
             </a>
@@ -95,7 +99,7 @@
             <a class="nav-link" routerLink="documents" routerLinkActive="active"
               [routerLinkActiveOptions]="{ paths: 'exact', queryParams: 'ignored', matrixParams: 'ignored', fragment: 'ignored' }"
               (click)="closeMenu()"
-              ngbPopover="Documents" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
+              ngbPopover="Documents" i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end"
               container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
               <i-bs class="me-2" name="files"></i-bs><span><ng-container i18n>Documents</ng-container></span>
             </a>
@@ -114,7 +118,7 @@
                   (cdkDragEnded)="onDragEnd($event)">
                   <a class="nav-link" routerLink="view/{{view.id}}"
                     routerLinkActive="active" (click)="closeMenu()" [ngbPopover]="view.name"
-                    [disablePopover]="!slimSidebarPopoversEnabled" placement="end" container="body" triggers="mouseenter:mouseleave"
+                    [disablePopover]="!slimSidebarEnabled" placement="end" container="body" triggers="mouseenter:mouseleave"
                     popoverClass="popover-slim">
                     <i-bs class="me-2" [name]="view.icon || 'funnel'"></i-bs><span><div class="d-inline-flex view-name"><span class="overflow-hidden" [class.text-wrap]="!slimSidebarEnabled">{{view.name}}</span></div>
                         @if (showSidebarCounts && !slimSidebarEnabled) {
@@ -152,7 +156,7 @@
               <li class="nav-item w-100 app-link">
                 <a class="nav-link app-link" [class.text-truncate]="!slimSidebarEnabled" routerLink="documents/{{d.id}}"
                   routerLinkActive="active" (click)="closeMenu()" [ngbPopover]="d.title | documentTitle"
-                  [disablePopover]="!slimSidebarPopoversEnabled" placement="end" container="body" triggers="mouseenter:mouseleave"
+                  [disablePopover]="!slimSidebarEnabled" placement="end" container="body" triggers="mouseenter:mouseleave"
                   popoverClass="popover-slim">
                   <i-bs class="me-2" name="file-text"></i-bs><span>{{d.title | documentTitle}}</span>
                   <span class="close flex-column justify-content-center"
@@ -166,7 +170,7 @@
               <li class="nav-item w-100 app-link">
                 <button type="button" class="nav-link nav-link-action app-link w-100 text-start"
                   [class.text-truncate]="!slimSidebarEnabled" (click)="closeAll()"
-                  ngbPopover="Close all" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
+                  ngbPopover="Close all" i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end"
                   container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                   <i-bs class="me-2" name="x"></i-bs><span><ng-container i18n>Close all</ng-container></span>
                 </button>
@@ -185,7 +189,7 @@
                 <div class="d-flex align-items-center attributes-row">
                   <a class="nav-link flex-fill" routerLink="attributes" routerLinkActive="active"
                     [routerLinkActiveOptions]="{ exact: !(slimSidebarEnabled || attributesSectionsCollapsed) }" (click)="closeMenu()"
-                    ngbPopover="Attributes" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
+                    ngbPopover="Attributes" i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end"
                     container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                     <i-bs name="stack"></i-bs><span class="ms-2"><ng-container i18n>Attributes</ng-container></span>
                   </a>
@@ -237,7 +241,7 @@
             }
             <li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.SavedView }">
               <a class="nav-link" routerLink="savedviews" routerLinkActive="active" (click)="closeMenu()"
-                ngbPopover="Saved Views" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
+                ngbPopover="Saved Views" i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end"
                 container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                 <i-bs class="me-2" name="window-stack"></i-bs><span><ng-container i18n>Saved Views</ng-container></span>
               </a>
@@ -246,7 +250,7 @@
               *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.Workflow }"
               tourAnchor="tour.workflows">
               <a class="nav-link" routerLink="workflows" routerLinkActive="active" (click)="closeMenu()"
-                ngbPopover="Workflows" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
+                ngbPopover="Workflows" i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end"
                 container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                 <i-bs class="me-2" name="boxes"></i-bs><span><ng-container i18n>Workflows</ng-container></span>
               </a>
@@ -254,14 +258,14 @@
             <li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.MailAccount }"
               tourAnchor="tour.mail">
               <a class="nav-link" routerLink="mail" routerLinkActive="active" (click)="closeMenu()" ngbPopover="Mail"
-                i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end" container="body"
+                i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end" container="body"
                 triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                 <i-bs class="me-2" name="envelope"></i-bs><span><ng-container i18n>Mail</ng-container></span>
               </a>
             </li>
             <li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.Delete, type: PermissionType.Document }">
               <a class="nav-link" routerLink="trash" routerLinkActive="active" (click)="closeMenu()" ngbPopover="Trash"
-                i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end" container="body"
+                i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end" container="body"
                 triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                 <i-bs class="me-2" name="trash"></i-bs><span><ng-container i18n>Trash</ng-container></span>
               </a>
@@ -277,21 +281,21 @@
             <li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.Change, type: PermissionType.UISettings }"
               tourAnchor="tour.settings">
               <a class="nav-link" routerLink="settings" routerLinkActive="active" (click)="closeMenu()"
-                ngbPopover="Settings" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
+                ngbPopover="Settings" i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end"
                 container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                 <i-bs class="me-2" name="gear"></i-bs><span><ng-container i18n>Settings</ng-container></span>
               </a>
             </li>
             <li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.Change, type: PermissionType.AppConfig }">
               <a class="nav-link" routerLink="config" routerLinkActive="active" (click)="closeMenu()"
-                ngbPopover="Configuration" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
+                ngbPopover="Configuration" i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end"
                 container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                 <i-bs class="me-2" name="sliders2-vertical"></i-bs><span><ng-container i18n>Configuration</ng-container></span>
               </a>
             </li>
             <li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.User }">
               <a class="nav-link" routerLink="usersgroups" routerLinkActive="active" (click)="closeMenu()"
-                ngbPopover="Users & Groups" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
+                ngbPopover="Users & Groups" i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end"
                 container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                 <i-bs class="me-2" name="people"></i-bs><span><ng-container i18n>Users & Groups</ng-container></span>
               </a>
@@ -300,7 +304,7 @@
               *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.PaperlessTask }"
               tourAnchor="tour.file-tasks">
               <a class="nav-link" routerLink="tasks" routerLinkActive="active" (click)="closeMenu()"
-                ngbPopover="Tasks" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
+                ngbPopover="Tasks" i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end"
                 container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                 <i-bs class="me-2" name="list-task"></i-bs><span><ng-container i18n>Tasks</ng-container>@if (tasksService.needsAttentionTasks.length > 0) {
                   <span><span class="badge bg-danger ms-2 d-inline">{{tasksService.needsAttentionTasks.length}}</span></span>
@@ -313,26 +317,26 @@
             @if (permissionsService.isAdmin()) {
               <li class="nav-item app-link">
                 <a class="nav-link" routerLink="logs" routerLinkActive="active" (click)="closeMenu()" ngbPopover="Logs"
-                  i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end" container="body"
+                  i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end" container="body"
                   triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                   <i-bs class="me-2" name="text-left"></i-bs><span><ng-container i18n>Logs</ng-container></span>
                 </a>
               </li>
             }
             <li class="nav-item mt-2" tourAnchor="tour.outro">
-              <a class="text-muted small d-flex align-items-center flex-wrap text-decoration-none nav-anchor"
+              <a class="px-3 py-2 text-muted small d-flex align-items-center flex-wrap text-decoration-none"
                 target="_blank" rel="noopener noreferrer" href="https://docs.paperless-ngx.com" ngbPopover="Documentation"
-                i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end" container="body"
+                i18n-ngbPopover [disablePopover]="!slimSidebarEnabled" placement="end" container="body"
                 triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                 <i-bs class="d-flex me-2" name="question-circle"></i-bs><span><ng-container i18n>Documentation</ng-container></span>
               </a>
             </li>
             <li class="nav-item" [class.visually-hidden]="slimSidebarEnabled">
-              <div class="text-muted small d-flex align-items-center flex-wrap nav-label">
+              <div class="px-3 py-0 text-muted small d-flex align-items-center flex-wrap">
                 <div class="me-3">
                   <a class="text-muted text-decoration-none" target="_blank" rel="noopener noreferrer"
                     href="https://github.com/paperless-ngx/paperless-ngx" ngbPopover="GitHub" i18n-ngbPopover
-                    [disablePopover]="!slimSidebarPopoversEnabled" placement="end" container="body"
+                    [disablePopover]="!slimSidebarEnabled" placement="end" container="body"
                     triggers="mouseenter:mouseleave" popoverClass="popover-slim">
                     {{ versionString }}
                   </a>

src-ui/src/app/components/app-frame/app-frame.component.scss

@@ -67,23 +67,6 @@
   main.mobile-search-hidden {
     padding-top: 56px;
   }
-
-  .navbar-toggler {
-    padding-left: calc(12px - (1.5em * 2.5 / 16));
-  }
-}
-
-.search-container {
-  padding-left: 1rem;
-  padding-right: 1rem;
-}
-
-// Below sm the search gets its own full-width row, so line it up with main's content edge
-@media (max-width: 575.98px) {
-  .search-container {
-    padding-left: 12px;
-    padding-right: 12px;
-  }
 }
 
 main {
@@ -114,7 +97,7 @@ main {
 
     li.nav-item span.badge {
       display: inline-block;
-      margin-right: -4px;
+      margin-right: 2px;
     }
   }
 
@@ -158,11 +141,18 @@ main {
     }
   }
 
+  .sidebar.slim {
+    li.nav-item span.badge {
+      display: inline-block;
+      margin-right: 2px;
+    }
+  }
+
   .sidebar-slim-toggler {
     display: block;
     position: fixed;
     left: calc(var(--pngx-sidebar-width) - 12px);
-    bottom: 16px;
+    top: 72px;
     z-index: 996;
     --bs-btn-padding-x: 0.35rem;
     --bs-btn-padding-y: 0.125rem;
@@ -237,10 +227,6 @@ main {
   }
 }
 
-.sidebar .nav-anchor, .sidebar .nav-label {
-  padding: .25rem .7rem;
-}
-
 .attributes-row {
   border-radius: .55rem;
   margin: .1rem 0;
@@ -417,7 +403,7 @@ main {
 
 :host ::ng-deep .navbar-official-logo {
   .leaf {
-    fill: color-mix(in srgb, var(--pngx-primary-text-contrast) 85%, var(--bs-primary)) !important;
+    fill: color-mix(in srgb, var(--pngx-primary-text-contrast) 70%, var(--bs-primary)) !important;
   }
 
   .text {
@@ -458,7 +444,7 @@ main {
 
 .header-search {
   width: 100%;
-  max-width: 55rem;
+  max-width: 44rem;
 }
 
 @media screen and (max-width: 575.98px) {
@@ -472,7 +458,6 @@ main {
 
   .navbar-toggler {
     grid-area: toggler;
-    color: var(--pngx-primary-text-contrast);
     text-align: left;
   }
 

src-ui/src/app/components/app-frame/app-frame.component.ts

@@ -45,7 +45,6 @@ import { TasksService } from 'src/app/services/tasks.service'
 import { ToastService } from 'src/app/services/toast.service'
 import { environment } from 'src/environments/environment'
 import { ChatComponent } from '../chat/chat/chat.component'
-import { BrandMarkComponent } from '../common/logo/brand-mark/brand-mark.component'
 import { LogoComponent } from '../common/logo/logo.component'
 import { ProfileEditDialogComponent } from '../common/profile-edit-dialog/profile-edit-dialog.component'
 import { DocumentDetailComponent } from '../document-detail/document-detail.component'
@@ -62,7 +61,6 @@ const SCROLL_THRESHOLD = 16
   imports: [
     GlobalSearchComponent,
     LogoComponent,
-    BrandMarkComponent,
     DocumentTitlePipe,
     IfPermissionsDirective,
     ToastsDropdownComponent,
@@ -280,10 +278,6 @@ export class AppFrameComponent
       })
   }
 
-  get slimSidebarPopoversEnabled(): boolean {
-    return this.slimSidebarEnabled && !this.isMobileViewport()
-  }
-
   get attributesSectionsCollapsed(): boolean {
     this.settingsService.trackChanges()
     return this.settingsService

src-ui/src/app/components/common/confirm-dialog/reprocess-confirm-dialog/reprocess-confirm-dialog.component.html

@@ -1,28 +0,0 @@
-<div class="modal-header">
-  <h4 class="modal-title" id="modal-basic-title">{{title}}</h4>
-  <button type="button" class="btn-close" aria-label="Close" (click)="cancel()">
-  </button>
-</div>
-<div class="modal-body">
-  @if (messageBold) {
-    <p class="text-break"><b>{{messageBold}}</b></p>
-  }
-  @if (message) {
-    <p class="mb-0 text-break" [innerHTML]="message"></p>
-  }
-  @if (showRemoteOcr) {
-    <div class="form-check mt-3">
-      <input class="form-check-input" type="checkbox" id="reprocessRemoteOcr" [(ngModel)]="remoteOcr" />
-      <label class="form-check-label" for="reprocessRemoteOcr" i18n>Use remote OCR</label>
-      <div class="form-text" i18n>Sends the document to the configured remote OCR service, which may incur costs.</div>
-    </div>
-  }
-</div>
-<div class="modal-footer">
-  <button type="button" class="btn" [class]="cancelBtnClass" (click)="cancel()" [disabled]="!buttonsEnabled">
-    <span class="d-inline-block" style="padding-bottom: 1px;">{{cancelBtnCaption}}</span>
-  </button>
-  <button type="button" class="btn" [class]="btnClass" (click)="confirm()" [disabled]="!confirmButtonEnabled || !buttonsEnabled">
-    {{btnCaption}}
-  </button>
-</div>

src-ui/src/app/components/common/confirm-dialog/reprocess-confirm-dialog/reprocess-confirm-dialog.component.spec.ts

@@ -1,72 +0,0 @@
-import { provideHttpClient, withInterceptorsFromDi } from '@angular/common/http'
-import { provideHttpClientTesting } from '@angular/common/http/testing'
-import { ComponentFixture, TestBed } from '@angular/core/testing'
-import { NgbActiveModal } from '@ng-bootstrap/ng-bootstrap'
-import { RemoteOCRModeConfig } from 'src/app/data/paperless-config'
-import { SETTINGS_KEYS } from 'src/app/data/ui-settings'
-import { SettingsService } from 'src/app/services/settings.service'
-import { ReprocessConfirmDialogComponent } from './reprocess-confirm-dialog.component'
-
-describe('ReprocessConfirmDialogComponent', () => {
-  let component: ReprocessConfirmDialogComponent
-  let fixture: ComponentFixture<ReprocessConfirmDialogComponent>
-  let settingsService: SettingsService
-
-  const createComponent = (configured: boolean, mode: string) => {
-    settingsService.set(SETTINGS_KEYS.REMOTE_OCR_CONFIGURED, configured)
-    settingsService.set(SETTINGS_KEYS.REMOTE_OCR_MODE, mode)
-
-    fixture = TestBed.createComponent(ReprocessConfirmDialogComponent)
-    component = fixture.componentInstance
-    fixture.detectChanges()
-  }
-
-  beforeEach(async () => {
-    TestBed.configureTestingModule({
-      providers: [
-        NgbActiveModal,
-        provideHttpClient(withInterceptorsFromDi()),
-        provideHttpClientTesting(),
-      ],
-      imports: [ReprocessConfirmDialogComponent],
-    }).compileComponents()
-
-    settingsService = TestBed.inject(SettingsService)
-  })
-
-  it('should not request remote OCR by default', () => {
-    createComponent(true, RemoteOCRModeConfig.WORKFLOW_ONLY)
-
-    expect(component.remoteOcr).toBeFalsy()
-  })
-
-  it('should not offer remote OCR when no engine is configured', () => {
-    createComponent(false, RemoteOCRModeConfig.WORKFLOW_ONLY)
-
-    expect(component.showRemoteOcr).toBeFalsy()
-    expect(
-      fixture.nativeElement.querySelector('#reprocessRemoteOcr')
-    ).toBeNull()
-  })
-
-  it('should not offer remote OCR when it already handles every document', () => {
-    createComponent(true, RemoteOCRModeConfig.ALWAYS)
-
-    expect(component.showRemoteOcr).toBeFalsy()
-    expect(
-      fixture.nativeElement.querySelector('#reprocessRemoteOcr')
-    ).toBeNull()
-  })
-
-  it('should offer remote OCR when configured and selective', () => {
-    createComponent(true, RemoteOCRModeConfig.WORKFLOW_ONLY)
-
-    expect(component.showRemoteOcr).toBeTruthy()
-    const checkbox = fixture.nativeElement.querySelector('#reprocessRemoteOcr')
-    expect(checkbox).not.toBeNull()
-
-    checkbox.click()
-    fixture.detectChanges()
-    expect(component.remoteOcr).toBeTruthy()
-  })
-})

src-ui/src/app/components/common/confirm-dialog/reprocess-confirm-dialog/reprocess-confirm-dialog.component.ts

@@ -1,20 +0,0 @@
-import { Component, inject } from '@angular/core'
-import { FormsModule } from '@angular/forms'
-import { SettingsService } from 'src/app/services/settings.service'
-import { ConfirmDialogComponent } from '../confirm-dialog.component'
-
-@Component({
-  selector: 'pngx-reprocess-confirm-dialog',
-  templateUrl: './reprocess-confirm-dialog.component.html',
-  imports: [FormsModule],
-})
-export class ReprocessConfirmDialogComponent extends ConfirmDialogComponent {
-  private settings = inject(SettingsService)
-
-  remoteOcr: boolean = false
-
-  public get showRemoteOcr(): boolean {
-    // Hidden when it is not configured, or when it already handles every document anyway.
-    return this.settings.remoteOCRIsSelectable
-  }
-}

src-ui/src/app/components/common/edit-dialog/workflow-edit-dialog/workflow-edit-dialog.component.html

@@ -455,52 +455,6 @@
           </div>
         </div>
       }
-      @case (WorkflowActionType.RemoteOcr) {
-        <div class="row">
-          <div class="col">
-            <p class="text-muted small" i18n>The document will be sent to the configured remote OCR service. May incur costs.</p>
-          </div>
-        </div>
-      }
-      @case (WorkflowActionType.ApplyAiSuggestions) {
-        <div class="row">
-          <div class="col">
-            <p class="text-muted small" i18n>The document will be sent to the configured AI service for suggestions. Consider costs and privacy.</p>
-            <pngx-input-select
-              i18n-title
-              title="Apply suggestions for"
-              [items]="aiSuggestionFieldOptions"
-              [multiple]="true"
-              formControlName="ai_suggestion_fields"
-              [error]="error?.actions?.[i]?.ai_suggestion_fields"
-              hint="Suggestions for fields that are not selected are discarded."
-              i18n-hint
-            ></pngx-input-select>
-          </div>
-        </div>
-        <div class="row">
-          <div class="col-md-6">
-            <pngx-input-switch
-              [horizontal]="true"
-              i18n-title
-              title="Create missing items"
-              formControlName="ai_create_missing"
-              hint="Create suggested tags, correspondents and document types that do not exist yet."
-              i18n-hint
-            ></pngx-input-switch>
-          </div>
-          <div class="col-md-6">
-            <pngx-input-switch
-              [horizontal]="true"
-              i18n-title
-              title="Overwrite existing values"
-              formControlName="ai_overwrite_existing"
-              hint="Apply suggestions even if the document already has a value. Tags are always added, never replaced."
-              i18n-hint
-            ></pngx-input-switch>
-          </div>
-        </div>
-      }
     }
   </div>
 </ng-template>

src-ui/src/app/components/common/edit-dialog/workflow-edit-dialog/workflow-edit-dialog.component.spec.ts

@@ -22,7 +22,6 @@ import {
 } from 'src/app/data/matching-model'
 import { Workflow } from 'src/app/data/workflow'
 import {
-  AISuggestionField,
   WorkflowAction,
   WorkflowActionType,
 } from 'src/app/data/workflow-action'
@@ -30,7 +29,6 @@ import {
   DocumentSource,
   WorkflowTriggerType,
 } from 'src/app/data/workflow-trigger'
-import { SETTINGS_KEYS } from 'src/app/data/ui-settings'
 import { IfOwnerDirective } from 'src/app/directives/if-owner.directive'
 import { IfPermissionsDirective } from 'src/app/directives/if-permissions.directive'
 import { CorrespondentService } from 'src/app/services/rest/correspondent.service'
@@ -50,7 +48,6 @@ import { TagsComponent } from '../../input/tags/tags.component'
 import { TextComponent } from '../../input/text/text.component'
 import { EditDialogMode } from '../edit-dialog.component'
 import {
-  AI_SUGGESTION_FIELD_OPTIONS,
   DOCUMENT_SOURCE_OPTIONS,
   SCHEDULE_DATE_FIELD_OPTIONS,
   TriggerFilterType,
@@ -227,12 +224,7 @@ describe('WorkflowEditDialogComponent', () => {
     ).toEqual('Document Added')
     expect(component.getTriggerTypeOptionName(null)).toEqual('')
     expect(component.sourceOptions).toEqual(DOCUMENT_SOURCE_OPTIONS)
-    // Remote OCR is absent until the workflow has a consumption trigger
-    expect(component.actionTypeOptions).toEqual(
-      WORKFLOW_ACTION_OPTIONS.filter(
-        (a) => a.id !== WorkflowActionType.RemoteOcr
-      )
-    )
+    expect(component.actionTypeOptions).toEqual(WORKFLOW_ACTION_OPTIONS)
     expect(
       component.getActionTypeOptionName(WorkflowActionType.Assignment)
     ).toEqual('Assignment')
@@ -241,231 +233,14 @@ describe('WorkflowEditDialogComponent', () => {
       SCHEDULE_DATE_FIELD_OPTIONS
     )
 
-    // Email, remote OCR and AI all disabled
+    // Email disabled
     jest.spyOn(settingsService, 'get').mockReturnValue(false)
     component.ngOnInit()
     expect(component.actionTypeOptions).toEqual(
-      WORKFLOW_ACTION_OPTIONS.filter(
-        (a) =>
-          a.id !== WorkflowActionType.Email &&
-          a.id !== WorkflowActionType.RemoteOcr &&
-          a.id !== WorkflowActionType.ApplyAiSuggestions
-      )
+      WORKFLOW_ACTION_OPTIONS.filter((a) => a.id !== WorkflowActionType.Email)
     )
   })
 
-  it('should offer remote OCR only for consumption workflows', () => {
-    jest.spyOn(settingsService, 'get').mockReturnValue(true)
-
-    // A consumption trigger makes the action reachable
-    component.object = {
-      name: 'Workflow 1',
-      order: 0,
-      enabled: true,
-      triggers: [{ type: WorkflowTriggerType.Consumption }],
-      actions: [],
-    } as Workflow
-    component.ngOnInit()
-    expect(component.actionTypeOptions.map((a) => a.id)).toContain(
-      WorkflowActionType.RemoteOcr
-    )
-
-    // Any other trigger type runs after the document has been parsed
-    component.object = {
-      name: 'Workflow 2',
-      order: 0,
-      enabled: true,
-      triggers: [{ type: WorkflowTriggerType.DocumentAdded }],
-      actions: [],
-    } as Workflow
-    component.ngOnInit()
-    expect(component.actionTypeOptions.map((a) => a.id)).not.toContain(
-      WorkflowActionType.RemoteOcr
-    )
-  })
-
-  it('should offer remote OCR on a trigger added to a new workflow', () => {
-    jest.spyOn(settingsService, 'get').mockReturnValue(true)
-    component.ngOnInit()
-
-    // Nothing for the action to apply to yet
-    expect(component.actionTypeOptions.map((a) => a.id)).not.toContain(
-      WorkflowActionType.RemoteOcr
-    )
-
-    // addTrigger creates the form field with emitEvent false, so the options
-    // have to be computed on read rather than cached from valueChanges
-    component.addTrigger()
-    expect(component.actionTypeOptions.map((a) => a.id)).toContain(
-      WorkflowActionType.RemoteOcr
-    )
-
-    // Switching that trigger to a type that runs after parsing removes it
-    component.triggerFields
-      .at(0)
-      .get('type')
-      .setValue(WorkflowTriggerType.DocumentAdded)
-    expect(component.actionTypeOptions.map((a) => a.id)).not.toContain(
-      WorkflowActionType.RemoteOcr
-    )
-  })
-
-  it('should keep remote OCR listed when an action already uses it', () => {
-    jest.spyOn(settingsService, 'get').mockReturnValue(true)
-
-    // Otherwise changing the trigger would silently blank the selection
-    component.object = {
-      name: 'Workflow 1',
-      order: 0,
-      enabled: true,
-      triggers: [{ type: WorkflowTriggerType.DocumentAdded }],
-      actions: [{ type: WorkflowActionType.RemoteOcr }],
-    } as Workflow
-    component.ngOnInit()
-
-    expect(component.actionTypeOptions.map((a) => a.id)).toContain(
-      WorkflowActionType.RemoteOcr
-    )
-  })
-
-  it('should not offer remote OCR when no engine is configured', () => {
-    jest
-      .spyOn(settingsService, 'get')
-      .mockImplementation((key) => key !== SETTINGS_KEYS.REMOTE_OCR_CONFIGURED)
-
-    component.object = {
-      name: 'Workflow 1',
-      order: 0,
-      enabled: true,
-      triggers: [{ type: WorkflowTriggerType.Consumption }],
-      actions: [],
-    } as Workflow
-    component.ngOnInit()
-
-    expect(component.actionTypeOptions.map((a) => a.id)).not.toContain(
-      WorkflowActionType.RemoteOcr
-    )
-  })
-
-  it('should offer apply AI suggestions unless every trigger is consumption', () => {
-    jest.spyOn(settingsService, 'get').mockReturnValue(true)
-
-    // Consumption runs before the document has been parsed, so there would be
-    // no content to make suggestions from
-    component.object = {
-      name: 'Workflow 1',
-      order: 0,
-      enabled: true,
-      triggers: [{ type: WorkflowTriggerType.Consumption }],
-      actions: [],
-    } as Workflow
-    component.ngOnInit()
-    expect(component.actionTypeOptions.map((a) => a.id)).not.toContain(
-      WorkflowActionType.ApplyAiSuggestions
-    )
-
-    // A second, usable trigger is enough
-    component.object = {
-      name: 'Workflow 2',
-      order: 0,
-      enabled: true,
-      triggers: [
-        { type: WorkflowTriggerType.Consumption },
-        { type: WorkflowTriggerType.DocumentAdded },
-      ],
-      actions: [],
-    } as Workflow
-    component.ngOnInit()
-    expect(component.actionTypeOptions.map((a) => a.id)).toContain(
-      WorkflowActionType.ApplyAiSuggestions
-    )
-  })
-
-  it('should keep apply AI suggestions listed when an action already uses it', () => {
-    jest.spyOn(settingsService, 'get').mockReturnValue(true)
-
-    // Otherwise changing the trigger would silently blank the selection
-    component.object = {
-      name: 'Workflow 1',
-      order: 0,
-      enabled: true,
-      triggers: [{ type: WorkflowTriggerType.Consumption }],
-      actions: [{ type: WorkflowActionType.ApplyAiSuggestions }],
-    } as Workflow
-    component.ngOnInit()
-
-    expect(component.actionTypeOptions.map((a) => a.id)).toContain(
-      WorkflowActionType.ApplyAiSuggestions
-    )
-  })
-
-  it('should not offer apply AI suggestions when AI is disabled', () => {
-    jest
-      .spyOn(settingsService, 'get')
-      .mockImplementation((key) => key !== SETTINGS_KEYS.AI_ENABLED)
-
-    component.object = {
-      name: 'Workflow 1',
-      order: 0,
-      enabled: true,
-      triggers: [{ type: WorkflowTriggerType.DocumentAdded }],
-      actions: [],
-    } as Workflow
-    component.ngOnInit()
-
-    expect(component.actionTypeOptions.map((a) => a.id)).not.toContain(
-      WorkflowActionType.ApplyAiSuggestions
-    )
-  })
-
-  it('should create form fields for apply AI suggestions options', () => {
-    component.object = {
-      name: 'Workflow 1',
-      order: 0,
-      enabled: true,
-      triggers: [{ type: WorkflowTriggerType.DocumentAdded }],
-      actions: [
-        {
-          type: WorkflowActionType.ApplyAiSuggestions,
-          ai_suggestion_fields: [
-            AISuggestionField.Title,
-            AISuggestionField.Tags,
-          ],
-          ai_create_missing: true,
-          ai_overwrite_existing: true,
-        },
-      ],
-    } as Workflow
-    component.ngOnInit()
-
-    const action = component.actionFields.at(0)
-    expect(action.get('ai_suggestion_fields').value).toEqual([
-      AISuggestionField.Title,
-      AISuggestionField.Tags,
-    ])
-    expect(action.get('ai_create_missing').value).toBeTruthy()
-    expect(action.get('ai_overwrite_existing').value).toBeTruthy()
-    expect(component.aiSuggestionFieldOptions).toEqual(
-      AI_SUGGESTION_FIELD_OPTIONS
-    )
-  })
-
-  it('should default apply AI suggestions options on a new action', () => {
-    component.object = {
-      name: 'Workflow 1',
-      order: 0,
-      enabled: true,
-      triggers: [{ type: WorkflowTriggerType.DocumentAdded }],
-      actions: [],
-    } as Workflow
-    component.addAction()
-
-    const action = component.actionFields.at(component.actionFields.length - 1)
-    expect(action.get('ai_suggestion_fields').value).toEqual([])
-    expect(action.get('ai_create_missing').value).toBeFalsy()
-    expect(action.get('ai_overwrite_existing').value).toBeFalsy()
-  })
-
   it('should support add and remove triggers and actions', () => {
     component.object = workflow
     component.addTrigger()

src-ui/src/app/components/common/edit-dialog/workflow-edit-dialog/workflow-edit-dialog.component.ts

@@ -30,7 +30,6 @@ import { StoragePath } from 'src/app/data/storage-path'
 import { SETTINGS_KEYS } from 'src/app/data/ui-settings'
 import { Workflow } from 'src/app/data/workflow'
 import {
-  AISuggestionField,
   WorkflowAction,
   WorkflowActionType,
 } from 'src/app/data/workflow-action'
@@ -149,41 +148,6 @@ export const WORKFLOW_ACTION_OPTIONS = [
     id: WorkflowActionType.MoveToTrash,
     name: $localize`Move to trash`,
   },
-  {
-    id: WorkflowActionType.RemoteOcr,
-    name: $localize`Remote OCR`,
-  },
-  {
-    id: WorkflowActionType.ApplyAiSuggestions,
-    name: $localize`Apply AI suggestions`,
-  },
-]
-
-export const AI_SUGGESTION_FIELD_OPTIONS = [
-  {
-    id: AISuggestionField.Title,
-    name: $localize`Title`,
-  },
-  {
-    id: AISuggestionField.Tags,
-    name: $localize`Tags`,
-  },
-  {
-    id: AISuggestionField.Correspondent,
-    name: $localize`Correspondent`,
-  },
-  {
-    id: AISuggestionField.DocumentType,
-    name: $localize`Document type`,
-  },
-  {
-    id: AISuggestionField.StoragePath,
-    name: $localize`Storage path`,
-  },
-  {
-    id: AISuggestionField.Created,
-    name: $localize`Created date`,
-  },
 ]
 
 export enum TriggerFilterType {
@@ -540,6 +504,8 @@ export class WorkflowEditDialogComponent
 
   expandedItem: number = null
 
+  readonly allowedActionTypes = signal([])
+
   private readonly triggerFilterOptionsMap = new WeakMap<
     FormArray,
     TriggerFilterOption[]
@@ -582,58 +548,13 @@ export class WorkflowEditDialogComponent
       this.checkRemovalActionFields.bind(this)
     )
     this.checkRemovalActionFields(this.objectForm.value)
-  }
-
-  private allowedActionTypes: typeof WORKFLOW_ACTION_OPTIONS = null
-
-  private getAllowedActionTypes() {
-    let allowed = WORKFLOW_ACTION_OPTIONS
-
-    if (!this.settingsService.get(SETTINGS_KEYS.EMAIL_ENABLED)) {
-      allowed = allowed.filter((a) => a.id !== WorkflowActionType.Email)
-    }
-
-    // Remote OCR is decided before the document is parsed, so it is only
-    // offered for workflows that run at consumption.
-    const formWorkflow: Workflow = this.objectForm?.value
-    const remoteOcrUsable =
-      this.settingsService.get(SETTINGS_KEYS.REMOTE_OCR_CONFIGURED) &&
-      (formWorkflow?.triggers?.some(
-        (trigger) => trigger.type === WorkflowTriggerType.Consumption
-      ) ||
-        formWorkflow?.actions?.some(
-          (action) => action.type === WorkflowActionType.RemoteOcr
-        ))
-    if (!remoteOcrUsable) {
-      allowed = allowed.filter((a) => a.id !== WorkflowActionType.RemoteOcr)
-    }
-
-    // Only available after consumption. Unlike remote OCR this is hidden only
-    // once every trigger is consumption, so it stays offered on a workflow
-    // that has no triggers yet.
-    const aiSuggestionsUsable =
-      this.settingsService.get(SETTINGS_KEYS.AI_ENABLED) &&
-      (!formWorkflow?.triggers?.length ||
-        formWorkflow.triggers.some(
-          (trigger) => trigger.type !== WorkflowTriggerType.Consumption
-        ) ||
-        formWorkflow.actions?.some(
-          (action) => action.type === WorkflowActionType.ApplyAiSuggestions
-        ))
-    if (!aiSuggestionsUsable) {
-      allowed = allowed.filter(
-        (a) => a.id !== WorkflowActionType.ApplyAiSuggestions
-      )
-    }
-
-    if (
-      this.allowedActionTypes?.length === allowed.length &&
-      this.allowedActionTypes.every((a, i) => a.id === allowed[i].id)
-    ) {
-      return this.allowedActionTypes
-    }
-    this.allowedActionTypes = allowed
-    return allowed
+    this.allowedActionTypes.set(
+      this.settingsService.get(SETTINGS_KEYS.EMAIL_ENABLED)
+        ? WORKFLOW_ACTION_OPTIONS
+        : WORKFLOW_ACTION_OPTIONS.filter(
+            (a) => a.id !== WorkflowActionType.Email
+          )
+    )
   }
 
   private checkRemovalActionFields(formWorkflow: Workflow) {
@@ -1277,11 +1198,6 @@ export class WorkflowEditDialogComponent
         passwords: new FormControl(
           this.formatPasswords(action.passwords ?? [])
         ),
-        ai_suggestion_fields: new FormControl(
-          action.ai_suggestion_fields ?? []
-        ),
-        ai_create_missing: new FormControl(!!action.ai_create_missing),
-        ai_overwrite_existing: new FormControl(!!action.ai_overwrite_existing),
       }),
       { emitEvent }
     )
@@ -1363,18 +1279,13 @@ export class WorkflowEditDialogComponent
 
   get actionTypeOptions() {
     this.settingsService.trackChanges()
-    // Computed on read rather than cached
-    return this.getAllowedActionTypes()
+    return this.allowedActionTypes()
   }
 
   getActionTypeOptionName(type: WorkflowActionType): string {
     return this.actionTypeOptions.find((t) => t.id === type)?.name ?? ''
   }
 
-  get aiSuggestionFieldOptions() {
-    return AI_SUGGESTION_FIELD_OPTIONS
-  }
-
   addAction() {
     if (!this.object) {
       this.object = Object.assign({}, this.objectForm.value)
@@ -1428,9 +1339,6 @@ export class WorkflowEditDialogComponent
         include_document: false,
       },
       passwords: [],
-      ai_suggestion_fields: [],
-      ai_create_missing: false,
-      ai_overwrite_existing: false,
     }
     this.object.actions.push(action)
     this.createActionField(action)

src-ui/src/app/components/common/logo/brand-mark/brand-mark.component.html

@@ -1,3 +0,0 @@
-<svg class="w-100 h-100 d-block" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1000 1000" fill="currentColor" aria-hidden="true">
-  <path d="M341,949.1c-6.9-20.3-20.7-61.2-21.9-61-199.6-88.9-182.5-229.8-134.3-347.5,30,137.2,268.8,148.9,146.2,336-.9,2.2,10,27.8,19.5,51.3,22.7-51.9,58.6-115.5,55.8-120.8C178,398.7,724.9,299,807.1,18.5c83,251.5,53.1,659.8-377.4,814.9-2,1.4-63.5,148.6-66.9,150.2-.2-2.1-33.2,2.9-30.1-8.7,1.6-7,4.8-16.2,8.2-25.6h0v-.2h.1ZM323.1,846.2c48.3-71.9-12.7-120.8-56.9-152.2,81.2,107.4,66.4,120.8,56.9,152.2h0Z"/>
-</svg>

src-ui/src/app/components/common/logo/brand-mark/brand-mark.component.ts

@@ -1,14 +0,0 @@
-import { Component, input } from '@angular/core'
-
-@Component({
-  selector: 'pngx-brand-mark',
-  templateUrl: './brand-mark.component.html',
-  host: {
-    '[style.width]': 'width()',
-    '[style.height]': 'height()',
-  },
-})
-export class BrandMarkComponent {
-  readonly width = input<string>(null)
-  readonly height = input<string>(null)
-}

src-ui/src/app/components/common/page-header/page-header.component.html

@@ -1,6 +1,6 @@
-<div class="row pt-3 pb-2 align-items-center">
+<div class="row pt-3 pb-3 pb-md-2 align-items-center">
   <div class="col-md text-truncate">
-    <h3 class="d-flex align-items-center mb-2 mb-md-1" style="line-height: 1.4">
+    <h3 class="d-flex align-items-center mb-1" style="line-height: 1.4">
       <span class="text-truncate">{{title()}}</span>
       @if (id()) {
         <span class="badge bg-primary text-primary-text-contrast ms-3 small fs-normal cursor-pointer" (click)="copyID()">
@@ -12,10 +12,10 @@
         </span>
       }
       @if (subTitle()) {
-        <span class="page-subtitle h6 mb-0 mt-1 fw-normal ms-md-3 text-truncate" style="line-height: 1.4">{{subTitle()}}</span>
+        <span class="h6 mb-0 mt-1 d-block d-md-inline fw-normal ms-md-3 text-truncate" style="line-height: 1.4">{{subTitle()}}</span>
       }
       @if (info()) {
-        <button class="btn btn-sm btn-link text-muted p-0 ms-2 p-md-2 ms-md-0" title="What's this?" i18n-title type="button" [ngbPopover]="infoPopover" [autoClose]="true">
+        <button class="btn btn-sm btn-link text-muted p-0 p-md-2" title="What's this?" i18n-title type="button" [ngbPopover]="infoPopover" [autoClose]="true">
           <i-bs name="question-circle"></i-bs>
         </button>
         <ng-template #infoPopover>

src-ui/src/app/components/common/page-header/page-header.component.scss

@@ -1,6 +1,5 @@
 h3 {
     min-height: calc(1.325rem + 0.9vw);
-    flex-wrap: wrap;
 
     .badge {
         font-size: 0.65rem;
@@ -8,16 +7,6 @@ h3 {
     }
 }
 
-// Drop the subtitle onto its own and shrink it
-@media (max-width: 767.98px) {
-    h3 > .page-subtitle {
-        flex: 0 0 100%;
-        margin-top: 0 !important;
-        font-size: .7rem;
-        line-height: 1.3 !important;
-    }
-}
-
 :host {
   display: block;
   margin-bottom: .35rem;

src-ui/src/app/components/dashboard/widgets/welcome-widget/welcome-widget.component.html

@@ -1,18 +1,10 @@
-<ngb-alert class="welcome-widget bg-light shadow-sm pe-3 position-relative overflow-hidden" type="primary" [dismissible]="true" (closed)="dismiss.emit(true)">
-  <pngx-brand-mark class="welcome-watermark d-none d-md-block position-absolute top-50 translate-middle-y text-primary pe-none" width="26rem" height="26rem"></pngx-brand-mark>
-  <div class="d-flex align-items-start gap-3 gap-md-4 position-relative">
-    <pngx-brand-mark class="d-none d-sm-block flex-shrink-0 text-primary" width="3rem" height="3rem"></pngx-brand-mark>
-    <div class="flex-grow-1">
-      <h4 class="alert-heading text-primary fw-semibold"><ng-container i18n>Paperless-ngx is running!</ng-container> 🎉</h4>
-      <div class="welcome-copy text-dark">
-        <p i18n>You're ready to start uploading documents! Explore the various features of this web app on your own, or start a quick tour using the button below.</p>
-        <p class="mb-0" i18n>More detail on how to use and configure Paperless-ngx is always available in the <a href="https://docs.paperless-ngx.com" target="_blank">documentation</a>.</p>
-      </div>
-      <hr class="opacity-100">
-      <div class="d-flex flex-column flex-sm-row align-items-sm-center gap-3">
-        <p class="m-0 text-secondary"><em i18n>Thanks for being a part of the Paperless-ngx community!</em></p>
-        <button class="btn btn-primary ms-sm-auto flex-shrink-0 align-self-start align-self-sm-auto" (click)="tourService.start()"><ng-container i18n>Start the tour</ng-container> &rarr;</button>
-      </div>
-    </div>
+<ngb-alert class="pe-3" type="primary" [dismissible]="true" (closed)="dismiss.emit(true)">
+  <h4 class="alert-heading"><ng-container i18n>Paperless-ngx is running!</ng-container> 🎉</h4>
+  <p i18n>You're ready to start uploading documents! Explore the various features of this web app on your own, or start a quick tour using the button below.</p>
+  <p i18n>More detail on how to use and configure Paperless-ngx is always available in the <a href="https://docs.paperless-ngx.com" target="_blank">documentation</a>.</p>
+  <hr>
+  <div class="d-flex align-items-end">
+    <p class="lead fs-6 m-0"><em i18n>Thanks for being a part of the Paperless-ngx community!</em></p>
+    <button class="btn btn-primary ms-auto flex-shrink-0" (click)="tourService.start()"><ng-container i18n>Start the tour</ng-container> &rarr;</button>
   </div>
 </ngb-alert>

src-ui/src/app/components/dashboard/widgets/welcome-widget/welcome-widget.component.scss

@@ -1,16 +0,0 @@
-.welcome-widget {
-  border-color: color-mix(in srgb, var(--bs-primary) 50%, transparent);
-
-  hr {
-    border-top-color: color-mix(in srgb, var(--bs-primary) 25%, transparent);
-  }
-}
-
-.welcome-copy {
-  max-width: 68ch;
-}
-
-.welcome-watermark {
-  right: -6rem;
-  opacity: .07;
-}

src-ui/src/app/components/dashboard/widgets/welcome-widget/welcome-widget.component.ts

@@ -1,13 +1,12 @@
 import { Component, EventEmitter, Output, inject } from '@angular/core'
 import { NgbAlertModule } from '@ng-bootstrap/ng-bootstrap'
 import { TourService } from 'ngx-ui-tour-ng-bootstrap'
-import { BrandMarkComponent } from '../../../common/logo/brand-mark/brand-mark.component'
 
 @Component({
   selector: 'pngx-welcome-widget',
   templateUrl: './welcome-widget.component.html',
   styleUrls: ['./welcome-widget.component.scss'],
-  imports: [NgbAlertModule, BrandMarkComponent],
+  imports: [NgbAlertModule],
 })
 export class WelcomeWidgetComponent {
   readonly tourService = inject(TourService)

src-ui/src/app/components/document-detail/document-detail.component.spec.ts

@@ -963,24 +963,12 @@ describe('DocumentDetailComponent', () => {
     component.reprocess()
     const modalCloseSpy = jest.spyOn(openModal, 'close')
     openModal.componentInstance.confirmClicked.next()
-    expect(reprocessSpy).toHaveBeenCalledWith({ documents: [doc.id] }, false)
+    expect(reprocessSpy).toHaveBeenCalledWith({ documents: [doc.id] })
     expect(modalSpy).toHaveBeenCalled()
     expect(toastSpy).toHaveBeenCalled()
     expect(modalCloseSpy).toHaveBeenCalled()
   })
 
-  it('should pass remote OCR choice when reprocessing', () => {
-    initNormally()
-    const reprocessSpy = jest.spyOn(documentService, 'reprocessDocuments')
-    reprocessSpy.mockReturnValue(of(true))
-    let openModal: NgbModalRef
-    modalService.activeInstances.subscribe((modal) => (openModal = modal[0]))
-    component.reprocess()
-    openModal.componentInstance.remoteOcr = true
-    openModal.componentInstance.confirmClicked.next()
-    expect(reprocessSpy).toHaveBeenCalledWith({ documents: [doc.id] }, true)
-  })
-
   it('should show error if redo ocr call fails', () => {
     initNormally()
     const reprocessSpy = jest.spyOn(documentService, 'reprocessDocuments')

src-ui/src/app/components/document-detail/document-detail.component.ts

@@ -97,7 +97,6 @@ import { ISODateAdapter } from 'src/app/utils/ngb-iso-date-adapter'
 import * as UTIF from 'utif'
 import { DocumentDetailFieldID } from '../admin/settings/settings.component'
 import { ConfirmDialogComponent } from '../common/confirm-dialog/confirm-dialog.component'
-import { ReprocessConfirmDialogComponent } from '../common/confirm-dialog/reprocess-confirm-dialog/reprocess-confirm-dialog.component'
 import { PasswordRemovalConfirmDialogComponent } from '../common/confirm-dialog/password-removal-confirm-dialog/password-removal-confirm-dialog.component'
 import { CustomFieldsDropdownComponent } from '../common/custom-fields-dropdown/custom-fields-dropdown.component'
 import { CorrespondentEditDialogComponent } from '../common/edit-dialog/correspondent-edit-dialog/correspondent-edit-dialog.component'
@@ -1399,7 +1398,7 @@ export class DocumentDetailComponent
   }
 
   reprocess() {
-    let modal = this.modalService.open(ReprocessConfirmDialogComponent, {
+    let modal = this.modalService.open(ConfirmDialogComponent, {
       backdrop: 'static',
     })
     modal.componentInstance.title = $localize`Reprocess confirm`
@@ -1410,10 +1409,7 @@ export class DocumentDetailComponent
     modal.componentInstance.confirmClicked.subscribe(() => {
       modal.componentInstance.buttonsEnabled.set(false)
       this.documentsService
-        .reprocessDocuments(
-          { documents: [this.document().id] },
-          modal.componentInstance.remoteOcr
-        )
+        .reprocessDocuments({ documents: [this.document().id] })
         .subscribe({
           next: () => {
             this.toastService.showInfo(

src-ui/src/app/components/document-list/bulk-editor/bulk-editor.component.spec.ts

@@ -1122,7 +1122,6 @@ describe('BulkEditorComponent', () => {
     req.flush(true)
     expect(req.request.body).toEqual({
       documents: [3, 4],
-      remote_ocr: false,
     })
     httpTestingController.match(
       `${environment.apiBaseUrl}documents/?page=1&page_size=50&ordering=-created&truncate_content=true&include_selection_data=true`

src-ui/src/app/components/document-list/bulk-editor/bulk-editor.component.ts

@@ -52,7 +52,6 @@ import { flattenTags } from 'src/app/utils/flatten-tags'
 import { queryParamsFromFilterRules } from 'src/app/utils/query-params'
 import { MergeAsVersionsConfirmDialogComponent } from '../../common/confirm-dialog/merge-as-versions-confirm-dialog/merge-as-versions-confirm-dialog.component'
 import { MergeConfirmDialogComponent } from '../../common/confirm-dialog/merge-confirm-dialog/merge-confirm-dialog.component'
-import { ReprocessConfirmDialogComponent } from '../../common/confirm-dialog/reprocess-confirm-dialog/reprocess-confirm-dialog.component'
 import { RotateConfirmDialogComponent } from '../../common/confirm-dialog/rotate-confirm-dialog/rotate-confirm-dialog.component'
 import { CorrespondentEditDialogComponent } from '../../common/edit-dialog/correspondent-edit-dialog/correspondent-edit-dialog.component'
 import { CustomFieldEditDialogComponent } from '../../common/edit-dialog/custom-field-edit-dialog/custom-field-edit-dialog.component'
@@ -917,7 +916,7 @@ export class BulkEditorComponent
   }
 
   reprocessSelected() {
-    let modal = this.modalService.open(ReprocessConfirmDialogComponent, {
+    let modal = this.modalService.open(ConfirmDialogComponent, {
       backdrop: 'static',
     })
     modal.componentInstance.title = $localize`Reprocess confirm`
@@ -931,10 +930,7 @@ export class BulkEditorComponent
         modal.componentInstance.buttonsEnabled.set(false)
         this.executeDocumentAction(
           modal,
-          this.documentService.reprocessDocuments(
-            this.getSelectionQuery(),
-            modal.componentInstance.remoteOcr
-          )
+          this.documentService.reprocessDocuments(this.getSelectionQuery())
         )
       })
   }

src-ui/src/app/data/paperless-config.ts

@@ -54,10 +54,6 @@ export const ConfigCategory = {
   AI: $localize`AI Settings`,
 }
 
-export const ConfigSection = {
-  RemoteOCR: $localize`Remote OCR`,
-}
-
 export const LLMEmbeddingBackendConfig = {
   OPENAI_LIKE: 'openai-like',
   HUGGINGFACE: 'huggingface',
@@ -69,15 +65,6 @@ export const LLMBackendConfig = {
   OLLAMA: 'ollama',
 }
 
-export const RemoteOCREngineConfig = {
-  AZURE_AI: 'azureai',
-}
-
-export const RemoteOCRModeConfig = {
-  ALWAYS: 'always',
-  WORKFLOW_ONLY: 'workflow_only',
-}
-
 export interface ConfigOption {
   key: string
   title: string
@@ -85,7 +72,6 @@ export interface ConfigOption {
   choices?: Array<{ id: string; name: string }>
   config_key?: string
   category: string
-  section?: string
   note?: string
 }
 
@@ -195,43 +181,6 @@ export const PaperlessConfigOptions: ConfigOption[] = [
     config_key: 'PAPERLESS_OCR_USER_ARGS',
     category: ConfigCategory.OCR,
   },
-  {
-    key: 'remote_ocr_engine',
-    title: $localize`Remote OCR Engine`,
-    type: ConfigOptionType.Select,
-    choices: mapToItems(RemoteOCREngineConfig),
-    config_key: 'PAPERLESS_REMOTE_OCR_ENGINE',
-    category: ConfigCategory.OCR,
-    section: ConfigSection.RemoteOCR,
-    note: $localize`Enabling remote OCR sends documents to a third-party service for processing. Consider the privacy implications as well as potential costs before enabling.`,
-  },
-  {
-    key: 'remote_ocr_api_key',
-    title: $localize`Remote OCR API Key`,
-    type: ConfigOptionType.Password,
-    config_key: 'PAPERLESS_REMOTE_OCR_API_KEY',
-    category: ConfigCategory.OCR,
-    section: ConfigSection.RemoteOCR,
-  },
-  {
-    key: 'remote_ocr_endpoint',
-    title: $localize`Remote OCR Endpoint`,
-    type: ConfigOptionType.String,
-    config_key: 'PAPERLESS_REMOTE_OCR_ENDPOINT',
-    category: ConfigCategory.OCR,
-    section: ConfigSection.RemoteOCR,
-    note: $localize`Required when using the Azure AI engine.`,
-  },
-  {
-    key: 'remote_ocr_mode',
-    title: $localize`Remote OCR Mode`,
-    type: ConfigOptionType.Select,
-    choices: mapToItems(RemoteOCRModeConfig),
-    config_key: 'PAPERLESS_REMOTE_OCR_MODE',
-    category: ConfigCategory.OCR,
-    section: ConfigSection.RemoteOCR,
-    note: $localize`Which documents are sent to the remote engine. Use 'workflow_only' to keep remote OCR off unless a workflow enables it for a document.`,
-  },
   {
     key: 'app_logo',
     title: $localize`Application Logo`,
@@ -449,10 +398,6 @@ export interface PaperlessConfig extends ObjectWithId {
   barcode_enable_tag: boolean
   barcode_tag_mapping: object
   barcode_tag_split: boolean
-  remote_ocr_engine: string
-  remote_ocr_api_key: string
-  remote_ocr_endpoint: string
-  remote_ocr_mode: string
   ai_enabled: boolean
   llm_embedding_backend: string
   llm_embedding_model: string

src-ui/src/app/data/ui-settings.ts

@@ -1,6 +1,5 @@
 import { PdfEditorEditMode } from '../components/common/pdf-editor/pdf-editor-edit-mode'
 import { PdfZoomScale } from '../components/common/pdf-viewer/pdf-viewer.types'
-import { RemoteOCRModeConfig } from './paperless-config'
 import { User } from './user'
 
 export interface UiSettings {
@@ -95,8 +94,6 @@ export const SETTINGS_KEYS = {
   OUTLOOK_OAUTH_URL: 'outlook_oauth_url',
   EMAIL_ENABLED: 'email_enabled',
   AI_ENABLED: 'ai_enabled',
-  REMOTE_OCR_CONFIGURED: 'remote_ocr:configured',
-  REMOTE_OCR_MODE: 'remote_ocr:mode',
 }
 
 export const SETTINGS: UiSetting[] = [
@@ -350,14 +347,4 @@ export const SETTINGS: UiSetting[] = [
     type: 'string',
     default: PdfEditorEditMode.Create,
   },
-  {
-    key: SETTINGS_KEYS.REMOTE_OCR_CONFIGURED,
-    type: 'boolean',
-    default: false,
-  },
-  {
-    key: SETTINGS_KEYS.REMOTE_OCR_MODE,
-    type: 'string',
-    default: RemoteOCRModeConfig.ALWAYS,
-  },
 ]

src-ui/src/app/data/workflow-action.ts

@@ -7,18 +7,6 @@ export enum WorkflowActionType {
   Webhook = 4,
   PasswordRemoval = 5,
   MoveToTrash = 6,
-  RemoteOcr = 7,
-  ApplyAiSuggestions = 8,
-}
-
-// see src/documents/models.py AISuggestionField
-export enum AISuggestionField {
-  Title = 'title',
-  Tags = 'tags',
-  Correspondent = 'correspondent',
-  DocumentType = 'document_type',
-  StoragePath = 'storage_path',
-  Created = 'created',
 }
 
 export interface WorkflowActionEmail extends ObjectWithId {
@@ -113,10 +101,4 @@ export interface WorkflowAction extends ObjectWithId {
   webhook?: WorkflowActionWebhook
 
   passwords?: string[]
-
-  ai_suggestion_fields?: AISuggestionField[]
-
-  ai_create_missing?: boolean
-
-  ai_overwrite_existing?: boolean
 }

src-ui/src/app/services/rest/document.service.spec.ts

@@ -284,21 +284,6 @@ describe(`DocumentService`, () => {
     expect(req.request.method).toEqual('POST')
     expect(req.request.body).toEqual({
       documents: ids,
-      remote_ocr: false,
-    })
-  })
-
-  it('should request remote OCR when reprocessing with it enabled', () => {
-    const ids = [1, 2, 3]
-    subscription = service
-      .reprocessDocuments({ documents: ids }, true)
-      .subscribe()
-    const req = httpTestingController.expectOne(
-      `${environment.apiBaseUrl}${endpoint}/reprocess/`
-    )
-    expect(req.request.body).toEqual({
-      documents: ids,
-      remote_ocr: true,
     })
   })
 

src-ui/src/app/services/rest/document.service.ts

@@ -349,13 +349,9 @@ export class DocumentService extends AbstractPaperlessService<Document> {
     })
   }
 
-  reprocessDocuments(
-    selection: DocumentSelectionQuery,
-    remoteOcr: boolean = false
-  ) {
+  reprocessDocuments(selection: DocumentSelectionQuery) {
     return this.http.post(this.getResourceUrl(null, 'reprocess'), {
       ...selection,
-      remote_ocr: remoteOcr,
     })
   }
 

src-ui/src/app/services/settings.service.spec.ts

@@ -13,7 +13,6 @@ import { environment } from 'src/environments/environment'
 import { CustomFieldDataType } from '../data/custom-field'
 import { DEFAULT_DISPLAY_FIELDS, DisplayField } from '../data/document'
 import { SavedView } from '../data/saved-view'
-import { RemoteOCRModeConfig } from '../data/paperless-config'
 import { SETTINGS_KEYS, UiSettings } from '../data/ui-settings'
 import { PermissionsService } from './permissions.service'
 import { CustomFieldsService } from './rest/custom-fields.service'
@@ -435,26 +434,4 @@ describe('SettingsService', () => {
         ).name
     ).toEqual(customFields[0].name)
   })
-  it('should offer remote OCR only when configured and selective', () => {
-    settingsService.set(SETTINGS_KEYS.REMOTE_OCR_CONFIGURED, false)
-    settingsService.set(
-      SETTINGS_KEYS.REMOTE_OCR_MODE,
-      RemoteOCRModeConfig.WORKFLOW_ONLY
-    )
-    expect(settingsService.remoteOCRIsSelectable).toBeFalsy()
-
-    // configured, but already handling every document
-    settingsService.set(SETTINGS_KEYS.REMOTE_OCR_CONFIGURED, true)
-    settingsService.set(
-      SETTINGS_KEYS.REMOTE_OCR_MODE,
-      RemoteOCRModeConfig.ALWAYS
-    )
-    expect(settingsService.remoteOCRIsSelectable).toBeFalsy()
-
-    settingsService.set(
-      SETTINGS_KEYS.REMOTE_OCR_MODE,
-      RemoteOCRModeConfig.WORKFLOW_ONLY
-    )
-    expect(settingsService.remoteOCRIsSelectable).toBeTruthy()
-  })
 })

src-ui/src/app/services/settings.service.ts

@@ -19,7 +19,6 @@ import {
 } from 'src/app/utils/color'
 import { DEFAULT_APP_TITLE, environment } from 'src/environments/environment'
 import { DEFAULT_DISPLAY_FIELDS, DisplayField } from '../data/document'
-import { RemoteOCRModeConfig } from '../data/paperless-config'
 import { SavedView } from '../data/saved-view'
 import {
   PAPERLESS_GREEN_HEX,
@@ -688,17 +687,6 @@ export class SettingsService {
     return this.settingIsSet(SETTINGS_KEYS.UPDATE_CHECKING_ENABLED)
   }
 
-  /**
-   * Offering remote OCR as a  choice only makes sense when an engine
-   * is configured but is not already handling every document.
-   */
-  get remoteOCRIsSelectable(): boolean {
-    return (
-      this.get(SETTINGS_KEYS.REMOTE_OCR_CONFIGURED) &&
-      this.get(SETTINGS_KEYS.REMOTE_OCR_MODE) !== RemoteOCRModeConfig.ALWAYS
-    )
-  }
-
   offerTour(): boolean {
     return this.dashboardIsEmpty() && !this.get(SETTINGS_KEYS.TOUR_COMPLETE)
   }

src-ui/src/main.ts

@@ -118,7 +118,6 @@ import {
   journalBookmarkFill,
   journals,
   link,
-  list,
   listNested,
   listTask,
   listUl,
@@ -366,7 +365,6 @@ const icons = {
   journalBookmarkFill,
   journals,
   link,
-  list,
   listNested,
   listTask,
   listUl,

src-ui/src/styles.scss

@@ -536,7 +536,6 @@ ul.pagination {
 }
 
 .nav-underline {
-  gap: calc(0.5 * var(--bs-nav-underline-gap)) var(--bs-nav-underline-gap);
   .nav-link {
     &.active, &:hover, &:focus {
       color: var(--bs-primary);

src/documents/bulk_edit.py

@@ -399,16 +399,10 @@ def delete(doc_ids: list[int]) -> Literal["OK"]:
     return "OK"
 
 
-def reprocess(doc_ids: list[int], *, remote_ocr: bool = False) -> Literal["OK"]:
-    """
-    Re-run parsing for the given documents.
-
-    Consumption workflows do not run here, so ``remote_ocr`` is how the user
-    asks for the remote engine when it is not configured to handle everything.
-    """
+def reprocess(doc_ids: list[int]) -> Literal["OK"]:
     for document_id in doc_ids:
         update_document_content_maybe_archive_file.apply_async(
-            kwargs={"document_id": document_id, "remote_ocr": remote_ocr},
+            kwargs={"document_id": document_id},
             headers={"trigger_source": PaperlessTask.TriggerSource.MANUAL},
         )
 

src/documents/consumer.py

@@ -53,7 +53,6 @@ from documents.utils import copy_basic_file_stats
 from documents.utils import copy_file_with_basic_stats
 from documents.utils import run_subprocess
 from paperless.config import OcrConfig
-from paperless.config import RemoteOCRConfig
 from paperless.models import ArchiveFileGenerationChoices
 from paperless.parsers import ParserContext
 from paperless.parsers import ParserProtocol
@@ -452,19 +451,12 @@ class ConsumerPlugin(
                 except Exception as e:
                     self.log.error(f"Error attempting to clean PDF: {e}")
 
-            # Workflows have already run at this point, so the metadata knows
-            # whether this document was singled out for remote OCR
-            allow_remote = (
-                self.metadata.remote_ocr or RemoteOCRConfig().remote_ocr_by_default
-            )
-
             # Based on the mime type, get the parser for that type
             parser_class: type[ParserProtocol] | None = (
                 get_parser_registry().get_parser_for_file(
                     mime_type,
                     self.filename,
                     self.working_copy,
-                    allow_remote=allow_remote,
                 )
             )
             if not parser_class:
@@ -473,16 +465,6 @@ class ConsumerPlugin(
                     f"Unsupported mime type {mime_type}",
                 )
 
-            if self.metadata.remote_ocr and not getattr(
-                parser_class,
-                "uses_remote_service",
-                False,
-            ):
-                self.log.warning(
-                    "Remote OCR was requested for this document but no remote "
-                    "parser is available for it, processing locally instead.",
-                )
-
             # Notify all listeners that we're going to do some work.
 
             document_consumption_started.send(

src/documents/data_models.py

@@ -34,7 +34,6 @@ class DocumentMetadataOverrides:
     skip_asn_if_exists: bool = False
     version_label: str | None = None
     actor_id: int | None = None
-    remote_ocr: bool = False
 
     def update(self, other: "DocumentMetadataOverrides") -> "DocumentMetadataOverrides":
         """
@@ -58,8 +57,6 @@ class DocumentMetadataOverrides:
             self.actor_id = other.actor_id
         if other.skip_asn_if_exists:
             self.skip_asn_if_exists = True
-        if other.remote_ocr:
-            self.remote_ocr = True
         if other.version_label is not None:
             self.version_label = other.version_label
 

src/documents/filters.py

@@ -12,6 +12,7 @@ from typing import TYPE_CHECKING
 from typing import Any
 
 from django.contrib.contenttypes.models import ContentType
+from django.core.exceptions import FieldError
 from django.db.models import Case
 from django.db.models import CharField
 from django.db.models import Count
@@ -50,7 +51,6 @@ from documents.models import ShareLinkBundle
 from documents.models import StoragePath
 from documents.models import Tag
 from documents.permissions import permitted_object_ids
-from documents.versioning import ensure_effective_content
 
 if TYPE_CHECKING:
     from collections.abc import Callable
@@ -180,9 +180,14 @@ class TitleContentFilter(Filter):
             logger.warning(
                 "Deprecated document filter parameter 'title_content' used; use `text` instead.",
             )
-            return ensure_effective_content(qs).filter(
-                Q(title__icontains=value) | Q(effective_content__icontains=value),
-            )
+            try:
+                return qs.filter(
+                    Q(title__icontains=value) | Q(effective_content__icontains=value),
+                )
+            except FieldError:
+                return qs.filter(
+                    Q(title__icontains=value) | Q(content__icontains=value),
+                )
         else:
             return qs
 
@@ -193,9 +198,14 @@ class EffectiveContentFilter(Filter):
         value = value.strip() if isinstance(value, str) else value
         if not value:
             return qs
-        return ensure_effective_content(qs).filter(
-            **{f"effective_content__{self.lookup_expr}": value},
-        )
+        try:
+            return qs.filter(
+                **{f"effective_content__{self.lookup_expr}": value},
+            )
+        except FieldError:
+            return qs.filter(
+                **{f"content__{self.lookup_expr}": value},
+            )
 
 
 @extend_schema_field(serializers.BooleanField)

src/documents/migrations/0024_alter_workflowaction_type.py

@@ -1,30 +0,0 @@
-# Generated by Django 5.2.16 on 2026-08-10 17:27
-
-from django.db import migrations
-from django.db import models
-
-
-class Migration(migrations.Migration):
-    dependencies = [
-        ("documents", "0023_savedview_icon"),
-    ]
-
-    operations = [
-        migrations.AlterField(
-            model_name="workflowaction",
-            name="type",
-            field=models.PositiveSmallIntegerField(
-                choices=[
-                    (1, "Assignment"),
-                    (2, "Removal"),
-                    (3, "Email"),
-                    (4, "Webhook"),
-                    (5, "Password removal"),
-                    (6, "Move to trash"),
-                    (7, "Remote OCR"),
-                ],
-                default=1,
-                verbose_name="Workflow Action Type",
-            ),
-        ),
-    ]

src/documents/migrations/0025_workflowaction_apply_ai_suggestions.py

@@ -1,84 +0,0 @@
-# Generated by Django 5.2.16 on 2026-08-10 18:26
-
-from django.db import migrations
-from django.db import models
-
-
-class Migration(migrations.Migration):
-    dependencies = [
-        ("documents", "0024_alter_workflowaction_type"),
-    ]
-
-    operations = [
-        migrations.AddField(
-            model_name="workflowaction",
-            name="ai_create_missing",
-            field=models.BooleanField(
-                default=False,
-                help_text="Create suggested tags, correspondents, document types and storage paths that do not already exist instead of skipping them.",
-                verbose_name="create missing objects",
-            ),
-        ),
-        migrations.AddField(
-            model_name="workflowaction",
-            name="ai_overwrite_existing",
-            field=models.BooleanField(
-                default=False,
-                help_text="Apply suggestions even if the document already has a value for that field. Tags are always added to, never replaced.",
-                verbose_name="overwrite existing values",
-            ),
-        ),
-        migrations.AddField(
-            model_name="workflowaction",
-            name="ai_suggestion_fields",
-            field=models.JSONField(
-                blank=True,
-                help_text="Which of the AI-suggested fields to apply to the document.",
-                null=True,
-                verbose_name="AI suggestion fields",
-            ),
-        ),
-        migrations.AlterField(
-            model_name="workflowaction",
-            name="type",
-            field=models.PositiveSmallIntegerField(
-                choices=[
-                    (1, "Assignment"),
-                    (2, "Removal"),
-                    (3, "Email"),
-                    (4, "Webhook"),
-                    (5, "Password removal"),
-                    (6, "Move to trash"),
-                    (7, "Remote OCR"),
-                    (8, "Apply AI suggestions"),
-                ],
-                default=1,
-                verbose_name="Workflow Action Type",
-            ),
-        ),
-        migrations.AlterField(
-            model_name="paperlesstask",
-            name="task_type",
-            field=models.CharField(
-                choices=[
-                    ("consume_file", "Consume File"),
-                    ("train_classifier", "Train Classifier"),
-                    ("sanity_check", "Sanity Check"),
-                    ("index_optimize", "Index Optimize"),
-                    ("mail_fetch", "Mail Fetch"),
-                    ("llm_index", "LLM Index"),
-                    ("empty_trash", "Empty Trash"),
-                    ("check_workflows", "Check Workflows"),
-                    ("bulk_update", "Bulk Update"),
-                    ("reprocess_document", "Reprocess Document"),
-                    ("build_share_link", "Build Share Link"),
-                    ("bulk_delete", "Bulk Delete"),
-                    ("apply_ai_suggestions", "Apply AI Suggestions"),
-                ],
-                db_index=True,
-                help_text="The kind of work being performed",
-                max_length=50,
-                verbose_name="Task Type",
-            ),
-        ),
-    ]

src/documents/models.py

@@ -766,7 +766,6 @@ class PaperlessTask(ModelWithOwner):
         REPROCESS_DOCUMENT = "reprocess_document", _("Reprocess Document")
         BUILD_SHARE_LINK = "build_share_link", _("Build Share Link")
         BULK_DELETE = "bulk_delete", _("Bulk Delete")
-        APPLY_AI_SUGGESTIONS = "apply_ai_suggestions", _("Apply AI Suggestions")
 
     COMPLETE_STATUSES = (
         Status.SUCCESS,
@@ -1671,22 +1670,6 @@ class WorkflowAction(models.Model):
             6,
             _("Move to trash"),
         )
-        REMOTE_OCR = (
-            7,
-            _("Remote OCR"),
-        )
-        APPLY_AI_SUGGESTIONS = (
-            8,
-            _("Apply AI suggestions"),
-        )
-
-    class AISuggestionField(models.TextChoices):
-        TITLE = ("title", _("Title"))
-        TAGS = ("tags", _("Tags"))
-        CORRESPONDENT = ("correspondent", _("Correspondent"))
-        DOCUMENT_TYPE = ("document_type", _("Document type"))
-        STORAGE_PATH = ("storage_path", _("Storage path"))
-        CREATED = ("created", _("Created date"))
 
     type = models.PositiveSmallIntegerField(
         _("Workflow Action Type"),
@@ -1925,33 +1908,6 @@ class WorkflowAction(models.Model):
         ),
     )
 
-    ai_suggestion_fields = models.JSONField(
-        _("AI suggestion fields"),
-        null=True,
-        blank=True,
-        help_text=_(
-            "Which of the AI-suggested fields to apply to the document.",
-        ),
-    )
-
-    ai_create_missing = models.BooleanField(
-        _("create missing objects"),
-        default=False,
-        help_text=_(
-            "Create suggested tags, correspondents, document types and storage "
-            "paths that do not already exist instead of skipping them.",
-        ),
-    )
-
-    ai_overwrite_existing = models.BooleanField(
-        _("overwrite existing values"),
-        default=False,
-        help_text=_(
-            "Apply suggestions even if the document already has a value for that "
-            "field. Tags are always added to, never replaced.",
-        ),
-    )
-
     class Meta:
         verbose_name = _("workflow action")
         verbose_name_plural = _("workflow actions")

src/documents/search/_fields.py

@@ -0,0 +1,42 @@
+from __future__ import annotations
+
+from whoosh_compat import FieldKind
+from whoosh_compat import FieldSpec
+from whoosh_compat import SubpathSpec
+
+# Internal-only schema fields with no query-syntax meaning of their own
+# (sort shadow fields, bigram CJK fields, simple_title/simple_content,
+# autocomplete_word, notes_text) are NOT represented here, they are
+# declared in _schema.py's field_descriptors().
+#
+# analyzer/pattern_normalizer are deliberately left at FieldSpec's default
+# (None): they're language-specific and only meaningful to whoosh-compat's
+# parser, so _registry.py attaches them per-language via dataclasses.replace()
+# rather than PUBLIC_FIELDS declaring them itself. _schema.py only reads
+# name/kind/fast and never sees the analyzer at all.
+PUBLIC_FIELDS: tuple[FieldSpec, ...] = (
+    FieldSpec("title", FieldKind.TEXT),
+    FieldSpec("content", FieldKind.TEXT),
+    FieldSpec("correspondent", FieldKind.TEXT),
+    FieldSpec("document_type", FieldKind.TEXT, aliases=("type",)),
+    FieldSpec("storage_path", FieldKind.TEXT, aliases=("path",)),
+    FieldSpec("original_filename", FieldKind.TEXT),
+    FieldSpec("tag", FieldKind.TEXT, comma_values=True),
+    FieldSpec("checksum", FieldKind.KEYWORD),
+    FieldSpec("asn", FieldKind.U64, fast=True),
+    FieldSpec("page_count", FieldKind.U64, fast=True),
+    FieldSpec("num_notes", FieldKind.U64, fast=True),
+    FieldSpec("created", FieldKind.DATE, date_only=True, fast=True),
+    FieldSpec("modified", FieldKind.DATETIME, fast=True),
+    FieldSpec("added", FieldKind.DATETIME, fast=True),
+    FieldSpec(
+        "notes",
+        FieldKind.JSON,
+        subpaths={"user": SubpathSpec(), "note": SubpathSpec(default=True)},
+    ),
+    FieldSpec(
+        "custom_fields",
+        FieldKind.JSON,
+        subpaths={"name": SubpathSpec(), "value": SubpathSpec(default=True)},
+    ),
+)

src/documents/search/_registry.py

@@ -0,0 +1,91 @@
+from __future__ import annotations
+
+import dataclasses
+from typing import TYPE_CHECKING
+
+from whoosh_compat import FieldKind
+from whoosh_compat import FieldRegistry
+
+from documents.search._fields import PUBLIC_FIELDS
+from documents.search._tokenizer import ascii_fold
+from documents.search._tokenizer import paperless_text_analyzer
+from documents.search._tokenizer import stem_pattern_text
+
+if TYPE_CHECKING:
+    from whoosh_compat import PatternNormalizer
+
+_registry_cache: dict[str | None, FieldRegistry] = {}
+
+
+def _identity_analyzer(text: str) -> list[str]:
+    """Analyzer for KEYWORD fields indexed with the raw tokenizer (no splitting)."""
+    return [text]
+
+
+def _fold_normalizer(text: str) -> str:
+    """Wildcard/regex literal-run normalizer for fields indexed without stemming."""
+    return ascii_fold(text.lower())
+
+
+def _make_pattern_normalizer(language: str | None) -> PatternNormalizer:
+    """Build the wildcard/regex literal-run normalizer for a search language."""
+
+    def _pattern_normalizer(text: str) -> tuple[str, ...]:
+        """Normalize a literal run into the forms a term may match.
+
+        TEXT index terms go through lowercase -> ascii_fold -> stem, so a
+        pattern that skips stemming can never match one: "invoice*" would look
+        for a term starting with "invoice" while the index holds "invoic". The
+        run is therefore offered stemmed as well. KEYWORD fields are indexed
+        raw and get _fold_normalizer instead, so their patterns stay literal.
+
+        Both forms are returned, as alternatives, because neither is a prefix
+        of the other in general: English stemming substitutes as well as
+        truncates ("copy" -> "copi"), so the stem alone loses the compounds
+        the typed run reaches ("copyright") while the typed run alone loses
+        the inflections the stem reaches ("copies"). whoosh-compat ORs the
+        alternatives per literal run and deduplicates them, so a run the
+        stemmer leaves alone costs exactly the one branch it did before.
+
+        Inside a bracket class the emitter calls this once per character and
+        uses the answer only if it is a single one-character form; two forms
+        there leave the character as typed. A stemmer does not change a lone
+        character, so the two forms deduplicate to one and the class body is
+        folded as before.
+        """
+        folded = ascii_fold(text.lower())
+        stemmed = stem_pattern_text(folded, language)
+        return (folded, stemmed)
+
+    return _pattern_normalizer
+
+
+def get_field_registry(language: str | None) -> FieldRegistry:
+    """Build (or return the cached) FieldRegistry for the given search language.
+
+    Cached keyed by language, rebuilt on the same trigger register_tokenizers()
+    uses (settings.SEARCH_LANGUAGE change). A fresh call with a new language
+    builds and caches a new registry rather than mutating the old one.
+    """
+    if language in _registry_cache:
+        return _registry_cache[language]
+
+    text_analyzer = paperless_text_analyzer(language).analyze
+    pattern_normalizer = _make_pattern_normalizer(language)
+
+    specs = [
+        dataclasses.replace(
+            field,
+            analyzer=_identity_analyzer
+            if field.kind is FieldKind.KEYWORD
+            else text_analyzer,
+            pattern_normalizer=_fold_normalizer
+            if field.kind is FieldKind.KEYWORD
+            else pattern_normalizer,
+        )
+        for field in PUBLIC_FIELDS
+    ]
+
+    registry = FieldRegistry(specs)
+    _registry_cache[language] = registry
+    return registry

src/documents/search/_schema.py

@@ -1,14 +1,19 @@
 from __future__ import annotations
 
+import hashlib
 import json
 import logging
 import shutil
 from typing import TYPE_CHECKING
 from typing import Final
+from typing import NamedTuple
 from typing import cast
 
 import tantivy
 from django.conf import settings
+from whoosh_compat import FieldKind
+
+from documents.search._fields import PUBLIC_FIELDS
 
 if TYPE_CHECKING:
     from pathlib import Path
@@ -16,7 +21,185 @@ if TYPE_CHECKING:
 logger = logging.getLogger("paperless.search")
 
 # v1 - Initial tantivy schema format
-SCHEMA_VERSION: Final[int] = 1
+# v2 - build_schema() derived from PUBLIC_FIELDS, changing the field declaration
+#      order, and the write-only correspondent/document_type/storage_path/tag id
+#      columns dropped. tantivy compares schemas by ordered field list, so an
+#      index built by v1 rejects every write against the v2 schema.
+SCHEMA_VERSION: Final[int] = 2
+
+
+class FieldDescriptor(NamedTuple):
+    """One tantivy field, in declaration order.
+
+    The descriptor vocabulary is paperless', not tantivy-py's: it is both the
+    input to the SchemaBuilder and the input to schema_fingerprint(), so the
+    persisted fingerprint cannot move under a tantivy-py upgrade.
+    """
+
+    name: str
+    kind: str
+    stored: bool
+    indexed: bool
+    fast: bool
+    tokenizer: str | None
+
+
+# (schema kind, tokenizer) for the FieldKind -> FieldDescriptor mapping that
+# doesn't need special-casing. JSON is handled separately below since it can
+# emit a second, synthetic descriptor.
+_KIND_TABLE: Final[dict[FieldKind, tuple[str, str | None]]] = {
+    FieldKind.TEXT: ("text", "paperless_text"),
+    FieldKind.KEYWORD: ("text", "raw"),
+    FieldKind.U64: ("u64", None),
+    FieldKind.DATE: ("date", None),
+    FieldKind.DATETIME: ("date", None),
+}
+# Kinds whose fast-field flag follows FieldSpec.fast rather than always False.
+_FAST_FROM_FIELD: Final[frozenset[FieldKind]] = frozenset(
+    {FieldKind.U64, FieldKind.DATE, FieldKind.DATETIME},
+)
+
+
+def _public_field_descriptors() -> list[FieldDescriptor]:
+    """Descriptors for the query-visible fields declared in PUBLIC_FIELDS."""
+    descriptors: list[FieldDescriptor] = []
+    for field in PUBLIC_FIELDS:
+        if field.kind is FieldKind.JSON:
+            descriptors.append(
+                FieldDescriptor(
+                    field.name,
+                    "json",
+                    stored=True,
+                    indexed=True,
+                    fast=False,
+                    tokenizer="paperless_text",
+                ),
+            )
+            if field.name == "notes":
+                # Plain-text companion for snippet generation: tantivy's
+                # SnippetGenerator does not support JSON fields. Schema-only,
+                # no query-syntax meaning, not in PUBLIC_FIELDS.
+                descriptors.append(
+                    FieldDescriptor(
+                        "notes_text",
+                        "text",
+                        stored=True,
+                        indexed=True,
+                        fast=False,
+                        tokenizer="paperless_text",
+                    ),
+                )
+            continue
+        schema_kind, tokenizer = _KIND_TABLE[field.kind]
+        descriptors.append(
+            FieldDescriptor(
+                field.name,
+                schema_kind,
+                stored=True,
+                indexed=True,
+                fast=field.fast if field.kind in _FAST_FROM_FIELD else False,
+                tokenizer=tokenizer,
+            ),
+        )
+    return descriptors
+
+
+def field_descriptors() -> list[FieldDescriptor]:
+    """Every field of the document index, in the order tantivy declares them.
+
+    tantivy compares schemas by *ordered* field list, so the order here is
+    part of the on-disk contract: schema_fingerprint() hashes it and
+    needs_rebuild() acts on the result.
+    """
+    return [
+        FieldDescriptor(
+            "id",
+            "u64",
+            stored=True,
+            indexed=True,
+            fast=True,
+            tokenizer=None,
+        ),
+        *_public_field_descriptors(),
+        # Shadow sort fields - fast, not stored
+        *(
+            FieldDescriptor(
+                name,
+                "text",
+                stored=False,
+                indexed=True,
+                fast=True,
+                tokenizer="simple_analyzer",
+            )
+            for name in ("title_sort", "correspondent_sort", "type_sort")
+        ),
+        # CJK support - not stored, indexed only
+        *(
+            FieldDescriptor(
+                name,
+                "text",
+                stored=False,
+                indexed=True,
+                fast=False,
+                tokenizer="bigram_analyzer",
+            )
+            for name in (
+                "bigram_content",
+                "bigram_title",
+                "bigram_correspondent",
+                "bigram_document_type",
+                "bigram_tag",
+            )
+        ),
+        # Simple substring search support for title/content - not stored,
+        # indexed only
+        *(
+            FieldDescriptor(
+                name,
+                "text",
+                stored=False,
+                indexed=True,
+                fast=False,
+                tokenizer="simple_search_analyzer",
+            )
+            for name in ("simple_title", "simple_content")
+        ),
+        # Autocomplete prefix scan via terms_with_prefix, which walks the
+        # field's term dictionary - so the field must be indexed (term dict),
+        # not stored. The stored value is never read back, so storing it only
+        # wastes space.
+        FieldDescriptor(
+            "autocomplete_word",
+            "text",
+            stored=False,
+            indexed=True,
+            fast=False,
+            tokenizer="raw",
+        ),
+        # Permission filter columns, read by build_permission_filter.
+        *(
+            FieldDescriptor(
+                name,
+                "u64",
+                stored=False,
+                indexed=True,
+                fast=True,
+                tokenizer=None,
+            )
+            for name in ("owner_id", "viewer_id", "viewer_group_id")
+        ),
+    ]
+
+
+def schema_fingerprint() -> str:
+    """Hash of the field descriptors, stamped into .index_settings.json.
+
+    Changes whenever a field is added, removed, retyped, re-optioned or
+    reordered, so an index built from a different schema shape is detected
+    even when SCHEMA_VERSION was not bumped.
+    """
+    payload = json.dumps([list(descriptor) for descriptor in field_descriptors()])
+    return hashlib.blake2b(payload.encode()).hexdigest()
 
 
 def build_schema() -> tantivy.Schema:
@@ -32,85 +215,37 @@ def build_schema() -> tantivy.Schema:
     """
     sb = tantivy.SchemaBuilder()
 
-    sb.add_unsigned_field("id", stored=True, indexed=True, fast=True)
-    sb.add_text_field("checksum", stored=True, tokenizer_name="raw")
-
-    for field in (
-        "title",
-        "correspondent",
-        "document_type",
-        "storage_path",
-        "original_filename",
-        "content",
-    ):
-        sb.add_text_field(field, stored=True, tokenizer_name="paperless_text")
-
-    # Shadow sort fields - fast, not stored/indexed
-    for field in ("title_sort", "correspondent_sort", "type_sort"):
-        sb.add_text_field(
-            field,
-            stored=False,
-            tokenizer_name="simple_analyzer",
-            fast=True,
-        )
-
-    # CJK support - not stored, indexed only
-    sb.add_text_field("bigram_content", stored=False, tokenizer_name="bigram_analyzer")
-    sb.add_text_field("bigram_title", stored=False, tokenizer_name="bigram_analyzer")
-    sb.add_text_field(
-        "bigram_correspondent",
-        stored=False,
-        tokenizer_name="bigram_analyzer",
-    )
-    sb.add_text_field(
-        "bigram_document_type",
-        stored=False,
-        tokenizer_name="bigram_analyzer",
-    )
-    sb.add_text_field("bigram_tag", stored=False, tokenizer_name="bigram_analyzer")
-
-    # Simple substring search support for title/content - not stored, indexed only
-    sb.add_text_field(
-        "simple_title",
-        stored=False,
-        tokenizer_name="simple_search_analyzer",
-    )
-    sb.add_text_field(
-        "simple_content",
-        stored=False,
-        tokenizer_name="simple_search_analyzer",
-    )
-
-    # Autocomplete prefix scan via terms_with_prefix, which walks the field's
-    # term dictionary - so the field must be indexed (term dict), not stored.
-    # The stored value is never read back, so storing it only wastes space.
-    sb.add_text_field("autocomplete_word", stored=False, tokenizer_name="raw")
-
-    sb.add_text_field("tag", stored=True, tokenizer_name="paperless_text")
-
-    # JSON fields — structured queries: notes.user:alice, custom_fields.name:invoice
-    sb.add_json_field("notes", stored=True, tokenizer_name="paperless_text")
-    # Plain-text companion for notes — tantivy's SnippetGenerator does not support
-    # JSON fields, so highlights require a text field with the same content.
-    sb.add_text_field("notes_text", stored=True, tokenizer_name="paperless_text")
-    sb.add_json_field("custom_fields", stored=True, tokenizer_name="paperless_text")
-
-    for field in (
-        "correspondent_id",
-        "document_type_id",
-        "storage_path_id",
-        "tag_id",
-        "owner_id",
-        "viewer_id",
-        "viewer_group_id",
-    ):
-        sb.add_unsigned_field(field, stored=False, indexed=True, fast=True)
-
-    for field in ("created", "modified", "added"):
-        sb.add_date_field(field, stored=True, indexed=True, fast=True)
-
-    for field in ("asn", "page_count", "num_notes"):
-        sb.add_unsigned_field(field, stored=True, indexed=True, fast=True)
+    for descriptor in field_descriptors():
+        if descriptor.kind == "text":
+            sb.add_text_field(
+                descriptor.name,
+                stored=descriptor.stored,
+                fast=descriptor.fast,
+                tokenizer_name=cast("str", descriptor.tokenizer),
+            )
+        elif descriptor.kind == "json":
+            sb.add_json_field(
+                descriptor.name,
+                stored=descriptor.stored,
+                fast=descriptor.fast,
+                tokenizer_name=cast("str", descriptor.tokenizer),
+            )
+        elif descriptor.kind == "u64":
+            sb.add_unsigned_field(
+                descriptor.name,
+                stored=descriptor.stored,
+                indexed=descriptor.indexed,
+                fast=descriptor.fast,
+            )
+        elif descriptor.kind == "date":
+            sb.add_date_field(
+                descriptor.name,
+                stored=descriptor.stored,
+                indexed=descriptor.indexed,
+                fast=descriptor.fast,
+            )
+        else:
+            raise ValueError(f"Unknown schema field kind: {descriptor.kind}")
 
     return sb.build()
 
@@ -119,9 +254,9 @@ def needs_rebuild(index_dir: Path) -> bool:
     """
     Check if the search index needs rebuilding.
 
-    Reads .index_settings.json to compare the stored schema version and
-    search language against the current configuration. Returns True if the
-    file is missing, unparsable, or either value mismatches.
+    Reads .index_settings.json to compare the stored schema version, search
+    language and schema fingerprint against the current configuration. Returns
+    True if the file is missing, unparsable, or any value mismatches.
 
     Args:
         index_dir: Path to the search index directory
@@ -140,6 +275,9 @@ def needs_rebuild(index_dir: Path) -> bool:
         if "language" not in data or data["language"] != settings.SEARCH_LANGUAGE:
             logger.info("Search index language changed - rebuilding.")
             return True
+        if data.get("schema_fingerprint") != schema_fingerprint():
+            logger.info("Search index schema fingerprint mismatch - rebuilding.")
+            return True
     except ValueError:
         return True
     return False
@@ -170,6 +308,7 @@ def _write_sentinels(index_dir: Path) -> None:
             {
                 "schema_version": SCHEMA_VERSION,
                 "language": settings.SEARCH_LANGUAGE,
+                "schema_fingerprint": schema_fingerprint(),
             },
         ),
     )

src/documents/search/_tokenizer.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import logging
+from functools import cache
 from typing import Final
 
 import tantivy
@@ -71,7 +72,7 @@ def register_tokenizers(index: tantivy.Index, language: str | None) -> None:
         use fast=True and Tantivy requires fast-field tokenizers to exist
         even for documents that omit those fields.
     """
-    index.register_tokenizer("paperless_text", _paperless_text(language))
+    index.register_tokenizer("paperless_text", paperless_text_analyzer(language))
     index.register_tokenizer("simple_analyzer", _simple_analyzer())
     index.register_tokenizer("bigram_analyzer", _bigram_analyzer())
     index.register_tokenizer("simple_search_analyzer", _simple_search_analyzer())
@@ -79,7 +80,7 @@ def register_tokenizers(index: tantivy.Index, language: str | None) -> None:
     index.register_fast_field_tokenizer("simple_analyzer", _simple_analyzer())
 
 
-def _paperless_text(language: str | None) -> tantivy.TextAnalyzer:
+def paperless_text_analyzer(language: str | None) -> tantivy.TextAnalyzer:
     """Main full-text tokenizer for content, title, etc: simple -> remove_long(129) -> lowercase -> ascii_fold [-> stemmer]"""
     builder = (
         tantivy.TextAnalyzerBuilder(tantivy.Tokenizer.simple())
@@ -100,6 +101,54 @@ def _paperless_text(language: str | None) -> tantivy.TextAnalyzer:
     return builder.build()
 
 
+@cache
+def _pattern_stemmer(language: str | None) -> tantivy.TextAnalyzer | None:
+    """The stemming tail of paperless_text_analyzer, over a whole literal run.
+
+    Same language gate and same Snowball stemmer paperless_text_analyzer
+    applies at index time, so query patterns follow SEARCH_LANGUAGE. Returns
+    None when that gate disables stemming; paperless_text_analyzer already
+    warns about an unsupported language, so this stays quiet.
+
+    The raw tokenizer keeps the run whole (a wildcard literal is a fragment,
+    not necessarily a word), and remove_long is kept so an over-long run is
+    treated the same way the index treats it.
+    """
+    if not language:
+        return None
+    tantivy_lang = _LANGUAGE_MAP.get(language.lower())
+    if tantivy_lang is None:
+        return None
+    return (
+        tantivy.TextAnalyzerBuilder(tantivy.Tokenizer.raw())
+        .filter(tantivy.Filter.remove_long(_TOKEN_REMOVE_LONG_LIMIT))
+        .filter(tantivy.Filter.stemmer(tantivy_lang))
+        .build()
+    )
+
+
+def stem_pattern_text(text: str, language: str | None) -> str:
+    """Stem an already lowercased/ascii-folded run the way index terms are.
+
+    Returns text unchanged when stemming is disabled for language, and also
+    when the stem step does not yield exactly one token: remove_long drops a run
+    past the length limit, leaving no stem to substitute. Falling back to the
+    text as typed is the safe direction for a pattern prefix, since it can only
+    be as narrow as it was before stemming was considered.
+
+    The raw tokenizer emits one token whatever the input and the stemmer is
+    1-to-1, so only the zero-token case can fire today; the guard covers both
+    counts so a tokenizer change cannot turn this into an IndexError.
+    """
+    analyzer = _pattern_stemmer(language)
+    if analyzer is None:
+        return text
+    tokens = analyzer.analyze(text)
+    if len(tokens) != 1:
+        return text
+    return tokens[0]
+
+
 def _simple_analyzer() -> tantivy.TextAnalyzer:
     """Tokenizer for shadow sort fields (title_sort, correspondent_sort, type_sort): simple -> lowercase -> ascii_fold."""
     return (

src/documents/serialisers.py

@@ -1795,7 +1795,7 @@ class DeleteDocumentsSerializer(DocumentSelectionSerializer):
 
 
 class ReprocessDocumentsSerializer(DocumentSelectionSerializer):
-    remote_ocr = serializers.BooleanField(required=False, default=False)
+    pass
 
 
 class BulkEditSerializer(
@@ -2137,13 +2137,6 @@ class BulkEditSerializer(
                         f"Page {op['page']} is out of bounds for document with {doc.page_count} pages.",
                     )
 
-    def _validate_parameters_reprocess(self, parameters) -> None:
-        if "remote_ocr" in parameters:
-            if not isinstance(parameters["remote_ocr"], bool):
-                raise serializers.ValidationError("remote_ocr must be a boolean")
-        else:
-            parameters["remote_ocr"] = False
-
     def validate_parameters_remove_password(self, parameters):
         if "password" not in parameters:
             raise serializers.ValidationError("password not specified")
@@ -2208,8 +2201,6 @@ class BulkEditSerializer(
             self._validate_parameters_edit_pdf(parameters, attrs["documents"][0])
         elif method == bulk_edit.remove_password:
             self.validate_parameters_remove_password(parameters)
-        elif method == bulk_edit.reprocess:
-            self._validate_parameters_reprocess(parameters)
 
         return attrs
 
@@ -3235,9 +3226,6 @@ class WorkflowActionSerializer(serializers.ModelSerializer[WorkflowAction]):
             "email",
             "webhook",
             "passwords",
-            "ai_suggestion_fields",
-            "ai_create_missing",
-            "ai_overwrite_existing",
         ]
 
     def validate(self, attrs):
@@ -3295,23 +3283,6 @@ class WorkflowActionSerializer(serializers.ModelSerializer[WorkflowAction]):
                     "Passwords are required for password removal actions",
                 )
 
-        if (
-            "type" in attrs
-            and attrs["type"] == WorkflowAction.WorkflowActionType.APPLY_AI_SUGGESTIONS
-        ):
-            fields = attrs.get("ai_suggestion_fields")
-            valid_fields = set(WorkflowAction.AISuggestionField.values)
-            if (
-                fields is None
-                or not isinstance(fields, list)
-                or len(fields) == 0
-                or any(field not in valid_fields for field in fields)
-            ):
-                raise serializers.ValidationError(
-                    "At least one valid field is required for apply AI "
-                    f"suggestions actions, options are: {sorted(valid_fields)}",
-                )
-
         return attrs
 
 
@@ -3332,68 +3303,6 @@ class WorkflowSerializer(serializers.ModelSerializer[Workflow]):
             "actions",
         ]
 
-    def validate(self, attrs):
-        attrs = super().validate(attrs)
-
-        if "actions" in attrs:
-            has_remote_ocr_action = any(
-                action.get("type") == WorkflowAction.WorkflowActionType.REMOTE_OCR
-                for action in attrs["actions"]
-            )
-            has_ai_suggestions_action = any(
-                action.get("type")
-                == WorkflowAction.WorkflowActionType.APPLY_AI_SUGGESTIONS
-                for action in attrs["actions"]
-            )
-        else:
-            has_remote_ocr_action = self.instance is not None and (
-                self.instance.actions.filter(
-                    type=WorkflowAction.WorkflowActionType.REMOTE_OCR,
-                ).exists()
-            )
-            has_ai_suggestions_action = self.instance is not None and (
-                self.instance.actions.filter(
-                    type=WorkflowAction.WorkflowActionType.APPLY_AI_SUGGESTIONS,
-                ).exists()
-            )
-
-        if "triggers" in attrs:
-            has_consumption_trigger = any(
-                trigger.get("type") == WorkflowTrigger.WorkflowTriggerType.CONSUMPTION
-                for trigger in attrs["triggers"]
-            )
-            has_non_consumption_trigger = any(
-                trigger.get("type") != WorkflowTrigger.WorkflowTriggerType.CONSUMPTION
-                for trigger in attrs["triggers"]
-            )
-        else:
-            has_consumption_trigger = self.instance is not None and (
-                self.instance.triggers.filter(
-                    type=WorkflowTrigger.WorkflowTriggerType.CONSUMPTION,
-                ).exists()
-            )
-            has_non_consumption_trigger = self.instance is not None and (
-                self.instance.triggers.exclude(
-                    type=WorkflowTrigger.WorkflowTriggerType.CONSUMPTION,
-                ).exists()
-            )
-
-        # Remote OCR can only work with consumption triggers
-        if has_remote_ocr_action and not has_consumption_trigger:
-            raise serializers.ValidationError(
-                "Remote OCR actions require a consumption started trigger",
-            )
-
-        # Suggestions are made from the document content, which does not exist
-        # until after consumption has finished
-        if has_ai_suggestions_action and not has_non_consumption_trigger:
-            raise serializers.ValidationError(
-                "Apply AI suggestions actions require a trigger other than "
-                "consumption started",
-            )
-
-        return attrs
-
     def update_triggers_and_actions(
         self,
         instance: Workflow,

src/documents/signals/handlers.py

@@ -973,39 +973,6 @@ def run_workflows(
                     )
                 elif action.type == WorkflowAction.WorkflowActionType.MOVE_TO_TRASH:
                     has_move_to_trash_action = True
-                elif action.type == WorkflowAction.WorkflowActionType.REMOTE_OCR:
-                    if use_overrides and overrides:
-                        overrides.remote_ocr = True
-                    else:
-                        # If a workflow has a consumption trigger *and* another type,
-                        # the document has already been parsed by the time the other one fires
-                        logger.debug(
-                            "Remote OCR action only applies to consumption "
-                            "triggers, ignoring",
-                            extra={"group": logging_group},
-                        )
-                elif (
-                    action.type
-                    == WorkflowAction.WorkflowActionType.APPLY_AI_SUGGESTIONS
-                ):
-                    if use_overrides:
-                        # The document has not been parsed yet, so there is no
-                        # content for the LLM to make suggestions from
-                        logger.debug(
-                            "Apply AI suggestions action does not apply to "
-                            "consumption triggers, ignoring",
-                            extra={"group": logging_group},
-                        )
-                    else:
-                        # Queued rather than run sync
-                        from documents.tasks import apply_ai_suggestions
-
-                        # kwargs so the PaperlessTask record can note the
-                        # document, see _extract_input_data
-                        apply_ai_suggestions.delay(
-                            action_id=action.pk,
-                            document_id=document.pk,
-                        )
 
             if not use_overrides:
                 # limit title to 128 characters
@@ -1061,7 +1028,6 @@ TRACKED_TASKS: dict[str, PaperlessTask.TaskType] = {
     "documents.tasks.update_document_content_maybe_archive_file": PaperlessTask.TaskType.REPROCESS_DOCUMENT,
     "documents.tasks.build_share_link_bundle": PaperlessTask.TaskType.BUILD_SHARE_LINK,
     "documents.bulk_edit.delete": PaperlessTask.TaskType.BULK_DELETE,
-    "documents.tasks.apply_ai_suggestions": PaperlessTask.TaskType.APPLY_AI_SUGGESTIONS,
 }
 
 _CELERY_STATE_TO_STATUS: dict[str, PaperlessTask.Status] = {
@@ -1115,12 +1081,6 @@ def _extract_input_data(
             return {"account_ids": account_ids}
         return {}
 
-    if task_type == PaperlessTask.TaskType.APPLY_AI_SUGGESTIONS:
-        document_id = task_kwargs.get("document_id")
-        if document_id is not None:
-            return {"document_id": document_id}
-        return {}
-
     return {}
 
 

src/documents/tasks.py

@@ -67,11 +67,9 @@ from documents.utils import identity
 from documents.versioning import annotate_effective_content
 from documents.workflows.utils import get_workflows_for_trigger
 from paperless.config import AIConfig
-from paperless.config import RemoteOCRConfig
 from paperless.logging import consume_task_id
 from paperless.parsers import ParserContext
 from paperless.parsers.registry import get_parser_registry
-from paperless_ai.exceptions import LLMTimeoutError
 from paperless_ai.indexing import llm_index_add_or_update_document
 from paperless_ai.indexing import llm_index_remove_document
 from paperless_ai.indexing import update_llm_index
@@ -340,17 +338,10 @@ def bulk_update_documents(document_ids) -> None:
 
 
 @shared_task
-def update_document_content_maybe_archive_file(
-    document_id,
-    *,
-    remote_ocr: bool = False,
-) -> None:
+def update_document_content_maybe_archive_file(document_id) -> None:
     """
     Re-creates OCR content and thumbnail for a document, and archive file if
     it exists.
-
-    Remote OCR is used only when the engine is configured to handle everything
-    or if explicitly asked for via ``remote_ocr``.
     """
     document = Document.objects.get(id=document_id)
 
@@ -360,7 +351,6 @@ def update_document_content_maybe_archive_file(
         mime_type,
         document.original_filename or "",
         document.source_path,
-        allow_remote=remote_ocr or RemoteOCRConfig().remote_ocr_by_default,
     )
 
     if not parser_class:
@@ -715,45 +705,6 @@ def llmindex_index(
     )
 
 
-@shared_task(
-    bind=True,
-    autoretry_for=(LLMTimeoutError,),
-    max_retries=3,
-    retry_backoff=60,
-    retry_backoff_max=600,
-    retry_jitter=True,
-)
-def apply_ai_suggestions(self, action_id: int, document_id: int) -> None:
-    """
-    Deferred "apply AI suggestions" workflow action.
-    """
-    from documents.models import WorkflowAction
-    from documents.workflows.ai import apply_ai_suggestions_to_document
-
-    try:
-        action = WorkflowAction.objects.get(pk=action_id)
-        document = Document.objects.select_related("owner").get(pk=document_id)
-    except (WorkflowAction.DoesNotExist, Document.DoesNotExist):
-        logger.warning(
-            "Workflow action %s or document %s no longer exists, "
-            "not applying AI suggestions",
-            action_id,
-            document_id,
-        )
-        return
-
-    if not apply_ai_suggestions_to_document(action, document):
-        return
-
-    # No document_updated signal to avoid loop
-    clear_document_caches(document.pk)
-    index_document.delay(document.pk)
-
-    ai_config = AIConfig()
-    if ai_config.llm_index_enabled:
-        update_document_in_llm_index.apply_async(kwargs={"document": document})
-
-
 @shared_task
 def update_document_in_llm_index(document) -> None:
     llm_index_add_or_update_document(document)

src/documents/tests/search/test_fields.py

@@ -0,0 +1,10 @@
+from whoosh_compat import FieldKind
+
+from documents.search._fields import PUBLIC_FIELDS
+
+
+class TestPublicFields:
+    def test_json_fields_have_subpaths(self) -> None:
+        for field in PUBLIC_FIELDS:
+            if field.kind is FieldKind.JSON:
+                assert field.subpaths, f"{field.name} is JSON but has no subpaths"

src/documents/tests/search/test_json_subpath_completeness.py

@@ -0,0 +1,83 @@
+"""Every declared JSON subpath must actually be written to the index.
+
+PUBLIC_FIELDS declares each JSON field's subpaths (e.g. ``notes`` ->
+{"user", "note"}), but nothing coupled that declaration to what
+``_backend.py``'s document builder actually writes into the JSON blob at
+index time. A subpath declared but never written would be
+queryable-but-always-empty -- syntactically valid, silently matching
+nothing -- with no test failure anywhere.
+
+This indexes one real document carrying values for every JSON field
+(a Note, a CustomFieldInstance) and inspects the document's own stored
+JSON payload, rather than running field-specific queries: that way a
+future JSON field's subpaths are covered automatically, without a new
+per-subpath query having to be added by hand each time.
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import pytest
+import tantivy
+from django.contrib.auth.models import User
+from whoosh_compat import FieldKind
+
+from documents.models import CustomField
+from documents.models import CustomFieldInstance
+from documents.models import Document
+from documents.models import Note
+from documents.search._fields import PUBLIC_FIELDS
+
+if TYPE_CHECKING:
+    from documents.search._backend import TantivyBackend
+
+pytestmark = [pytest.mark.search, pytest.mark.django_db]
+
+
+class TestJsonSubpathsAreWrittenAtIndexTime:
+    def test_every_declared_json_subpath_appears_in_the_stored_document(
+        self,
+        backend: TantivyBackend,
+    ) -> None:
+        user = User.objects.create_user(username="completeness-user")
+        field = CustomField.objects.create(
+            name="Completeness Field",
+            data_type=CustomField.FieldDataType.STRING,
+        )
+        doc = Document.objects.create(
+            title="Completeness doc",
+            content="x",
+            checksum="json-subpath-completeness",
+        )
+        Note.objects.create(document=doc, user=user, note="a note")
+        CustomFieldInstance.objects.create(
+            document=doc,
+            field=field,
+            value_text="a value",
+        )
+        backend.add_or_update(doc)
+
+        index = backend._index
+        searcher = index.searcher()
+        hits = searcher.search(
+            tantivy.Query.term_query(index.schema, "id", doc.pk),
+            limit=1,
+        ).hits
+        assert hits, "the document was not indexed"
+        stored = searcher.doc(hits[0][1]).to_dict()
+
+        json_fields = [f for f in PUBLIC_FIELDS if f.kind is FieldKind.JSON]
+        assert json_fields, "no JSON fields declared - fixture is stale"
+        for field_spec in json_fields:
+            stored_values = stored.get(field_spec.name)
+            assert stored_values, (
+                f"{field_spec.name} was not written to the index at all"
+            )
+            written_keys = stored_values[0].keys()
+            for subpath in field_spec.subpaths:
+                assert subpath in written_keys, (
+                    f"{field_spec.name}.{subpath} is declared in PUBLIC_FIELDS "
+                    "but _backend.py's document builder never writes it - it "
+                    "would be queryable but always empty"
+                )

src/documents/tests/search/test_keyword_pattern_literal.py

@@ -0,0 +1,60 @@
+"""Wildcard patterns on KEYWORD fields must stay literal.
+
+``checksum`` is the only KEYWORD field: it is indexed with the raw tokenizer,
+so its terms are never lowercased, folded or stemmed. Running its wildcard
+patterns through the stemming normalizer rewrote hex prefixes ("ceded" ->
+"cede") and returned documents whose checksum did not start with what the user
+typed, which for an identity field is a wrong answer.
+
+This covers only the registry-level normalizer, which is all that exists to
+prove at this point in the stack: user queries are not yet routed through
+whoosh-compat (that lands with the query-layer PR), so the same fact proven
+end to end against real indexed documents lives in
+``test_checksum_prefix_queries.py``.
+"""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import pytest
+
+from documents.search._registry import get_field_registry
+
+if TYPE_CHECKING:
+    from whoosh_compat import FieldRegistry
+    from whoosh_compat import PatternNormalizer
+
+pytestmark = [pytest.mark.search, pytest.mark.django_db]
+
+
+def _normalizer(registry: FieldRegistry, name: str) -> PatternNormalizer:
+    ref = registry.make_ref(name)
+    assert ref is not None
+    resolved = registry.resolve(ref)
+    assert resolved is not None
+    assert resolved.spec.pattern_normalizer is not None
+    return resolved.spec.pattern_normalizer
+
+
+class TestKeywordPatternNormalizer:
+    @pytest.mark.parametrize(
+        "run",
+        [
+            pytest.param("ceded", id="stems_to_cede"),
+            pytest.param("added", id="stems_to_ad"),
+            pytest.param("cafed", id="stems_to_cafe"),
+        ],
+    )
+    def test_keyword_runs_are_folded_not_stemmed(self, run: str) -> None:
+        """One form, the run as typed: a KEYWORD pattern must never be widened
+        to a stem, which would return checksums that do not start with what
+        the user typed."""
+        normalize = _normalizer(get_field_registry("en"), "checksum")
+        assert normalize(run) == run
+
+    def test_text_runs_still_offer_their_stem(self) -> None:
+        """A TEXT field offers the stem alongside the typed run, so a term
+        matching either one is reachable."""
+        normalize = _normalizer(get_field_registry("en"), "title")
+        assert tuple(normalize("Running")) == ("running", "run")

src/documents/tests/search/test_registry.py

@@ -0,0 +1,149 @@
+from collections.abc import Sequence
+
+import pytest
+from whoosh_compat import FieldKind
+from whoosh_compat import FieldRegistry
+from whoosh_compat.fields import ResolvedField
+
+from documents.search._fields import PUBLIC_FIELDS
+from documents.search._registry import get_field_registry
+
+
+@pytest.fixture
+def registry() -> FieldRegistry:
+    return get_field_registry(None)
+
+
+def _resolve(registry: FieldRegistry, name: str) -> ResolvedField:
+    ref = registry.make_ref(name)
+    assert ref is not None, f"{name} is not a valid field ref"
+    resolved = registry.resolve(ref)
+    assert resolved is not None, f"{name} did not resolve"
+    return resolved
+
+
+def _distinct_forms(result: str | Sequence[str]) -> tuple[str, ...]:
+    """The forms a term may match, in order, the way whoosh-compat's emitter
+    reads a pattern_normalizer's answer: a bare str is one form, a sequence is
+    several, deduplicated."""
+    if isinstance(result, str):
+        return (result,)
+    return tuple(dict.fromkeys(result))
+
+
+class TestFieldRegistry:
+    def test_internal_id_fields_are_not_registered(
+        self,
+        registry: FieldRegistry,
+    ) -> None:
+        for name in (
+            "tag_id",
+            "owner_id",
+            "viewer_id",
+            "correspondent_id",
+            "document_type_id",
+            "storage_path_id",
+            "viewer_group_id",
+        ):
+            assert name not in registry
+
+    def test_no_queryable_field_name_ends_in_id(self) -> None:
+        # The list above names the seven that were dropped; this catches the
+        # eighth. Internal *_id columns are written for permission filtering
+        # and joins, and whoosh only exposed them as query fields by accident,
+        # so a new one reaching the query surface is a leak rather than a
+        # feature. Checked against PUBLIC_FIELDS rather than the registry so
+        # an internal field is caught where it is declared.
+        leaked = [f.name for f in PUBLIC_FIELDS if f.name.endswith("_id")]
+        assert not leaked, f"internal id fields reached the query surface: {leaked}"
+
+    def test_type_alias_resolves_to_document_type(
+        self,
+        registry: FieldRegistry,
+    ) -> None:
+        assert _resolve(registry, "type").spec.name == "document_type"
+
+    def test_path_alias_resolves_to_storage_path(self, registry: FieldRegistry) -> None:
+        assert _resolve(registry, "path").spec.name == "storage_path"
+
+    def test_notes_json_subpaths_resolve(self, registry: FieldRegistry) -> None:
+        resolved = _resolve(registry, "notes.user")
+        assert resolved.spec.name == "notes"
+        assert resolved.json_path == "user"
+        assert resolved.is_subpath is True
+
+    def test_custom_fields_json_subpaths_resolve(self, registry: FieldRegistry) -> None:
+        for raw in ("custom_fields.name", "custom_fields.value"):
+            _resolve(registry, raw)
+
+    def test_unregistered_json_subpath_does_not_resolve(
+        self,
+        registry: FieldRegistry,
+    ) -> None:
+        # An unregistered subpath is not even a valid FieldRef: make_ref
+        # returns None for a dotted name whose subpath isn't registered
+        # (it doesn't produce a ref for resolve() to then reject).
+        assert registry.make_ref("notes.bogus") is None
+
+    def test_tag_is_comma_values(self, registry: FieldRegistry) -> None:
+        assert _resolve(registry, "tag").spec.comma_values is True
+
+    def test_correspondent_is_not_comma_values(self, registry: FieldRegistry) -> None:
+        # "tag" is the only field that opts in. This is only observable here:
+        # end to end the two readings of "correspondent:foo,bar" agree,
+        # because the analyzer splits the literal value on the comma anyway,
+        # so a result-level test cannot tell a value list from literal text.
+        assert _resolve(registry, "correspondent").spec.comma_values is False
+
+    def test_created_is_date_kind(self, registry: FieldRegistry) -> None:
+        resolved = _resolve(registry, "created")
+        assert resolved.spec.kind is FieldKind.DATE
+        assert resolved.spec.date_only is True
+
+    def test_analyzer_lowercases_and_ascii_folds(self, registry: FieldRegistry) -> None:
+        # title uses the paperless_text analyzer: simple -> remove_long ->
+        # lowercase -> ascii_fold [-> stemmer]. With no language configured
+        # (None), no stemmer runs, so "Café" folds to the single token "cafe".
+        resolved = _resolve(registry, "title")
+        assert resolved.spec.analyzer is not None
+        assert resolved.spec.analyzer("Café") == ["cafe"]
+
+    def test_checksum_analyzer_is_identity_single_token(
+        self,
+        registry: FieldRegistry,
+    ) -> None:
+        # checksum uses the raw tokenizer at index time (no splitting).
+        resolved = _resolve(registry, "checksum")
+        assert resolved.spec.analyzer is not None
+        assert resolved.spec.analyzer("ABC-123") == ["ABC-123"]
+
+    def test_pattern_normalizer_follows_the_registry_language(
+        self,
+        registry: FieldRegistry,
+    ) -> None:
+        # Index terms are stemmed, so patterns offer their stem too, using the
+        # registry's own language: "Running" has to reach the indexed "run".
+        # Without a language the index holds surface forms, so there is no
+        # second form and the run is only case/accent-folded.
+        resolved = _resolve(registry, "title")
+        assert resolved.spec.pattern_normalizer is not None
+        assert _distinct_forms(resolved.spec.pattern_normalizer("Running")) == (
+            "running",
+        )
+
+        resolved_en = _resolve(get_field_registry("en"), "title")
+        assert resolved_en.spec.pattern_normalizer is not None
+        assert _distinct_forms(resolved_en.spec.pattern_normalizer("Running")) == (
+            "running",
+            "run",
+        )
+
+    def test_registry_is_cached_per_language(self) -> None:
+        a = get_field_registry("en")
+        b = get_field_registry("en")
+        assert a is b
+
+    def test_registry_rebuilds_on_language_change(self) -> None:
+        a = get_field_registry("en")
+        b = get_field_registry("de")
+        assert a is not b

src/documents/tests/search/test_schema.py

@@ -1,12 +1,20 @@
 from __future__ import annotations
 
 import json
+from datetime import UTC
+from datetime import datetime
 from typing import TYPE_CHECKING
 
 import pytest
+import tantivy
 
+from documents.search._fields import PUBLIC_FIELDS
 from documents.search._schema import SCHEMA_VERSION
+from documents.search._schema import build_schema
+from documents.search._schema import field_descriptors
 from documents.search._schema import needs_rebuild
+from documents.search._schema import schema_fingerprint
+from documents.search._tokenizer import register_tokenizers
 
 if TYPE_CHECKING:
     from pathlib import Path
@@ -29,7 +37,13 @@ class TestNeedsRebuild:
     ) -> None:
         settings.SEARCH_LANGUAGE = "en"
         (index_dir / ".index_settings.json").write_text(
-            json.dumps({"schema_version": SCHEMA_VERSION, "language": "en"}),
+            json.dumps(
+                {
+                    "schema_version": SCHEMA_VERSION,
+                    "language": "en",
+                    "schema_fingerprint": schema_fingerprint(),
+                },
+            ),
         )
         assert needs_rebuild(index_dir) is False
 
@@ -76,3 +90,72 @@ class TestNeedsRebuild:
             json.dumps({"schema_version": SCHEMA_VERSION, "language": "en"}),
         )
         assert needs_rebuild(index_dir) is True
+
+
+def _schema_fields(schema: tantivy.Schema) -> dict[str, dict]:
+    """{name: field-state} for every field declared on a tantivy Schema.
+
+    tantivy-py 0.26 exposes no public introspection API on Schema (no
+    __iter__, get_field, to_json, etc.) -- __reduce__() (used internally for
+    pickling) is the only way to recover the field list, so we lean on it
+    here for test assertions only.
+    """
+    state = schema.__reduce__()[1][0]
+    return {field["name"]: field for field in state["inner"]}
+
+
+class TestSchemaMatchesPublicFields:
+    def test_every_public_field_is_in_the_schema(self) -> None:
+        schema = build_schema()
+        schema_field_names = set(_schema_fields(schema))
+        for field in PUBLIC_FIELDS:
+            assert field.name in schema_field_names, (
+                f"{field.name} is in PUBLIC_FIELDS but missing from build_schema()"
+            )
+
+    def test_asn_page_count_num_notes_are_fast_unsigned_fields(self) -> None:
+        # Spot-check kind-derived construction for the U64 fields.
+        schema = build_schema()
+        doc = tantivy.Document()
+        doc.add_unsigned("id", 1)
+        doc.add_text("checksum", "x")
+        doc.add_unsigned("asn", 42)
+        doc.add_unsigned("page_count", 3)
+        doc.add_unsigned("num_notes", 0)
+        doc.add_date("created", datetime(2020, 1, 1, tzinfo=UTC))
+        doc.add_date("modified", datetime(2020, 1, 1, tzinfo=UTC))
+        doc.add_date("added", datetime(2020, 1, 1, tzinfo=UTC))
+        index = tantivy.Index(schema)
+        register_tokenizers(index, None)
+        writer = index.writer()
+        writer.add_document(doc)
+        writer.commit()
+        index.reload()
+        searcher = index.searcher()
+        results = searcher.search(tantivy.Query.term_query(schema, "asn", 42), limit=1)
+        assert len(results.hits) == 1
+
+
+class TestFastFlagAgreement:
+    def test_every_public_field_fast_flag_matches_the_built_schema(self) -> None:
+        # whoosh-compat's registry trusts PUBLIC_FIELDS' fast flag when resolving
+        # field:* existence checks (its FAST_FIELD strategy); a fast=True
+        # entry whose actual tantivy column is not fast would make those
+        # searches silently match nothing at search time. Only the U64 and
+        # DATE descriptors can carry the flag today, so this
+        # pins the agreement for EVERY kind: a future fast=True
+        # TEXT/KEYWORD/JSON entry the builder silently ignores fails here
+        # instead of at a user's query.
+        #
+        # field_descriptors() (not tantivy-py's __reduce__() pickling
+        # internals) is used as the probe here: it is exactly the input
+        # build_schema()'s SchemaBuilder consumes for the `fast` kwarg on
+        # every field kind, so it pins the same agreement without depending
+        # on a private pickled representation surviving a tantivy-py
+        # upgrade.
+        descriptor_fast = {d.name: d.fast for d in field_descriptors()}
+        for public_field in PUBLIC_FIELDS:
+            assert descriptor_fast[public_field.name] == public_field.fast, (
+                f"{public_field.name}: PUBLIC_FIELDS says fast={public_field.fast} but"
+                f" field_descriptors() says fast={descriptor_fast[public_field.name]}"
+            )

src/documents/tests/search/test_schema_fingerprint.py

@@ -0,0 +1,492 @@
+"""The schema fingerprint stamped into .index_settings.json.
+
+tantivy compares schemas by *ordered* field list, and `tantivy.Index(schema,
+path=...)` (what every write path does) raises on any difference. SCHEMA_VERSION
+is the manual guard against that, but build_schema() is edited for *parser*
+reasons - adding an alias, flipping fast=True, adding a subpath - by people not
+thinking about the on-disk index, and forgetting the bump is exactly how this
+branch's bug happened.
+
+The fingerprint is the automatic guard: it hashes the field descriptor list that
+build_schema() itself iterates, so any change to a field's name, kind, options
+or *position* forces a rebuild on its own.
+"""
+
+from __future__ import annotations
+
+import hashlib
+import json
+from typing import TYPE_CHECKING
+
+import pytest
+import tantivy
+
+from documents.search import _schema
+from documents.search._schema import SCHEMA_VERSION
+from documents.search._schema import FieldDescriptor
+from documents.search._schema import _write_sentinels
+from documents.search._schema import build_schema
+from documents.search._schema import field_descriptors
+from documents.search._schema import needs_rebuild
+from documents.search._schema import schema_fingerprint
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+    from pytest_django.fixtures import SettingsWrapper
+
+pytestmark = pytest.mark.search
+
+# The on-disk field layout of a v2 index, pinned as data. Any edit here is an
+# index-format change: it must come with a rebuild, which the fingerprint now
+# forces automatically. Reproduced from build_schema()'s output as it stood
+# before the descriptor refactor, so it also pins that the refactor changed
+# nothing.
+PINNED_DESCRIPTORS: tuple[FieldDescriptor, ...] = (
+    FieldDescriptor("id", "u64", stored=True, indexed=True, fast=True, tokenizer=None),
+    FieldDescriptor(
+        "title",
+        "text",
+        stored=True,
+        indexed=True,
+        fast=False,
+        tokenizer="paperless_text",
+    ),
+    FieldDescriptor(
+        "content",
+        "text",
+        stored=True,
+        indexed=True,
+        fast=False,
+        tokenizer="paperless_text",
+    ),
+    FieldDescriptor(
+        "correspondent",
+        "text",
+        stored=True,
+        indexed=True,
+        fast=False,
+        tokenizer="paperless_text",
+    ),
+    FieldDescriptor(
+        "document_type",
+        "text",
+        stored=True,
+        indexed=True,
+        fast=False,
+        tokenizer="paperless_text",
+    ),
+    FieldDescriptor(
+        "storage_path",
+        "text",
+        stored=True,
+        indexed=True,
+        fast=False,
+        tokenizer="paperless_text",
+    ),
+    FieldDescriptor(
+        "original_filename",
+        "text",
+        stored=True,
+        indexed=True,
+        fast=False,
+        tokenizer="paperless_text",
+    ),
+    FieldDescriptor(
+        "tag",
+        "text",
+        stored=True,
+        indexed=True,
+        fast=False,
+        tokenizer="paperless_text",
+    ),
+    FieldDescriptor(
+        "checksum",
+        "text",
+        stored=True,
+        indexed=True,
+        fast=False,
+        tokenizer="raw",
+    ),
+    FieldDescriptor("asn", "u64", stored=True, indexed=True, fast=True, tokenizer=None),
+    FieldDescriptor(
+        "page_count",
+        "u64",
+        stored=True,
+        indexed=True,
+        fast=True,
+        tokenizer=None,
+    ),
+    FieldDescriptor(
+        "num_notes",
+        "u64",
+        stored=True,
+        indexed=True,
+        fast=True,
+        tokenizer=None,
+    ),
+    FieldDescriptor(
+        "created",
+        "date",
+        stored=True,
+        indexed=True,
+        fast=True,
+        tokenizer=None,
+    ),
+    FieldDescriptor(
+        "modified",
+        "date",
+        stored=True,
+        indexed=True,
+        fast=True,
+        tokenizer=None,
+    ),
+    FieldDescriptor(
+        "added",
+        "date",
+        stored=True,
+        indexed=True,
+        fast=True,
+        tokenizer=None,
+    ),
+    FieldDescriptor(
+        "notes",
+        "json",
+        stored=True,
+        indexed=True,
+        fast=False,
+        tokenizer="paperless_text",
+    ),
+    FieldDescriptor(
+        "notes_text",
+        "text",
+        stored=True,
+        indexed=True,
+        fast=False,
+        tokenizer="paperless_text",
+    ),
+    FieldDescriptor(
+        "custom_fields",
+        "json",
+        stored=True,
+        indexed=True,
+        fast=False,
+        tokenizer="paperless_text",
+    ),
+    FieldDescriptor(
+        "title_sort",
+        "text",
+        stored=False,
+        indexed=True,
+        fast=True,
+        tokenizer="simple_analyzer",
+    ),
+    FieldDescriptor(
+        "correspondent_sort",
+        "text",
+        stored=False,
+        indexed=True,
+        fast=True,
+        tokenizer="simple_analyzer",
+    ),
+    FieldDescriptor(
+        "type_sort",
+        "text",
+        stored=False,
+        indexed=True,
+        fast=True,
+        tokenizer="simple_analyzer",
+    ),
+    FieldDescriptor(
+        "bigram_content",
+        "text",
+        stored=False,
+        indexed=True,
+        fast=False,
+        tokenizer="bigram_analyzer",
+    ),
+    FieldDescriptor(
+        "bigram_title",
+        "text",
+        stored=False,
+        indexed=True,
+        fast=False,
+        tokenizer="bigram_analyzer",
+    ),
+    FieldDescriptor(
+        "bigram_correspondent",
+        "text",
+        stored=False,
+        indexed=True,
+        fast=False,
+        tokenizer="bigram_analyzer",
+    ),
+    FieldDescriptor(
+        "bigram_document_type",
+        "text",
+        stored=False,
+        indexed=True,
+        fast=False,
+        tokenizer="bigram_analyzer",
+    ),
+    FieldDescriptor(
+        "bigram_tag",
+        "text",
+        stored=False,
+        indexed=True,
+        fast=False,
+        tokenizer="bigram_analyzer",
+    ),
+    FieldDescriptor(
+        "simple_title",
+        "text",
+        stored=False,
+        indexed=True,
+        fast=False,
+        tokenizer="simple_search_analyzer",
+    ),
+    FieldDescriptor(
+        "simple_content",
+        "text",
+        stored=False,
+        indexed=True,
+        fast=False,
+        tokenizer="simple_search_analyzer",
+    ),
+    FieldDescriptor(
+        "autocomplete_word",
+        "text",
+        stored=False,
+        indexed=True,
+        fast=False,
+        tokenizer="raw",
+    ),
+    FieldDescriptor(
+        "owner_id",
+        "u64",
+        stored=False,
+        indexed=True,
+        fast=True,
+        tokenizer=None,
+    ),
+    FieldDescriptor(
+        "viewer_id",
+        "u64",
+        stored=False,
+        indexed=True,
+        fast=True,
+        tokenizer=None,
+    ),
+    FieldDescriptor(
+        "viewer_group_id",
+        "u64",
+        stored=False,
+        indexed=True,
+        fast=True,
+        tokenizer=None,
+    ),
+)
+
+
+def _schema_fields(schema: tantivy.Schema) -> list[dict]:
+    """The tantivy-level field list, in declaration order.
+
+    tantivy-py 0.26 exposes no public introspection API on Schema, so
+    __reduce__() (its pickling hook) is the only way to recover the field list.
+    It is used here, in a test, precisely because it is the representation the
+    persisted fingerprint must NOT depend on.
+    """
+    return schema.__reduce__()[1][0]["inner"]
+
+
+def _sentinels(index_dir: Path, **overrides: object) -> None:
+    data = {
+        "schema_version": SCHEMA_VERSION,
+        "language": None,
+        "schema_fingerprint": schema_fingerprint(),
+    }
+    data.update(overrides)
+    (index_dir / ".index_settings.json").write_text(json.dumps(data))
+
+
+class TestDescriptorsDescribeTheBuiltSchema:
+    def test_descriptors_match_the_pinned_field_layout(self) -> None:
+        assert tuple(field_descriptors()) == PINNED_DESCRIPTORS
+
+    def test_built_schema_matches_the_descriptors(self) -> None:
+        """The descriptors are not a parallel description - they are the input.
+
+        Reading the built schema back proves the loop honours every option, so
+        a descriptor edit cannot claim a shape the SchemaBuilder did not build.
+        """
+        kinds = {"text": "text", "json": "json_object", "u64": "u64", "date": "date"}
+        built = [
+            (
+                field["name"],
+                field["type"],
+                field["options"]["stored"],
+                bool(field["options"].get("fast")),
+                (field["options"].get("indexing") or {}).get("tokenizer"),
+            )
+            for field in _schema_fields(build_schema())
+        ]
+        expected = [
+            (
+                descriptor.name,
+                kinds[descriptor.kind],
+                descriptor.stored,
+                descriptor.fast,
+                descriptor.tokenizer,
+            )
+            for descriptor in field_descriptors()
+        ]
+        assert built == expected
+
+
+class TestFingerprintSensitivity:
+    def test_a_field_option_change_moves_the_fingerprint(
+        self,
+        monkeypatch: pytest.MonkeyPatch,
+    ) -> None:
+        before = schema_fingerprint()
+        changed = field_descriptors()
+        changed[1] = changed[1]._replace(fast=True)
+        monkeypatch.setattr(_schema, "field_descriptors", lambda: changed)
+
+        assert schema_fingerprint() != before
+
+    def test_reordering_alone_moves_the_fingerprint(
+        self,
+        monkeypatch: pytest.MonkeyPatch,
+    ) -> None:
+        """The original bug: same fields, different declaration order.
+
+        A set- or dict-based fingerprint would be blind to this, and tantivy
+        would reject every write against the existing index.
+        """
+        before = schema_fingerprint()
+        swapped = field_descriptors()
+        swapped[1], swapped[2] = swapped[2], swapped[1]
+        monkeypatch.setattr(_schema, "field_descriptors", lambda: swapped)
+
+        assert schema_fingerprint() != before
+
+    def test_repeated_calls_agree(self) -> None:
+        assert schema_fingerprint() == schema_fingerprint()
+
+
+class TestFingerprintIsIndependentOfTantivy:
+    def test_a_tantivy_option_key_addition_would_not_move_it(self) -> None:
+        """A tantivy-py upgrade must not force a global reindex.
+
+        Hashing schema.__reduce__() would do exactly that: the simulated new
+        option key below changes that payload for every user with no schema
+        change at all.
+        """
+        fields = _schema_fields(build_schema())
+        upgraded = [
+            {**field, "options": {**field["options"], "coerce": True}}
+            for field in fields
+        ]
+        assert _hash(upgraded) != _hash(fields)
+        assert schema_fingerprint() == _fingerprint_of(field_descriptors())
+
+    def test_fingerprint_never_touches_the_schema_builder(
+        self,
+        monkeypatch: pytest.MonkeyPatch,
+    ) -> None:
+        before = schema_fingerprint()
+
+        class _RemovedSchemaBuilder:
+            def __init__(self) -> None:
+                raise AssertionError("tantivy.SchemaBuilder was consulted")
+
+        monkeypatch.setattr(tantivy, "SchemaBuilder", _RemovedSchemaBuilder)
+        with pytest.raises(AssertionError):
+            build_schema()
+
+        assert schema_fingerprint() == before
+
+
+def _hash(payload: object) -> str:
+    return hashlib.blake2b(json.dumps(payload).encode()).hexdigest()
+
+
+def _fingerprint_of(descriptors: list[FieldDescriptor]) -> str:
+    return _hash([list(descriptor) for descriptor in descriptors])
+
+
+class TestNeedsRebuildOnFingerprint:
+    def test_matching_fingerprint_does_not_rebuild(
+        self,
+        index_dir: Path,
+        settings: SettingsWrapper,
+    ) -> None:
+        settings.SEARCH_LANGUAGE = None
+        _sentinels(index_dir)
+
+        assert needs_rebuild(index_dir) is False
+
+    def test_stale_fingerprint_rebuilds_despite_a_matching_version(
+        self,
+        index_dir: Path,
+        settings: SettingsWrapper,
+        monkeypatch: pytest.MonkeyPatch,
+    ) -> None:
+        """The failure this task exists to prevent: schema edited, version not
+        bumped. Without the fingerprint check, `reindex --if-needed` reports the
+        index up to date and every write then raises."""
+        settings.SEARCH_LANGUAGE = None
+        _sentinels(index_dir)
+        extended = [
+            *field_descriptors(),
+            FieldDescriptor(
+                "new_field",
+                "u64",
+                stored=False,
+                indexed=True,
+                fast=True,
+                tokenizer=None,
+            ),
+        ]
+        monkeypatch.setattr(_schema, "field_descriptors", lambda: extended)
+
+        assert needs_rebuild(index_dir) is True
+
+    def test_reordered_schema_rebuilds(
+        self,
+        index_dir: Path,
+        settings: SettingsWrapper,
+        monkeypatch: pytest.MonkeyPatch,
+    ) -> None:
+        settings.SEARCH_LANGUAGE = None
+        _sentinels(index_dir)
+        reordered = field_descriptors()
+        reordered[1], reordered[2] = reordered[2], reordered[1]
+        monkeypatch.setattr(_schema, "field_descriptors", lambda: reordered)
+
+        assert needs_rebuild(index_dir) is True
+
+    def test_missing_fingerprint_rebuilds(
+        self,
+        index_dir: Path,
+        settings: SettingsWrapper,
+    ) -> None:
+        """No seeding: an index whose schema shape nobody recorded is rebuilt
+        rather than trusted."""
+        settings.SEARCH_LANGUAGE = None
+        (index_dir / ".index_settings.json").write_text(
+            json.dumps({"schema_version": SCHEMA_VERSION, "language": None}),
+        )
+
+        assert needs_rebuild(index_dir) is True
+
+    def test_written_sentinels_satisfy_the_check(
+        self,
+        index_dir: Path,
+        settings: SettingsWrapper,
+    ) -> None:
+        settings.SEARCH_LANGUAGE = "en"
+        _write_sentinels(index_dir)
+
+        assert needs_rebuild(index_dir) is False

src/documents/tests/search/test_schema_version.py

@@ -0,0 +1,164 @@
+"""SCHEMA_VERSION must change whenever build_schema()'s field list or order does.
+
+tantivy compares schemas by *ordered* field list. ``Index.open()`` loads the
+schema from the index's own ``meta.json``, so reads against an index built by an
+older release keep working after a field reorder. Writes do not:
+``WriteBatch.__enter__`` calls ``tantivy.Index(build_schema(), path=...)``, an
+open-or-create that raises ``ValueError`` on any schema difference. Nothing
+catches that ValueError, so consumption, index_document and bulk edit all
+hard-fail while ``/api/status/`` still reports the index healthy.
+
+The only thing that saves such an install is ``needs_rebuild()`` noticing the
+version stamped in ``.index_settings.json`` is stale.
+"""
+
+from __future__ import annotations
+
+import json
+from typing import TYPE_CHECKING
+
+import pytest
+import tantivy
+from django.conf import settings as django_settings
+
+from documents.search._schema import build_schema
+from documents.search._schema import needs_rebuild
+from documents.search._schema import open_or_rebuild_index
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+pytestmark = [pytest.mark.search]
+
+RELEASED_V1_SCHEMA_VERSION = 1
+
+
+def _build_released_v1_schema() -> tantivy.Schema:
+    """Frozen copy of build_schema() as shipped in v3.0.x (schema version 1).
+
+    Deliberately duplicated rather than imported: it must keep describing the
+    on-disk layout of already-deployed indexes even as build_schema() evolves.
+    """
+    sb = tantivy.SchemaBuilder()
+
+    sb.add_unsigned_field("id", stored=True, indexed=True, fast=True)
+    sb.add_text_field("checksum", stored=True, tokenizer_name="raw")
+
+    for field in (
+        "title",
+        "correspondent",
+        "document_type",
+        "storage_path",
+        "original_filename",
+        "content",
+    ):
+        sb.add_text_field(field, stored=True, tokenizer_name="paperless_text")
+
+    for field in ("title_sort", "correspondent_sort", "type_sort"):
+        sb.add_text_field(
+            field,
+            stored=False,
+            tokenizer_name="simple_analyzer",
+            fast=True,
+        )
+
+    for field in (
+        "bigram_content",
+        "bigram_title",
+        "bigram_correspondent",
+        "bigram_document_type",
+        "bigram_tag",
+    ):
+        sb.add_text_field(field, stored=False, tokenizer_name="bigram_analyzer")
+
+    for field in ("simple_title", "simple_content"):
+        sb.add_text_field(field, stored=False, tokenizer_name="simple_search_analyzer")
+
+    sb.add_text_field("autocomplete_word", stored=False, tokenizer_name="raw")
+    sb.add_text_field("tag", stored=True, tokenizer_name="paperless_text")
+
+    sb.add_json_field("notes", stored=True, tokenizer_name="paperless_text")
+    sb.add_text_field("notes_text", stored=True, tokenizer_name="paperless_text")
+    sb.add_json_field("custom_fields", stored=True, tokenizer_name="paperless_text")
+
+    for field in (
+        "correspondent_id",
+        "document_type_id",
+        "storage_path_id",
+        "tag_id",
+        "owner_id",
+        "viewer_id",
+        "viewer_group_id",
+    ):
+        sb.add_unsigned_field(field, stored=False, indexed=True, fast=True)
+
+    for field in ("created", "modified", "added"):
+        sb.add_date_field(field, stored=True, indexed=True, fast=True)
+
+    for field in ("asn", "page_count", "num_notes"):
+        sb.add_unsigned_field(field, stored=True, indexed=True, fast=True)
+
+    return sb.build()
+
+
+@pytest.fixture
+def released_v1_index(tmp_path: Path) -> Path:
+    """An index directory as a v3.0.x install would leave it on disk."""
+    index_dir = tmp_path / "index"
+    index_dir.mkdir()
+    tantivy.Index(_build_released_v1_schema(), path=str(index_dir))
+    (index_dir / ".index_settings.json").write_text(
+        json.dumps(
+            {
+                "schema_version": RELEASED_V1_SCHEMA_VERSION,
+                "language": django_settings.SEARCH_LANGUAGE,
+            },
+        ),
+    )
+    return index_dir
+
+
+class TestUpgradeFromReleasedV1Index:
+    def test_released_v1_index_is_flagged_for_rebuild(
+        self,
+        released_v1_index: Path,
+    ) -> None:
+        """The current schema differs from v1's, so the sentinel must be stale.
+
+        If this fails, `document_index reindex --if-needed` prints "Search index
+        is up to date" and skips, leaving the mismatched index in place.
+        """
+        assert needs_rebuild(released_v1_index) is True
+
+    def test_v1_index_rejects_writes_against_the_current_schema(
+        self,
+        released_v1_index: Path,
+    ) -> None:
+        """The failure mode the version bump exists to prevent.
+
+        This is exactly what WriteBatch.__enter__ does on every index write.
+        """
+        with pytest.raises(ValueError, match="schema does not match"):
+            tantivy.Index(build_schema(), path=str(released_v1_index))
+
+    def test_opening_a_v1_index_leaves_it_writable(
+        self,
+        released_v1_index: Path,
+    ) -> None:
+        """End to end: open_or_rebuild_index must hand back an index that the
+        write path can reopen. Before the version bump, needs_rebuild() returned
+        False here, the stale directory survived untouched, and every subsequent
+        write raised the ValueError above."""
+        open_or_rebuild_index(released_v1_index)
+
+        tantivy.Index(build_schema(), path=str(released_v1_index))
+
+    def test_rebuilt_index_is_not_rebuilt_again(
+        self,
+        released_v1_index: Path,
+    ) -> None:
+        """The rebuild must stamp the version it actually wrote, otherwise every
+        startup wipes and reindexes the whole corpus."""
+        open_or_rebuild_index(released_v1_index)
+
+        assert needs_rebuild(released_v1_index) is False

src/documents/tests/search/test_tokenizer.py

@@ -7,8 +7,8 @@ import pytest
 import tantivy
 
 from documents.search._tokenizer import _bigram_analyzer
-from documents.search._tokenizer import _paperless_text
 from documents.search._tokenizer import _simple_search_analyzer
+from documents.search._tokenizer import paperless_text_analyzer
 from documents.search._tokenizer import register_tokenizers
 
 if TYPE_CHECKING:
@@ -25,7 +25,7 @@ class TestTokenizers:
         sb.add_text_field("content", stored=True, tokenizer_name="paperless_text")
         schema = sb.build()
         idx = tantivy.Index(schema, path=None)
-        idx.register_tokenizer("paperless_text", _paperless_text(""))
+        idx.register_tokenizer("paperless_text", paperless_text_analyzer(""))
         return idx
 
     @pytest.fixture

src/documents/tests/test_api_app_config.py

@@ -72,10 +72,6 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):
                 "barcode_enable_tag": None,
                 "barcode_tag_mapping": None,
                 "barcode_tag_split": None,
-                "remote_ocr_engine": None,
-                "remote_ocr_api_key": None,
-                "remote_ocr_endpoint": None,
-                "remote_ocr_mode": None,
                 "ai_enabled": False,
                 "llm_embedding_backend": None,
                 "llm_embedding_model": None,
@@ -874,49 +870,6 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):
         config.refresh_from_db()
         self.assertEqual(config.llm_api_key, None)
 
-    def test_update_remote_ocr_api_key(self) -> None:
-        """
-        GIVEN:
-            - Existing config with remote_ocr_api_key specified
-        WHEN:
-            - API to update remote_ocr_api_key is called with all *s
-            - API to update remote_ocr_api_key is called with empty string
-        THEN:
-            - remote_ocr_api_key is unchanged
-            - remote_ocr_api_key is set to None
-        """
-        config = ApplicationConfiguration.objects.first()
-        assert config is not None
-        config.remote_ocr_api_key = "1234567890"
-        config.save()
-
-        # Test with all *
-        response = self.client.patch(
-            f"{self.ENDPOINT}1/",
-            json.dumps(
-                {
-                    "remote_ocr_api_key": "*" * 32,
-                },
-            ),
-            content_type="application/json",
-        )
-        self.assertEqual(response.status_code, status.HTTP_200_OK)
-        config.refresh_from_db()
-        self.assertEqual(config.remote_ocr_api_key, "1234567890")
-        # Test with empty string
-        response = self.client.patch(
-            f"{self.ENDPOINT}1/",
-            json.dumps(
-                {
-                    "remote_ocr_api_key": "",
-                },
-            ),
-            content_type="application/json",
-        )
-        self.assertEqual(response.status_code, status.HTTP_200_OK)
-        config.refresh_from_db()
-        self.assertEqual(config.remote_ocr_api_key, None)
-
     def test_enable_ai_index_triggers_update(self) -> None:
         """
         GIVEN:

src/documents/tests/test_api_bulk_edit.py

@@ -532,29 +532,7 @@ class TestBulkEditAPI(DirectoriesMixin, APITestCase):
         m.assert_called_once()
         args, kwargs = m.call_args
         self.assertEqual(args[0], [self.doc1.id])
-        self.assertEqual(kwargs, {"remote_ocr": False})
-
-    @mock.patch("documents.views.bulk_edit.reprocess")
-    def test_reprocess_documents_endpoint_remote_ocr(self, m) -> None:
-        """
-        GIVEN:
-            - API data to reprocess a document with remote OCR requested
-        WHEN:
-            - API is called
-        THEN:
-            - reprocess is called with remote_ocr=True
-        """
-        self.setup_mock(m, "reprocess")
-        response = self.client.post(
-            "/api/documents/reprocess/",
-            json.dumps({"documents": [self.doc1.id], "remote_ocr": True}),
-            content_type="application/json",
-        )
-        self.assertEqual(response.status_code, status.HTTP_200_OK)
-        m.assert_called_once()
-        args, kwargs = m.call_args
-        self.assertEqual(args[0], [self.doc1.id])
-        self.assertEqual(kwargs, {"remote_ocr": True})
+        self.assertEqual(len(kwargs), 0)
 
     @mock.patch("documents.serialisers.bulk_edit.set_storage_path")
     def test_api_set_storage_path(self, m) -> None:
@@ -1575,29 +1553,6 @@ class TestBulkEditAPI(DirectoriesMixin, APITestCase):
                             ),
                         )
 
-    def test_legacy_bulk_edit_reprocess_invalid_remote_ocr(self) -> None:
-        """
-        GIVEN:
-            - The deprecated bulk_edit endpoint with a non-boolean remote_ocr
-        WHEN:
-            - API is called
-        THEN:
-            - The request is rejected rather than passed through to the task
-        """
-        response = self.client.post(
-            "/api/documents/bulk_edit/",
-            json.dumps(
-                {
-                    "documents": [self.doc1.id],
-                    "method": "reprocess",
-                    "parameters": {"remote_ocr": "yes please"},
-                },
-            ),
-            content_type="application/json",
-        )
-
-        self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
-
     @mock.patch("documents.views.bulk_edit.edit_pdf")
     def test_edit_pdf(self, m) -> None:
         self.setup_mock(m, "edit_pdf")

src/documents/tests/test_api_document_versions.py

@@ -2,14 +2,15 @@ from __future__ import annotations
 
 import datetime
 from typing import TYPE_CHECKING
+from unittest import TestCase
 from unittest import mock
 
 from auditlog.models import LogEntry  # type: ignore[import-untyped]
 from django.contrib.auth.models import Permission
 from django.contrib.auth.models import User
 from django.contrib.contenttypes.models import ContentType
+from django.core.exceptions import FieldError
 from django.core.files.uploadedfile import SimpleUploadedFile
-from django.test import TestCase as DjangoTestCase
 from django.utils import timezone
 from rest_framework import status
 from rest_framework.test import APITestCase
@@ -20,8 +21,6 @@ from documents.filters import TitleContentFilter
 from documents.models import Document
 from documents.tests.utils import DirectoriesMixin
 from documents.tests.utils import read_streaming_response
-from documents.versioning import annotate_effective_content
-from documents.views import DocumentSelectionMixin
 
 if TYPE_CHECKING:
     from pathlib import Path
@@ -890,103 +889,32 @@ class TestDocumentVersioningApi(DirectoriesMixin, APITestCase):
         )
 
 
-class TestVersionAwareFilters(DjangoTestCase):
-    """
-    The filters annotate effective_content themselves rather than relying on
-    the caller's queryset carrying it, so they stay version-aware on a plain
-    Document queryset (e.g. the bulk-edit "select all matching" path).
-    """
+class TestVersionAwareFilters(TestCase):
+    def test_title_content_filter_falls_back_to_content(self) -> None:
+        queryset = mock.Mock()
+        fallback_queryset = mock.Mock()
+        queryset.filter.side_effect = [FieldError("missing field"), fallback_queryset]
 
-    def setUp(self) -> None:
-        super().setUp()
-        self.root = Document.objects.create(
-            title="root",
-            checksum="root",
-            mime_type="application/pdf",
-            content="superseded-content",
-        )
-        Document.objects.create(
-            title="version",
-            checksum="version",
-            mime_type="application/pdf",
-            root_document=self.root,
-            version_index=1,
-            content="latest-content",
-        )
-        self.unversioned = Document.objects.create(
-            title="unversioned",
-            checksum="unversioned",
-            mime_type="application/pdf",
-            content="latest-content",
-        )
+        result = TitleContentFilter().filter(queryset, " latest ")
 
-    def test_title_content_filter_matches_latest_version_content(self) -> None:
-        result = TitleContentFilter().filter(
-            Document.objects.filter(root_document__isnull=True),
+        self.assertIs(result, fallback_queryset)
+        self.assertEqual(queryset.filter.call_count, 2)
+
+    def test_effective_content_filter_falls_back_to_content_lookup(self) -> None:
+        queryset = mock.Mock()
+        fallback_queryset = mock.Mock()
+        queryset.filter.side_effect = [FieldError("missing field"), fallback_queryset]
+
+        result = EffectiveContentFilter(lookup_expr="icontains").filter(
+            queryset,
             " latest ",
         )
 
-        self.assertCountEqual(
-            [doc.id for doc in result],
-            [self.root.id, self.unversioned.id],
-        )
-
-    def test_effective_content_filter_matches_latest_version_content(self) -> None:
-        result = EffectiveContentFilter(lookup_expr="icontains").filter(
-            Document.objects.filter(root_document__isnull=True),
-            " latest ",
-        )
-
-        self.assertCountEqual(
-            [doc.id for doc in result],
-            [self.root.id, self.unversioned.id],
-        )
-
-    def test_effective_content_filter_ignores_superseded_content(self) -> None:
-        result = EffectiveContentFilter(lookup_expr="icontains").filter(
-            Document.objects.filter(root_document__isnull=True),
-            "superseded",
-        )
-
-        self.assertEqual(list(result), [])
-
-    def test_filters_reuse_an_existing_annotation(self) -> None:
-        """
-        Annotating twice under the same alias is an error, so an already
-        annotated queryset (the search path) has to be left alone.
-        """
-        annotated = annotate_effective_content(
-            Document.objects.filter(root_document__isnull=True),
-        )
-
-        result = EffectiveContentFilter(lookup_expr="icontains").filter(
-            annotated,
-            "latest",
-        )
-
-        self.assertCountEqual(
-            [doc.id for doc in result],
-            [self.root.id, self.unversioned.id],
-        )
-
-    def test_bulk_selection_does_not_match_superseded_content(self) -> None:
-        """
-        Bulk edit's "select all matching" builds its own queryset, so before
-        the filters annotated for themselves it matched the root document's
-        superseded content -- selecting documents the list view, filtered by
-        the same term, does not show.
-        """
-        user = User.objects.create_superuser(username="bulk_selection")
-
-        selected = DocumentSelectionMixin()._resolve_document_ids(
-            user=user,
-            validated_data={
-                "all": True,
-                "filters": {"content__icontains": "superseded"},
-            },
-        )
-
-        self.assertEqual(selected, [])
+        self.assertIs(result, fallback_queryset)
+        first_kwargs = queryset.filter.call_args_list[0].kwargs
+        second_kwargs = queryset.filter.call_args_list[1].kwargs
+        self.assertEqual(first_kwargs, {"effective_content__icontains": "latest"})
+        self.assertEqual(second_kwargs, {"content__icontains": "latest"})
 
     def test_effective_content_filter_returns_input_for_empty_values(self) -> None:
         queryset = mock.Mock()
@@ -995,36 +923,3 @@ class TestVersionAwareFilters(DjangoTestCase):
 
         self.assertIs(result, queryset)
         queryset.filter.assert_not_called()
-
-
-class TestBulkSelectionExcludesVersions(DjangoTestCase):
-    def test_select_all_matching_does_not_select_version_documents(self) -> None:
-        """
-        "Select all matching" reconstructs the document list, which never
-        contains version documents as rows of their own.
-        """
-        user = User.objects.create_superuser(username="bulk_versions")
-        root = Document.objects.create(
-            title="shared-title root",
-            checksum="bulk-root",
-            mime_type="application/pdf",
-            content="root",
-        )
-        Document.objects.create(
-            title="shared-title version",
-            checksum="bulk-version",
-            mime_type="application/pdf",
-            root_document=root,
-            version_index=1,
-            content="version",
-        )
-
-        selected = DocumentSelectionMixin()._resolve_document_ids(
-            user=user,
-            validated_data={
-                "all": True,
-                "filters": {"title__icontains": "shared-title"},
-            },
-        )
-
-        self.assertEqual(selected, [root.id])

src/documents/tests/test_api_search.py

@@ -1917,29 +1917,6 @@ class TestDocumentSearchApi(DirectoriesMixin, APITestCase):
         self.assertEqual(len(response.data["documents"]), 1)
         self.assertEqual(response.data["documents"][0]["id"], title_match.id)
 
-    def test_global_search_returns_latest_version_content(self) -> None:
-        root = Document.objects.create(
-            title="bank statement",
-            content="superseded content",
-            checksum="GSV1",
-            pk=23,
-        )
-        Document.objects.create(
-            title="bank statement v2",
-            content="latest content",
-            checksum="GSV2",
-            pk=24,
-            root_document=root,
-            version_index=1,
-        )
-
-        self.client.force_authenticate(self.user)
-
-        response = self.client.get("/api/search/?query=bank&db_only=true")
-        self.assertEqual(response.status_code, status.HTTP_200_OK)
-        returned = {doc["id"]: doc["content"] for doc in response.data["documents"]}
-        self.assertEqual(returned.get(root.id), "latest content")
-
     def test_global_search_filters_owned_mail_objects(self) -> None:
         user1 = User.objects.create_user("mail-search-user")
         user2 = User.objects.create_user("other-mail-search-user")

src/documents/tests/test_api_uisettings.py

@@ -60,10 +60,6 @@ class TestApiUiSettings(DirectoriesMixin, APITestCase):
                 },
                 "email_enabled": False,
                 "ai_enabled": False,
-                "remote_ocr": {
-                    "configured": False,
-                    "mode": "always",
-                },
             },
         )
 
@@ -158,50 +154,6 @@ class TestApiUiSettings(DirectoriesMixin, APITestCase):
             str(response.data["settings"]),
         )
 
-    @override_settings(
-        REMOTE_OCR_ENGINE="azureai",
-        REMOTE_OCR_API_KEY="somekey",
-        REMOTE_OCR_ENDPOINT="https://example.cognitiveservices.azure.com",
-        REMOTE_OCR_MODE="workflow_only",
-    )
-    def test_settings_reports_remote_ocr_when_configured(self) -> None:
-        """
-        GIVEN:
-            - A fully configured remote OCR engine in workflow_only mode
-        WHEN:
-            - The ui_settings endpoint is called
-        THEN:
-            - The UI is told remote OCR is available and selective, so it can
-              offer it where it would actually change something
-        """
-        response = self.client.get(self.ENDPOINT, format="json")
-
-        self.assertEqual(response.status_code, status.HTTP_200_OK)
-        self.assertEqual(
-            response.data["settings"]["remote_ocr"],
-            {"configured": True, "mode": "workflow_only"},
-        )
-
-    @override_settings(
-        REMOTE_OCR_ENGINE="azureai",
-        REMOTE_OCR_API_KEY=None,
-        REMOTE_OCR_ENDPOINT=None,
-    )
-    def test_settings_reports_remote_ocr_incompletely_configured(self) -> None:
-        """
-        GIVEN:
-            - An engine named but missing its endpoint and API key
-        WHEN:
-            - The ui_settings endpoint is called
-        THEN:
-            - It is reported as not configured, matching what the parser
-              registry will actually do
-        """
-        response = self.client.get(self.ENDPOINT, format="json")
-
-        self.assertEqual(response.status_code, status.HTTP_200_OK)
-        self.assertFalse(response.data["settings"]["remote_ocr"]["configured"])
-
     @override_settings(
         OAUTH_CALLBACK_BASE_URL="http://localhost:8000",
         GMAIL_OAUTH_CLIENT_ID="abc123",

src/documents/tests/test_api_workflows.py

@@ -506,280 +506,6 @@ class TestApiWorkflows(DirectoriesMixin, APITestCase):
 
         self.assertEqual(Workflow.objects.count(), 1)
 
-    def test_api_create_remote_ocr_action_requires_consumption_trigger(
-        self,
-    ) -> None:
-        """
-        GIVEN:
-            - API request to create a workflow with a remote OCR action
-            - No consumption started trigger, so the action could never run
-        WHEN:
-            - API is called
-        THEN:
-            - Correct HTTP 400 response
-            - No objects are created
-        """
-        existing_count = Workflow.objects.count()
-
-        response = self.client.post(
-            self.ENDPOINT,
-            json.dumps(
-                {
-                    "name": "Remote OCR too late",
-                    "order": 1,
-                    "triggers": [
-                        {
-                            "type": WorkflowTrigger.WorkflowTriggerType.DOCUMENT_ADDED,
-                        },
-                    ],
-                    "actions": [
-                        {
-                            "type": WorkflowAction.WorkflowActionType.REMOTE_OCR,
-                        },
-                    ],
-                },
-            ),
-            content_type="application/json",
-        )
-
-        self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
-        self.assertEqual(Workflow.objects.count(), existing_count)
-
-    def test_api_create_remote_ocr_action_with_consumption_trigger(self) -> None:
-        """
-        GIVEN:
-            - API request to create a workflow with a remote OCR action
-            - A consumption started trigger alongside another trigger type
-        WHEN:
-            - API is called
-        THEN:
-            - The workflow is created, the action applies to consumption only
-        """
-        response = self.client.post(
-            self.ENDPOINT,
-            json.dumps(
-                {
-                    "name": "Remote OCR on consume",
-                    "order": 1,
-                    "triggers": [
-                        {
-                            "type": WorkflowTrigger.WorkflowTriggerType.CONSUMPTION,
-                            "filter_filename": "*.pdf",
-                        },
-                        {
-                            "type": WorkflowTrigger.WorkflowTriggerType.DOCUMENT_ADDED,
-                        },
-                    ],
-                    "actions": [
-                        {
-                            "type": WorkflowAction.WorkflowActionType.REMOTE_OCR,
-                        },
-                    ],
-                },
-            ),
-            content_type="application/json",
-        )
-
-        self.assertEqual(response.status_code, status.HTTP_201_CREATED)
-
-    def test_api_partial_update_adds_remote_ocr_action(self) -> None:
-        """
-        GIVEN:
-            - An existing workflow with a consumption started trigger
-        WHEN:
-            - A partial update adds a remote OCR action without resubmitting triggers
-        THEN:
-            - The existing trigger is considered and the update succeeds
-        """
-        response = self.client.patch(
-            f"{self.ENDPOINT}{self.workflow.id}/",
-            json.dumps(
-                {
-                    "actions": [
-                        {
-                            "type": WorkflowAction.WorkflowActionType.REMOTE_OCR,
-                        },
-                    ],
-                },
-            ),
-            content_type="application/json",
-        )
-
-        self.assertEqual(response.status_code, status.HTTP_200_OK)
-        self.assertEqual(
-            self.workflow.actions.get().type,
-            WorkflowAction.WorkflowActionType.REMOTE_OCR,
-        )
-
-    def test_api_partial_update_cannot_remove_remote_ocr_trigger(self) -> None:
-        """
-        GIVEN:
-            - An existing workflow with a remote OCR action
-            - An existing consumption started trigger
-        WHEN:
-            - A partial update replaces the trigger without resubmitting actions
-        THEN:
-            - The existing action is considered and the update is rejected
-        """
-        self.action.type = WorkflowAction.WorkflowActionType.REMOTE_OCR
-        self.action.save()
-
-        response = self.client.patch(
-            f"{self.ENDPOINT}{self.workflow.id}/",
-            json.dumps(
-                {
-                    "triggers": [
-                        {
-                            "type": WorkflowTrigger.WorkflowTriggerType.DOCUMENT_UPDATED,
-                        },
-                    ],
-                },
-            ),
-            content_type="application/json",
-        )
-
-        self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
-        self.assertEqual(self.workflow.triggers.get(), self.trigger)
-
-    def _post_ai_suggestions_workflow(self, *, trigger_types, action: dict):
-        def trigger(trigger_type):
-            # consumption triggers require a filter of their own
-            if trigger_type == WorkflowTrigger.WorkflowTriggerType.CONSUMPTION:
-                return {"type": trigger_type, "filter_filename": "*.pdf"}
-            return {"type": trigger_type}
-
-        return self.client.post(
-            self.ENDPOINT,
-            json.dumps(
-                {
-                    "name": "Apply AI suggestions",
-                    "order": 1,
-                    "triggers": [trigger(t) for t in trigger_types],
-                    "actions": [
-                        {
-                            "type": WorkflowAction.WorkflowActionType.APPLY_AI_SUGGESTIONS,
-                            **action,
-                        },
-                    ],
-                },
-            ),
-            content_type="application/json",
-        )
-
-    def test_api_create_apply_ai_suggestions_action(self) -> None:
-        """
-        GIVEN:
-            - API request to create a workflow with an apply AI suggestions
-              action and a valid set of fields
-        WHEN:
-            - API is called
-        THEN:
-            - The workflow is created with the chosen options
-        """
-        response = self._post_ai_suggestions_workflow(
-            trigger_types=[WorkflowTrigger.WorkflowTriggerType.DOCUMENT_ADDED],
-            action={
-                "ai_suggestion_fields": ["title", "tags", "correspondent"],
-                "ai_create_missing": True,
-                "ai_overwrite_existing": True,
-            },
-        )
-
-        self.assertEqual(response.status_code, status.HTTP_201_CREATED)
-        action = Workflow.objects.get(name="Apply AI suggestions").actions.first()
-        self.assertEqual(
-            action.ai_suggestion_fields,
-            ["title", "tags", "correspondent"],
-        )
-        self.assertTrue(action.ai_create_missing)
-        self.assertTrue(action.ai_overwrite_existing)
-
-    def test_api_create_apply_ai_suggestions_action_requires_fields(self) -> None:
-        """
-        GIVEN:
-            - API request to create an apply AI suggestions action with no
-              fields selected, which could never do anything
-        WHEN:
-            - API is called
-        THEN:
-            - Correct HTTP 400 response
-            - No objects are created
-        """
-        existing_count = Workflow.objects.count()
-
-        response = self._post_ai_suggestions_workflow(
-            trigger_types=[WorkflowTrigger.WorkflowTriggerType.DOCUMENT_ADDED],
-            action={"ai_suggestion_fields": []},
-        )
-
-        self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
-        self.assertEqual(Workflow.objects.count(), existing_count)
-
-    def test_api_create_apply_ai_suggestions_action_rejects_unknown_field(
-        self,
-    ) -> None:
-        """
-        GIVEN:
-            - API request to create an apply AI suggestions action naming a
-              field that does not exist
-        WHEN:
-            - API is called
-        THEN:
-            - Correct HTTP 400 response
-        """
-        response = self._post_ai_suggestions_workflow(
-            trigger_types=[WorkflowTrigger.WorkflowTriggerType.DOCUMENT_ADDED],
-            action={"ai_suggestion_fields": ["title", "not_a_field"]},
-        )
-
-        self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
-
-    def test_api_create_apply_ai_suggestions_action_rejects_consumption_only(
-        self,
-    ) -> None:
-        """
-        GIVEN:
-            - API request to create an apply AI suggestions action whose only
-              trigger is consumption started, so there is no document content
-              to make suggestions from yet
-        WHEN:
-            - API is called
-        THEN:
-            - Correct HTTP 400 response
-            - No objects are created
-        """
-        existing_count = Workflow.objects.count()
-
-        response = self._post_ai_suggestions_workflow(
-            trigger_types=[WorkflowTrigger.WorkflowTriggerType.CONSUMPTION],
-            action={"ai_suggestion_fields": ["title"]},
-        )
-
-        self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
-        self.assertEqual(Workflow.objects.count(), existing_count)
-
-    def test_api_create_apply_ai_suggestions_action_allows_extra_consumption_trigger(
-        self,
-    ) -> None:
-        """
-        GIVEN:
-            - API request to create an apply AI suggestions action with a
-              consumption trigger alongside a usable one
-        WHEN:
-            - API is called
-        THEN:
-            - The workflow is created, the action applies to the other trigger
-        """
-        response = self._post_ai_suggestions_workflow(
-            trigger_types=[
-                WorkflowTrigger.WorkflowTriggerType.CONSUMPTION,
-                WorkflowTrigger.WorkflowTriggerType.DOCUMENT_ADDED,
-            ],
-            action={"ai_suggestion_fields": ["title"]},
-        )
-
-        self.assertEqual(response.status_code, status.HTTP_201_CREATED)
-
     def test_api_create_workflow_trigger_action_empty_fields(self) -> None:
         """
         GIVEN:

src/documents/tests/test_bulk_edit.py

@@ -1782,56 +1782,3 @@ class TestPDFActions(DirectoriesMixin, TestCase):
 
         self.assertIn("wrong password", str(exc.exception))
         self.assertIn("Error removing password from document", cm.output[0])
-
-
-class TestBulkEditReprocess(DirectoriesMixin, TestCase):
-    def setUp(self) -> None:
-        super().setUp()
-
-        self.doc = Document.objects.create(
-            title="test",
-            checksum="A",
-            mime_type="application/pdf",
-        )
-
-    @mock.patch("documents.bulk_edit.update_document_content_maybe_archive_file")
-    def test_reprocess_defaults_to_local(self, mock_task: mock.Mock) -> None:
-        """
-        GIVEN:
-            - A reprocess request that says nothing about remote OCR
-        WHEN:
-            - reprocess is called
-        THEN:
-            - The task is queued without asking for the remote engine
-        """
-        result = bulk_edit.reprocess([self.doc.id])
-
-        self.assertEqual(result, "OK")
-        mock_task.apply_async.assert_called_once()
-        _, kwargs = mock_task.apply_async.call_args
-        self.assertEqual(
-            kwargs["kwargs"],
-            {"document_id": self.doc.id, "remote_ocr": False},
-        )
-
-    @mock.patch("documents.bulk_edit.update_document_content_maybe_archive_file")
-    def test_reprocess_passes_remote_ocr(self, mock_task: mock.Mock) -> None:
-        """
-        GIVEN:
-            - A reprocess request that explicitly asks for remote OCR
-        WHEN:
-            - reprocess is called
-        THEN:
-            - The request is forwarded to the task for every document
-        """
-        other = Document.objects.create(
-            title="test2",
-            checksum="B",
-            mime_type="application/pdf",
-        )
-
-        bulk_edit.reprocess([self.doc.id, other.id], remote_ocr=True)
-
-        self.assertEqual(mock_task.apply_async.call_count, 2)
-        for call in mock_task.apply_async.call_args_list:
-            self.assertTrue(call.kwargs["kwargs"]["remote_ocr"])

src/documents/tests/test_consumer.py

@@ -1559,72 +1559,6 @@ class PostConsumeTestCase(DirectoriesMixin, GetConsumerMixin, TestCase):
                         consumer.run_post_consume_script(doc)
 
 
-class TestConsumerRemoteOCR(
-    DirectoriesMixin,
-    FileSystemAssertsMixin,
-    GetConsumerMixin,
-    TestCase,
-):
-    """
-    The consumer resolves the remote OCR mode and the per-document request from
-    workflows into the allow_remote flag it hands to the parser registry.
-    """
-
-    def setUp(self) -> None:
-        super().setUp()
-
-        patcher = mock.patch("documents.consumer.get_parser_registry")
-        self.mock_registry = patcher.start()
-        self.mock_registry.return_value.get_parser_for_file.return_value = DummyParser
-        self.addCleanup(patcher.stop)
-
-    def _consume(self, *, overrides: DocumentMetadataOverrides | None = None) -> bool:
-        src = (
-            Path(__file__).parent
-            / "samples"
-            / "documents"
-            / "originals"
-            / "0000001.pdf"
-        )
-        dst = self.dirs.scratch_dir / "sample.pdf"
-        shutil.copy(src, dst)
-
-        with self.get_consumer(dst, overrides=overrides) as consumer:
-            consumer.run()
-
-        _, kwargs = self.mock_registry.return_value.get_parser_for_file.call_args
-        return kwargs["allow_remote"]
-
-    @override_settings(REMOTE_OCR_MODE="always")
-    def test_always_mode_allows_remote(self) -> None:
-        """
-        GIVEN: Remote OCR mode is 'always'.
-        WHEN:  A document is consumed without any workflow asking for it.
-        THEN:  The registry is allowed to pick the remote parser.
-        """
-        self.assertTrue(self._consume())
-
-    @override_settings(REMOTE_OCR_MODE="workflow_only")
-    def test_workflow_only_mode_denies_remote_by_default(self) -> None:
-        """
-        GIVEN: Remote OCR mode is 'workflow_only'.
-        WHEN:  A document is consumed and nothing asked for remote OCR.
-        THEN:  The remote parser is excluded.
-        """
-        self.assertFalse(self._consume())
-
-    @override_settings(REMOTE_OCR_MODE="workflow_only")
-    def test_workflow_only_mode_allows_remote_when_requested(self) -> None:
-        """
-        GIVEN: Remote OCR mode is 'workflow_only'.
-        WHEN:  A workflow set remote_ocr on the metadata overrides.
-        THEN:  The registry is allowed to pick the remote parser.
-        """
-        self.assertTrue(
-            self._consume(overrides=DocumentMetadataOverrides(remote_ocr=True)),
-        )
-
-
 class TestMetadataOverrides(TestCase):
     def test_update_skip_asn_if_exists(self) -> None:
         base = DocumentMetadataOverrides()
@@ -1632,20 +1566,6 @@ class TestMetadataOverrides(TestCase):
         base.update(incoming)
         self.assertTrue(base.skip_asn_if_exists)
 
-    def test_update_remote_ocr(self) -> None:
-        base = DocumentMetadataOverrides()
-        base.update(DocumentMetadataOverrides(remote_ocr=True))
-        self.assertTrue(base.remote_ocr)
-
-    def test_update_remote_ocr_is_not_unset(self) -> None:
-        """
-        A later workflow that says nothing must not undo an earlier one that
-        asked for remote OCR.
-        """
-        base = DocumentMetadataOverrides(remote_ocr=True)
-        base.update(DocumentMetadataOverrides())
-        self.assertTrue(base.remote_ocr)
-
     def test_update_actor_and_version_label(self) -> None:
         base = DocumentMetadataOverrides(
             actor_id=1,

src/documents/tests/test_task_signals.py

@@ -385,25 +385,6 @@ class TestTaskFailureHandler:
         task_failure_handler(task_id=None, exception=ValueError("x"), traceback=None)
 
 
-@pytest.mark.django_db
-class TestApplyAiSuggestionsTracking:
-    def test_records_the_document_it_is_for(self) -> None:
-        """
-        The action queues one task per document, so the tracked record notes
-        which document it is for -- otherwise a bulk run is an indistinguishable
-        wall of identical entries in the tasks list.
-        """
-        task_id = send_publish(
-            "documents.tasks.apply_ai_suggestions",
-            (),
-            {"action_id": 1, "document_id": 42},
-        )
-
-        task = PaperlessTask.objects.get(task_id=task_id)
-        assert task.task_type == PaperlessTask.TaskType.APPLY_AI_SUGGESTIONS
-        assert task.input_data == {"document_id": 42}
-
-
 @pytest.mark.django_db
 class TestTaskRevokedHandler:
     def test_marks_task_revoked(self, mocker: pytest_mock.MockerFixture) -> None:

src/documents/tests/test_tasks.py

@@ -14,7 +14,6 @@ from documents.models import Correspondent
 from documents.models import Document
 from documents.models import DocumentType
 from documents.models import Tag
-from documents.models import WorkflowAction
 from documents.sanity_checker import SanityCheckFailedException
 from documents.sanity_checker import SanityCheckMessages
 from documents.tests.test_classifier import dummy_preprocess
@@ -288,45 +287,6 @@ class TestUpdateContent(DirectoriesMixin, TestCase):
         self.assertNotEqual(Document.objects.get(pk=doc.pk).content, "test")
 
 
-class TestUpdateContentRemoteOCR(DirectoriesMixin, TestCase):
-    """
-    Consumption workflows do not run on reprocess, so the remote parser is
-    used only in 'always' mode or when the caller explicitly asks for it.
-    """
-
-    def setUp(self) -> None:
-        super().setUp()
-
-        patcher = mock.patch("documents.tasks.get_parser_registry")
-        self.mock_registry = patcher.start()
-        self.mock_registry.return_value.get_parser_for_file.return_value = None
-        self.addCleanup(patcher.stop)
-
-        self.doc = Document.objects.create(
-            title="test",
-            content="my document",
-            checksum="wow",
-            mime_type="application/pdf",
-        )
-
-    def _allow_remote(self, **kwargs) -> bool:
-        tasks.update_document_content_maybe_archive_file(self.doc.pk, **kwargs)
-        _, call_kwargs = self.mock_registry.return_value.get_parser_for_file.call_args
-        return call_kwargs["allow_remote"]
-
-    @override_settings(REMOTE_OCR_MODE="always")
-    def test_always_mode_allows_remote(self) -> None:
-        self.assertTrue(self._allow_remote())
-
-    @override_settings(REMOTE_OCR_MODE="workflow_only")
-    def test_workflow_only_mode_denies_remote_by_default(self) -> None:
-        self.assertFalse(self._allow_remote())
-
-    @override_settings(REMOTE_OCR_MODE="workflow_only")
-    def test_workflow_only_mode_allows_remote_when_requested(self) -> None:
-        self.assertTrue(self._allow_remote(remote_ocr=True))
-
-
 class TestAIIndex(DirectoriesMixin, TestCase):
     @override_settings(
         AI_ENABLED=True,
@@ -448,110 +408,3 @@ class TestAIIndex(DirectoriesMixin, TestCase):
                 rebuild=False,
                 document_ids=doc_ids,
             )
-
-
-class TestApplyAISuggestionsTask(DirectoriesMixin, TestCase):
-    def setUp(self) -> None:
-        super().setUp()
-        self.doc = Document.objects.create(
-            title="doc",
-            content="content",
-            checksum="apply-ai-suggestions",
-        )
-        self.action = WorkflowAction.objects.create(
-            type=WorkflowAction.WorkflowActionType.APPLY_AI_SUGGESTIONS,
-            ai_suggestion_fields=[WorkflowAction.AISuggestionField.TITLE],
-        )
-
-    def test_reindexes_without_sending_document_updated(self) -> None:
-        """
-        GIVEN:
-            - An apply AI suggestions action that changes the document
-        WHEN:
-            - The task runs
-        THEN:
-            - The search index and caches are refreshed directly, deliberately
-              not via the document_updated signal: that re-runs updated
-              workflows, which for this action means queueing another LLM
-              query for a document it just changed, forever
-        """
-        with (
-            mock.patch(
-                "documents.workflows.ai.apply_ai_suggestions_to_document",
-                return_value=["title"],
-            ),
-            mock.patch("documents.tasks.index_document") as index_document,
-            mock.patch("documents.tasks.clear_document_caches") as clear_caches,
-            mock.patch("documents.tasks.document_updated") as document_updated,
-        ):
-            tasks.apply_ai_suggestions(self.action.pk, self.doc.pk)
-
-        index_document.delay.assert_called_once_with(self.doc.pk)
-        clear_caches.assert_called_once_with(self.doc.pk)
-        document_updated.send.assert_not_called()
-
-    def test_no_changes_skips_reindex(self) -> None:
-        """
-        GIVEN:
-            - An apply AI suggestions action that changes nothing
-        WHEN:
-            - The task runs
-        THEN:
-            - No reindexing work is queued
-        """
-        with (
-            mock.patch(
-                "documents.workflows.ai.apply_ai_suggestions_to_document",
-                return_value=[],
-            ),
-            mock.patch("documents.tasks.index_document") as index_document,
-        ):
-            tasks.apply_ai_suggestions(self.action.pk, self.doc.pk)
-
-        index_document.delay.assert_not_called()
-
-    @override_settings(AI_ENABLED=True, LLM_EMBEDDING_BACKEND="huggingface")
-    def test_updates_llm_index_when_enabled(self) -> None:
-        """
-        GIVEN:
-            - An apply AI suggestions action that changes the document
-            - The LLM index is enabled
-        WHEN:
-            - The task runs
-        THEN:
-            - The document is updated in the LLM index too
-        """
-        with (
-            mock.patch(
-                "documents.workflows.ai.apply_ai_suggestions_to_document",
-                return_value=["title"],
-            ),
-            mock.patch("documents.tasks.index_document"),
-            mock.patch(
-                "documents.tasks.update_document_in_llm_index",
-            ) as update_in_llm_index,
-        ):
-            tasks.apply_ai_suggestions(self.action.pk, self.doc.pk)
-
-        update_in_llm_index.apply_async.assert_called_once()
-
-    def test_deleted_document_is_a_noop(self) -> None:
-        """
-        GIVEN:
-            - A document that was deleted between the workflow running and the
-              queued task starting
-        WHEN:
-            - The task runs
-        THEN:
-            - It logs and exits rather than raising
-        """
-        with (
-            mock.patch(
-                "documents.workflows.ai.apply_ai_suggestions_to_document",
-            ) as apply_suggestions,
-            self.assertLogs("paperless.tasks", level="WARNING") as cm,
-        ):
-            tasks.apply_ai_suggestions(self.action.pk, self.doc.pk + 1000)
-
-        apply_suggestions.assert_not_called()
-        self.assertIn("no longer exists", "".join(cm.output))

src/documents/tests/test_workflows.py

@@ -31,10 +31,7 @@ from documents.file_handling import create_source_path_directory
 from documents.file_handling import generate_filename
 from documents.file_handling import generate_unique_filename
 from documents.signals.handlers import run_workflows
-from documents.workflows.ai import apply_ai_suggestions_to_document
 from documents.workflows.webhooks import send_webhook
-from paperless_ai.base_model import ClassificationSuggestions
-from paperless_ai.exceptions import LLMTimeoutError
 
 if TYPE_CHECKING:
     from django.db.models import QuerySet
@@ -5412,560 +5409,3 @@ class TestDateWorkflowLocalization(
             document = Document.objects.first()
             assert document is not None
             assert document.title == expected_title
-
-
-class TestRemoteOCRWorkflowAction(DirectoriesMixin, SampleDirMixin, APITestCase):
-    def _make_workflow(self, trigger_type) -> None:
-        trigger = WorkflowTrigger.objects.create(type=trigger_type)
-        action = WorkflowAction.objects.create(
-            type=WorkflowAction.WorkflowActionType.REMOTE_OCR,
-        )
-        w = Workflow.objects.create(name="Remote OCR", order=0)
-        w.triggers.add(trigger)
-        w.actions.add(action)
-        w.save()
-
-    def test_consumption_trigger_requests_remote_ocr(self) -> None:
-        """
-        GIVEN:
-            - A consumption workflow with a remote OCR action
-        WHEN:
-            - A matching document is consumed
-        THEN:
-            - The overrides ask for remote OCR, which is what the consumer
-              reads when choosing a parser
-        """
-        self._make_workflow(WorkflowTrigger.WorkflowTriggerType.CONSUMPTION)
-
-        test_file = shutil.copy(
-            self.SAMPLE_DIR / "simple.pdf",
-            self.dirs.scratch_dir / "simple.pdf",
-        )
-        overrides = DocumentMetadataOverrides()
-
-        run_workflows(
-            WorkflowTrigger.WorkflowTriggerType.CONSUMPTION,
-            ConsumableDocument(
-                source=DocumentSource.ConsumeFolder,
-                original_file=test_file,
-            ),
-            overrides=overrides,
-        )
-
-        self.assertTrue(overrides.remote_ocr)
-
-    def test_other_trigger_types_are_ignored(self) -> None:
-        """
-        GIVEN:
-            - A workflow with a remote OCR action that also has a
-              non-consumption trigger, which is a valid combination
-        WHEN:
-            - The non-consumption trigger fires
-        THEN:
-            - The action is skipped, since the document has already been
-              parsed by this point
-        """
-        trigger = WorkflowTrigger.objects.create(
-            type=WorkflowTrigger.WorkflowTriggerType.CONSUMPTION,
-        )
-        updated_trigger = WorkflowTrigger.objects.create(
-            type=WorkflowTrigger.WorkflowTriggerType.DOCUMENT_UPDATED,
-        )
-        action = WorkflowAction.objects.create(
-            type=WorkflowAction.WorkflowActionType.REMOTE_OCR,
-        )
-        w = Workflow.objects.create(name="Remote OCR", order=0)
-        w.triggers.add(trigger, updated_trigger)
-        w.actions.add(action)
-        w.save()
-
-        doc = Document.objects.create(
-            title="sample test",
-            original_filename="sample.pdf",
-        )
-
-        with self.assertLogs("paperless.handlers", level="DEBUG") as cm:
-            run_workflows(
-                WorkflowTrigger.WorkflowTriggerType.DOCUMENT_UPDATED,
-                doc,
-            )
-
-        self.assertIn("only applies to consumption triggers", "".join(cm.output))
-
-
-SUGGESTIONS: ClassificationSuggestions = {
-    "title": "Suggested Title",
-    "tags": {
-        "existing_ids": [],
-        "new_names": ["Existing Tag", "Suggested Tag"],
-    },
-    "correspondents": {
-        "existing_ids": [],
-        "new_names": ["Existing Correspondent", "Suggested Correspondent"],
-    },
-    "document_types": {
-        "existing_ids": [],
-        "new_names": ["Suggested Document Type"],
-    },
-    "storage_paths": {
-        "existing_ids": [],
-        "new_names": ["Suggested Storage Path"],
-    },
-    "dates": ["2024-03-05"],
-}
-
-ALL_SUGGESTION_FIELDS = [
-    WorkflowAction.AISuggestionField.TITLE,
-    WorkflowAction.AISuggestionField.TAGS,
-    WorkflowAction.AISuggestionField.CORRESPONDENT,
-    WorkflowAction.AISuggestionField.DOCUMENT_TYPE,
-    WorkflowAction.AISuggestionField.STORAGE_PATH,
-    WorkflowAction.AISuggestionField.CREATED,
-]
-
-
-@override_settings(AI_ENABLED=True)
-class TestApplyAISuggestionsWorkflowAction(
-    DirectoriesMixin,
-    SampleDirMixin,
-    APITestCase,
-):
-    def setUp(self) -> None:
-        super().setUp()
-        self.user = User.objects.create(username="ai-user")
-        self.doc = Document.objects.create(
-            title="original.pdf",
-            content="the document content",
-            checksum="ai-suggestions-checksum",
-            mime_type="application/pdf",
-            created=datetime.date(2020, 1, 1),
-            owner=self.user,
-        )
-
-    def make_action(self, **kwargs) -> WorkflowAction:
-        return WorkflowAction.objects.create(
-            type=WorkflowAction.WorkflowActionType.APPLY_AI_SUGGESTIONS,
-            ai_suggestion_fields=kwargs.pop(
-                "ai_suggestion_fields",
-                ALL_SUGGESTION_FIELDS,
-            ),
-            **kwargs,
-        )
-
-    def make_workflow(self, action: WorkflowAction, trigger_type) -> Workflow:
-        trigger = WorkflowTrigger.objects.create(type=trigger_type)
-        w = Workflow.objects.create(name="Apply AI suggestions", order=0)
-        w.triggers.add(trigger)
-        w.actions.add(action)
-        w.save()
-        return w
-
-    def apply(
-        self,
-        action: WorkflowAction,
-        suggestions: ClassificationSuggestions = SUGGESTIONS,
-    ) -> list[str]:
-        with mock.patch(
-            "documents.workflows.ai.get_ai_document_classification",
-            return_value=suggestions,
-        ):
-            changed = apply_ai_suggestions_to_document(action, self.doc)
-        self.doc.refresh_from_db()
-        return changed
-
-    def test_document_added_trigger_queues_task(self) -> None:
-        """
-        GIVEN:
-            - A document added workflow with an apply AI suggestions action
-        WHEN:
-            - A matching document is added
-        THEN:
-            - The work is queued rather than run inline, so a slow LLM query
-              cannot stall the rest of the workflow run
-        """
-        action = self.make_action()
-        self.make_workflow(action, WorkflowTrigger.WorkflowTriggerType.DOCUMENT_ADDED)
-
-        with mock.patch("documents.tasks.apply_ai_suggestions.delay") as delay:
-            run_workflows(
-                WorkflowTrigger.WorkflowTriggerType.DOCUMENT_ADDED,
-                self.doc,
-            )
-
-        delay.assert_called_once_with(action_id=action.pk, document_id=self.doc.pk)
-
-    def test_consumption_trigger_is_ignored(self) -> None:
-        """
-        GIVEN:
-            - A workflow with an apply AI suggestions action and a consumption
-              trigger alongside a valid one
-        WHEN:
-            - The consumption trigger fires
-        THEN:
-            - The action is skipped, since the document has not been parsed
-              yet and so has no content to make suggestions from
-        """
-        action = self.make_action()
-        w = self.make_workflow(
-            action,
-            WorkflowTrigger.WorkflowTriggerType.DOCUMENT_ADDED,
-        )
-        w.triggers.add(
-            WorkflowTrigger.objects.create(
-                type=WorkflowTrigger.WorkflowTriggerType.CONSUMPTION,
-            ),
-        )
-
-        test_file = shutil.copy(
-            self.SAMPLE_DIR / "simple.pdf",
-            self.dirs.scratch_dir / "simple.pdf",
-        )
-
-        with (
-            mock.patch("documents.tasks.apply_ai_suggestions.delay") as delay,
-            self.assertLogs("paperless.handlers", level="DEBUG") as cm,
-        ):
-            run_workflows(
-                WorkflowTrigger.WorkflowTriggerType.CONSUMPTION,
-                ConsumableDocument(
-                    source=DocumentSource.ConsumeFolder,
-                    original_file=test_file,
-                ),
-                overrides=DocumentMetadataOverrides(),
-            )
-
-        delay.assert_not_called()
-        self.assertIn("does not apply to consumption triggers", "".join(cm.output))
-
-    def test_no_selected_fields_does_nothing(self) -> None:
-        """
-        GIVEN:
-            - An action with no suggestion fields selected
-        WHEN:
-            - The action is applied
-        THEN:
-            - Nothing is changed and it is logged
-        """
-        action = self.make_action(ai_suggestion_fields=[])
-
-        with self.assertLogs("paperless.workflows.ai", level="WARNING") as cm:
-            changed = self.apply(action)
-
-        self.assertEqual(changed, [])
-        self.assertIn("no AI suggestion fields selected", "".join(cm.output))
-
-    @override_settings(AI_ENABLED=False)
-    def test_ai_disabled_does_nothing(self) -> None:
-        """
-        GIVEN:
-            - An action on an install where AI has since been disabled
-        WHEN:
-            - The action is applied
-        THEN:
-            - Nothing is changed and it is logged
-        """
-        action = self.make_action()
-
-        with self.assertLogs("paperless.workflows.ai", level="ERROR") as cm:
-            changed = self.apply(action)
-
-        self.assertEqual(changed, [])
-        self.assertIn("AI is not enabled", "".join(cm.output))
-
-    def test_invalid_configuration_leaves_document_untouched(self) -> None:
-        """
-        GIVEN:
-            - An AI backend that is misconfigured
-        WHEN:
-            - The action is applied
-        THEN:
-            - The failure is logged and the document is left alone. It is not
-              re-raised, because retrying will not fix a bad configuration
-        """
-        action = self.make_action()
-
-        with (
-            mock.patch(
-                "documents.workflows.ai.get_ai_document_classification",
-                side_effect=ValueError("nope"),
-            ),
-            self.assertLogs("paperless.workflows.ai", level="ERROR") as cm,
-        ):
-            changed = apply_ai_suggestions_to_document(action, self.doc)
-
-        self.assertEqual(changed, [])
-        self.doc.refresh_from_db()
-        self.assertEqual(self.doc.title, "original.pdf")
-        self.assertIn("Invalid AI configuration", "".join(cm.output))
-
-    def test_transient_llm_failure_is_raised_for_retry(self) -> None:
-        """
-        GIVEN:
-            - An LLM backend that times out, or rate limits the request
-        WHEN:
-            - The action is applied
-        THEN:
-            - The error propagates so the queued task can back off and retry,
-              rather than silently dropping this document's suggestions
-        """
-        action = self.make_action()
-
-        with (
-            mock.patch(
-                "documents.workflows.ai.get_ai_document_classification",
-                side_effect=LLMTimeoutError(),
-            ),
-            self.assertRaises(LLMTimeoutError),
-        ):
-            apply_ai_suggestions_to_document(action, self.doc)
-
-        self.doc.refresh_from_db()
-        self.assertEqual(self.doc.title, "original.pdf")
-
-    def test_only_matching_objects_are_applied(self) -> None:
-        """
-        GIVEN:
-            - An action without create missing, and only some of the suggested
-              objects existing
-        WHEN:
-            - The action is applied
-        THEN:
-            - Only the existing objects are assigned, unmatched suggestions are
-              dropped rather than creating anything
-        """
-        tag = Tag.objects.create(name="Existing Tag", owner=self.user)
-        correspondent = Correspondent.objects.create(
-            name="Existing Correspondent",
-            owner=self.user,
-        )
-        action = self.make_action(ai_overwrite_existing=True)
-
-        changed = self.apply(action)
-
-        self.assertEqual(self.doc.correspondent, correspondent)
-        self.assertEqual(list(self.doc.tags.all()), [tag])
-        # Nothing matched for these and create missing is off
-        self.assertIsNone(self.doc.document_type)
-        self.assertIsNone(self.doc.storage_path)
-        self.assertNotIn("document_type", changed)
-        self.assertEqual(Tag.objects.count(), 1)
-        self.assertEqual(Correspondent.objects.count(), 1)
-
-    def test_existing_id_suggestions_are_applied(self) -> None:
-        """
-        GIVEN:
-            - AI suggestions that select existing taxonomy candidates by ID
-        WHEN:
-            - The suggestions are applied
-        THEN:
-            - Each selected object is assigned to the document
-        """
-        tag = Tag.objects.create(name="Existing Tag", owner=self.user)
-        correspondent = Correspondent.objects.create(
-            name="Existing Correspondent",
-            owner=self.user,
-        )
-        document_type = DocumentType.objects.create(
-            name="Existing Document Type",
-            owner=self.user,
-        )
-        storage_path = StoragePath.objects.create(
-            name="Existing Storage Path",
-            path="{{ title }}",
-            owner=self.user,
-        )
-        action = self.make_action(ai_overwrite_existing=True)
-        suggestions: ClassificationSuggestions = {
-            **SUGGESTIONS,
-            "tags": {"existing_ids": [tag.pk], "new_names": []},
-            "correspondents": {
-                "existing_ids": [correspondent.pk],
-                "new_names": [],
-            },
-            "document_types": {
-                "existing_ids": [document_type.pk],
-                "new_names": [],
-            },
-            "storage_paths": {
-                "existing_ids": [storage_path.pk],
-                "new_names": [],
-            },
-        }
-
-        changed = self.apply(action, suggestions)
-
-        self.assertEqual(list(self.doc.tags.all()), [tag])
-        self.assertEqual(self.doc.correspondent, correspondent)
-        self.assertEqual(self.doc.document_type, document_type)
-        self.assertEqual(self.doc.storage_path, storage_path)
-        self.assertTrue(
-            {"tags", "correspondent", "document_type", "storage_path"} <= set(changed),
-        )
-
-    def test_create_missing_creates_objects_owned_by_document_owner(self) -> None:
-        """
-        GIVEN:
-            - An action with create missing enabled
-        WHEN:
-            - The action is applied and suggestions match nothing
-        THEN:
-            - Tags, correspondents and document types are created, owned by the
-              document owner so they stay private to them
-            - Storage paths are never created, since a path template cannot be
-              inferred from a name
-        """
-        action = self.make_action(
-            ai_create_missing=True,
-            ai_overwrite_existing=True,
-        )
-
-        changed = self.apply(action)
-
-        self.assertEqual(
-            sorted(t.name for t in self.doc.tags.all()),
-            ["Existing Tag", "Suggested Tag"],
-        )
-        self.assertEqual(self.doc.correspondent.name, "Existing Correspondent")
-        self.assertEqual(self.doc.correspondent.owner, self.user)
-        self.assertEqual(self.doc.document_type.name, "Suggested Document Type")
-        self.assertEqual(self.doc.document_type.owner, self.user)
-
-        self.assertIsNone(self.doc.storage_path)
-        self.assertFalse(StoragePath.objects.exists())
-        self.assertNotIn("storage_path", changed)
-
-    def test_overwrite_disabled_keeps_existing_values(self) -> None:
-        """
-        GIVEN:
-            - An action without overwrite existing
-            - A document that already has a title, created date and
-              correspondent
-        WHEN:
-            - The action is applied
-        THEN:
-            - The existing values are kept, only the empty document type is
-              filled in
-        """
-        existing = Correspondent.objects.create(name="Mine", owner=self.user)
-        self.doc.correspondent = existing
-        self.doc.save()
-        action = self.make_action(ai_create_missing=True)
-
-        changed = self.apply(action)
-
-        self.assertEqual(self.doc.title, "original.pdf")
-        self.assertEqual(self.doc.created, datetime.date(2020, 1, 1))
-        self.assertEqual(self.doc.correspondent, existing)
-        self.assertEqual(self.doc.document_type.name, "Suggested Document Type")
-        self.assertNotIn("title", changed)
-        self.assertNotIn("correspondent", changed)
-
-    def test_overwrite_enabled_replaces_existing_values(self) -> None:
-        """
-        GIVEN:
-            - An action with overwrite existing
-            - A document that already has a title and created date
-        WHEN:
-            - The action is applied
-        THEN:
-            - The suggested values replace them
-        """
-        action = self.make_action(
-            ai_create_missing=True,
-            ai_overwrite_existing=True,
-        )
-
-        changed = self.apply(action)
-
-        self.assertEqual(self.doc.title, "Suggested Title")
-        self.assertEqual(self.doc.created, datetime.date(2024, 3, 5))
-        self.assertIn("title", changed)
-        self.assertIn("created", changed)
-
-    def test_tags_are_added_not_replaced(self) -> None:
-        """
-        GIVEN:
-            - A document that already has a tag unrelated to the suggestions
-        WHEN:
-            - The action is applied with overwrite existing enabled
-        THEN:
-            - The existing tag is kept, since suggested tags are always
-              additive regardless of the overwrite setting
-        """
-        kept = Tag.objects.create(name="Do Not Remove", owner=self.user)
-        self.doc.tags.add(kept)
-        Tag.objects.create(name="Existing Tag", owner=self.user)
-        action = self.make_action(ai_overwrite_existing=True)
-
-        self.apply(action)
-
-        self.assertEqual(
-            sorted(t.name for t in self.doc.tags.all()),
-            ["Do Not Remove", "Existing Tag"],
-        )
-
-    def test_unselected_fields_are_untouched(self) -> None:
-        """
-        GIVEN:
-            - An action that only selects the title
-        WHEN:
-            - The action is applied
-        THEN:
-            - Only the title changes, even though the LLM suggested everything
-        """
-        action = self.make_action(
-            ai_suggestion_fields=[WorkflowAction.AISuggestionField.TITLE],
-            ai_create_missing=True,
-            ai_overwrite_existing=True,
-        )
-
-        changed = self.apply(action)
-
-        self.assertEqual(changed, ["title"])
-        self.assertEqual(self.doc.title, "Suggested Title")
-        self.assertEqual(self.doc.tags.count(), 0)
-        self.assertIsNone(self.doc.correspondent)
-        self.assertEqual(self.doc.created, datetime.date(2020, 1, 1))
-
-    def test_another_users_private_objects_are_not_matched(self) -> None:
-        """
-        GIVEN:
-            - A suggested tag name that exists, but is owned by someone else
-        WHEN:
-            - The action is applied
-        THEN:
-            - It is not assigned, because the document owner cannot see it
-        """
-        other = User.objects.create(username="someone-else")
-        Tag.objects.create(name="Existing Tag", owner=other)
-        action = self.make_action(
-            ai_suggestion_fields=[WorkflowAction.AISuggestionField.TAGS],
-        )
-
-        self.apply(action)
-
-        self.assertEqual(self.doc.tags.count(), 0)
-
-    def test_unparsable_dates_are_skipped(self) -> None:
-        """
-        GIVEN:
-            - Suggested dates that are not all valid
-        WHEN:
-            - The action is applied
-        THEN:
-            - The first usable date is applied and the rest ignored
-        """
-        action = self.make_action(
-            ai_suggestion_fields=[WorkflowAction.AISuggestionField.CREATED],
-            ai_overwrite_existing=True,
-        )
-
-        with mock.patch(
-            "documents.workflows.ai.get_ai_document_classification",
-            return_value={**SUGGESTIONS, "dates": ["not a date", "2019-07-04"]},
-        ):
-            changed = apply_ai_suggestions_to_document(action, self.doc)
-
-        self.doc.refresh_from_db()
-        self.assertEqual(changed, ["created"])
-        self.assertEqual(self.doc.created, datetime.date(2019, 7, 4))

src/documents/versioning.py

@@ -43,21 +43,6 @@ def annotate_effective_content(documents: QuerySet[Document]) -> QuerySet[Docume
     )
 
 
-def ensure_effective_content(documents: QuerySet[Document]) -> QuerySet[Document]:
-    """
-    Annotates effective_content unless the queryset already carries it.
-
-    Lets a filter depend on effective_content without having to assume its
-    caller annotated one -- annotating twice under the same alias is an error,
-    and silently matching on the root document's own content instead is worse,
-    because the same filter then selects different documents depending on which
-    queryset it was handed.
-    """
-    if "effective_content" in documents.query.annotations:
-        return documents
-    return annotate_effective_content(documents)
-
-
 def sort_versions_newest_first(documents: list[Document]) -> list[Document]:
     """
     Same sorting as versions_newest_first()

src/documents/views.py

@@ -230,7 +230,6 @@ from documents.tasks import train_classifier
 from documents.tasks import update_document_parent_tags
 from documents.utils import get_boolean
 from documents.versioning import VersionResolutionError
-from documents.versioning import annotate_effective_content
 from documents.versioning import get_latest_version_for_root
 from documents.versioning import get_request_version_param
 from documents.versioning import get_root_document
@@ -240,15 +239,12 @@ from paperless import version
 from paperless.celery import app as celery_app
 from paperless.config import AIConfig
 from paperless.config import GeneralConfig
-from paperless.config import RemoteOCRConfig
 from paperless.models import ApplicationConfiguration
 from paperless.parsers.registry import get_parser_registry
-from paperless.parsers.remote import RemoteEngineConfig
 from paperless.serialisers import GroupSerializer
 from paperless.serialisers import UserSerializer
 from paperless.views import StandardPagination
 from paperless_ai.ai_classifier import get_ai_document_classification
-from paperless_ai.ai_classifier import get_llm_output_language
 from paperless_ai.chat import stream_chat_with_documents
 from paperless_ai.exceptions import LLMTimeoutError
 from paperless_ai.matching import extract_unmatched_names
@@ -667,6 +663,20 @@ class TagViewSet(PermissionsAwareDocumentCountMixin, ModelViewSet[Tag]):
             update_document_parent_tags(tag, new_parent)
 
 
+def _get_llm_output_language(ai_config: AIConfig, request) -> str | None:
+    output_language = ai_config.llm_output_language
+    if (
+        not output_language
+        and hasattr(request.user, "ui_settings")
+        and isinstance(
+            request.user.ui_settings.settings,
+            dict,
+        )
+    ):
+        output_language = request.user.ui_settings.settings.get("language")
+    return output_language
+
+
 @extend_schema_view(**generate_object_with_permissions_schema(DocumentTypeSerializer))
 class DocumentTypeViewSet(
     PermissionsAwareDocumentCountMixin,
@@ -1121,8 +1131,7 @@ class DocumentViewSet(
                     "custom_fields",
                     queryset=CustomFieldInstance.objects.select_related("field"),
                 ),
-                # NotesSerializer nests the author, this avoids query per note
-                Prefetch("notes", queryset=Note.objects.select_related("user")),
+                "notes",
             )
         )
 
@@ -1530,10 +1539,7 @@ class DocumentViewSet(
         if not ai_config.ai_enabled:
             return HttpResponseBadRequest("AI is required for this feature")
 
-        output_language = get_llm_output_language(
-            ai_config=ai_config,
-            user=request.user,
-        )
+        output_language = _get_llm_output_language(ai_config=ai_config, request=request)
         llm_cache_backend = ":".join(
             part
             for part in (
@@ -2322,10 +2328,7 @@ class ChatStreamingView(GenericAPIView[Any]):
                 id__in=permitted_document_ids(request.user),
             )
 
-        output_language = get_llm_output_language(
-            ai_config=ai_config,
-            user=request.user,
-        )
+        output_language = _get_llm_output_language(ai_config=ai_config, request=request)
 
         response = StreamingHttpResponse(
             stream_chat_with_documents(
@@ -2789,11 +2792,8 @@ class DocumentSelectionMixin:
             for key, value in filters.items()
             if key not in _TANTIVY_SEARCH_PARAM_NAMES
         }
-        # Operations are addressed to roots, a caller that wants
-        # to act on a specific version passes its id explicitly instead
         permitted_documents = Document.objects.filter(
             id__in=permitted_document_ids(user),
-            root_document__isnull=True,
         )
         # orm-filtered docs
         filtered_documents = DocumentFilterSet(
@@ -3614,13 +3614,8 @@ class GlobalSearchView(PassUserMixin):
         OBJECT_LIMIT = 3
         docs = []
         if request.user.has_perm("documents.view_document"):
-            # Never more than OBJECT_LIMIT rows come back here, so annotating
-            # is cheap -- and without it these results show the root
-            # document's superseded content.
-            all_docs = annotate_effective_content(
-                Document.objects.filter(
-                    id__in=permitted_document_ids(request.user),
-                ),
+            all_docs = Document.objects.filter(
+                id__in=permitted_document_ids(request.user),
             )
             if db_only:
                 docs = all_docs.filter(title__icontains=query)[:OBJECT_LIMIT]
@@ -4105,11 +4100,6 @@ class UiSettingsView(GenericAPIView[Any]):
 
         ui_settings["auditlog_enabled"] = settings.AUDIT_LOG_ENABLED
 
-        ui_settings["remote_ocr"] = {
-            "configured": RemoteEngineConfig.from_app_config().engine_is_valid(),
-            "mode": RemoteOCRConfig().remote_ocr_mode,
-        }
-
         if settings.GMAIL_OAUTH_ENABLED or settings.OUTLOOK_OAUTH_ENABLED:
             manager = PaperlessMailOAuth2Manager()
             if settings.GMAIL_OAUTH_ENABLED:

src/documents/workflows/ai.py

@@ -1,259 +0,0 @@
-import logging
-from datetime import date
-from datetime import datetime
-from typing import TypeVar
-
-from django.contrib.auth.models import User
-
-from documents.models import Correspondent
-from documents.models import Document
-from documents.models import DocumentType
-from documents.models import MatchingModel
-from documents.models import StoragePath
-from documents.models import Tag
-from documents.models import WorkflowAction
-from paperless.config import AIConfig
-from paperless_ai.ai_classifier import get_ai_document_classification
-from paperless_ai.ai_classifier import get_llm_output_language
-from paperless_ai.matching import extract_unmatched_names
-from paperless_ai.matching import match_correspondents_by_name
-from paperless_ai.matching import match_document_types_by_name
-from paperless_ai.matching import match_storage_paths_by_name
-from paperless_ai.matching import match_tags_by_name
-from paperless_ai.matching import resolve_correspondent_ids
-from paperless_ai.matching import resolve_document_type_ids
-from paperless_ai.matching import resolve_storage_path_ids
-from paperless_ai.matching import resolve_tag_ids
-
-logger = logging.getLogger("paperless.workflows.ai")
-
-AISuggestionField = WorkflowAction.AISuggestionField
-ObjT = TypeVar("ObjT", bound=MatchingModel)
-
-# Tags use m2m relation instead
-DIRECT_FIELDS: dict[str, str] = {
-    AISuggestionField.TITLE: "title",
-    AISuggestionField.CORRESPONDENT: "correspondent",
-    AISuggestionField.DOCUMENT_TYPE: "document_type",
-    AISuggestionField.STORAGE_PATH: "storage_path",
-    AISuggestionField.CREATED: "created",
-}
-
-
-def resolve_date(dates: list[str]) -> date | None:
-    """
-    First usable date out of the suggestions, which are expected as
-    YYYY-MM-DD. Document.created is a DateField, so only one can be applied.
-    """
-    for value in dates:
-        try:
-            return datetime.strptime(value, "%Y-%m-%d").date()
-        except (TypeError, ValueError):
-            logger.debug("Ignoring unparsable suggested date %s", value)
-    return None
-
-
-def resolve_object(
-    model: type[ObjT],
-    names: list[str],
-    matched: list[ObjT],
-    *,
-    create_missing: bool,
-    owner: User | None,
-) -> ObjT | None:
-    """
-    Single object from a suggestion list. The best match if there was one, else
-    optionally a newly-created object. StoragePaths are excluded.
-    """
-    if matched:
-        return matched[0]
-
-    if not create_missing or model is StoragePath:
-        return None
-
-    unmatched = extract_unmatched_names(names, matched)
-    if not unmatched:
-        return None
-
-    # (name, owner) is what MatchingModel is unique on
-    obj, created = model.objects.get_or_create(
-        name=unmatched[0][:128],
-        owner=owner,
-    )
-    if created:
-        logger.info("Created %s '%s' from AI suggestion", model.__name__, obj.name)
-    return obj
-
-
-def resolve_tags(
-    names: list[str],
-    matched: list[Tag],
-    *,
-    create_missing: bool,
-    owner: User | None,
-) -> list[Tag]:
-    """
-    Matched tags, plus newly created ones if create_missing is set.
-    """
-    tags = list(matched)
-    if not create_missing:
-        return tags
-
-    for name in extract_unmatched_names(names, matched):
-        tag, created = Tag.objects.get_or_create(
-            name=name[:128],
-            owner=owner,
-        )
-        if created:
-            logger.info("Created tag '%s' from AI suggestion", tag.name)
-        tags.append(tag)
-    return tags
-
-
-def apply_ai_suggestions_to_document(
-    action: WorkflowAction,
-    document: Document,
-    logging_group=None,
-) -> list[str]:
-    """
-    Get suggestions about `document` and write the chosen fields.
-
-    Returns the names of the fields that were actually changed.
-    """
-    selected = set(action.ai_suggestion_fields or [])
-    if not selected:
-        logger.warning(
-            "Workflow action %s has no AI suggestion fields selected, skipping",
-            action.pk,
-            extra={"group": logging_group},
-        )
-        return []
-
-    ai_config = AIConfig()
-    if not ai_config.ai_enabled:
-        logger.error(
-            "AI is not enabled, cannot apply AI suggestions for document %s",
-            document.pk,
-            extra={"group": logging_group},
-        )
-        return []
-
-    # Workflows run without a user, so we use the document owner
-    owner = document.owner
-
-    try:
-        suggestions = get_ai_document_classification(
-            document,
-            owner,
-            get_llm_output_language(ai_config, owner),
-        )
-    except ValueError:
-        # A bad AI config will not fix itself, so swallow it rather than
-        # letting the caller retry. Timeouts, rate limits, network errors etc
-        # propagate so the queued task can back off and try again.
-        logger.exception(
-            "Invalid AI configuration, cannot get suggestions for document %s",
-            document.pk,
-            extra={"group": logging_group},
-        )
-        return []
-
-    overwrite = action.ai_overwrite_existing
-    create_missing = action.ai_create_missing
-    updated_fields: list[str] = []
-
-    def should_set(field: str) -> bool:
-        # The field is selected and (overwrite or it's empty)
-        return field in selected and (
-            overwrite or getattr(document, DIRECT_FIELDS[field]) in (None, "")
-        )
-
-    if should_set(AISuggestionField.TITLE):
-        title = suggestions["title"].strip()
-        if title:
-            # title is capped at 128 characters
-            document.title = title[:128]
-            updated_fields.append("title")
-
-    if should_set(AISuggestionField.CORRESPONDENT):
-        choice = suggestions["correspondents"]
-        names = choice["new_names"]
-        correspondent = resolve_object(
-            Correspondent,
-            names,
-            resolve_correspondent_ids(choice["existing_ids"], owner)
-            + match_correspondents_by_name(names, owner),
-            create_missing=create_missing,
-            owner=owner,
-        )
-        if correspondent:
-            document.correspondent = correspondent
-            updated_fields.append("correspondent")
-
-    if should_set(AISuggestionField.DOCUMENT_TYPE):
-        choice = suggestions["document_types"]
-        names = choice["new_names"]
-        document_type = resolve_object(
-            DocumentType,
-            names,
-            resolve_document_type_ids(choice["existing_ids"], owner)
-            + match_document_types_by_name(names, owner),
-            create_missing=create_missing,
-            owner=owner,
-        )
-        if document_type:
-            document.document_type = document_type
-            updated_fields.append("document_type")
-
-    if should_set(AISuggestionField.STORAGE_PATH):
-        choice = suggestions["storage_paths"]
-        names = choice["new_names"]
-        storage_path = resolve_object(
-            StoragePath,
-            names,
-            resolve_storage_path_ids(choice["existing_ids"], owner)
-            + match_storage_paths_by_name(names, owner),
-            create_missing=create_missing,
-            owner=owner,
-        )
-        if storage_path:
-            document.storage_path = storage_path
-            updated_fields.append("storage_path")
-
-    if should_set(AISuggestionField.CREATED):
-        created = resolve_date(suggestions["dates"])
-        if created:
-            document.created = created
-            updated_fields.append("created")
-
-    if AISuggestionField.TAGS in selected:
-        choice = suggestions["tags"]
-        names = choice["new_names"]
-        tags = resolve_tags(
-            names,
-            resolve_tag_ids(choice["existing_ids"], owner)
-            + match_tags_by_name(names, owner),
-            create_missing=create_missing,
-            owner=owner,
-        )
-        if tags:
-            # Suggested tags are always added, so overwrite_existing
-            # does not really apply here
-            document.add_nested_tags(tags)
-            updated_fields.append("tags")
-
-    if updated_fields:
-        # save fields and update modified (excluding m2m tags from update_fields)
-        direct_updated_fields = [
-            field for field in updated_fields if field in DIRECT_FIELDS.values()
-        ]
-        document.save(update_fields=[*direct_updated_fields, "modified"])
-
-    logger.info(
-        "Applied AI suggestions %s to document %s",
-        updated_fields or "(none)",
-        document.pk,
-        extra={"group": logging_group},
-    )
-
-    return updated_fields

src/paperless/checks.py

@@ -337,6 +337,20 @@ def check_deprecated_v2_ocr_env_vars(
     return warnings
 
 
+@register()
+def check_remote_parser_configured(app_configs: Any, **kwargs: Any) -> list[Error]:
+    if settings.REMOTE_OCR_ENGINE == "azureai" and not (
+        settings.REMOTE_OCR_ENDPOINT and settings.REMOTE_OCR_API_KEY
+    ):
+        return [
+            Error(
+                "Azure AI remote parser requires endpoint and API key to be configured.",
+            ),
+        ]
+
+    return []
+
+
 def get_tesseract_langs():
     proc = subprocess.run(
         [shutil.which("tesseract"), "--list-langs"],

src/paperless/config.py

@@ -9,7 +9,6 @@ from paperless.models import CleanChoices
 from paperless.models import ColorConvertChoices
 from paperless.models import ModeChoices
 from paperless.models import OutputTypeChoices
-from paperless.models import RemoteOCRMode
 
 
 @dataclasses.dataclass
@@ -186,45 +185,6 @@ class GeneralConfig(BaseConfig):
         self.app_logo = app_config.app_logo.url if app_config.app_logo else None
 
 
-@dataclasses.dataclass
-class RemoteOCRConfig(BaseConfig):
-    """
-    Settings for the remote (cloud) OCR parser
-    """
-
-    remote_ocr_engine: str | None = dataclasses.field(init=False)
-    remote_ocr_api_key: str | None = dataclasses.field(init=False)
-    remote_ocr_endpoint: str | None = dataclasses.field(init=False)
-    remote_ocr_mode: RemoteOCRMode = dataclasses.field(init=False)
-
-    def __post_init__(self) -> None:
-        app_config = self._get_config_instance()
-
-        self.remote_ocr_engine = (
-            app_config.remote_ocr_engine or settings.REMOTE_OCR_ENGINE
-        )
-        self.remote_ocr_api_key = (
-            app_config.remote_ocr_api_key or settings.REMOTE_OCR_API_KEY
-        )
-        self.remote_ocr_endpoint = (
-            app_config.remote_ocr_endpoint or settings.REMOTE_OCR_ENDPOINT
-        )
-        self.remote_ocr_mode = app_config.remote_ocr_mode or RemoteOCRMode(
-            settings.REMOTE_OCR_MODE,
-        )
-
-    @property
-    def remote_ocr_by_default(self) -> bool:
-        """
-        Whether every supported document goes to the remote engine.
-
-        When False the remote engine is used only for documents that
-        explicitly asked for it, i.e. a workflow matched during consumption or
-        the user ticked the box when reprocessing.
-        """
-        return self.remote_ocr_mode == RemoteOCRMode.ALWAYS
-
-
 @dataclasses.dataclass
 class AIConfig(BaseConfig):
     """

src/paperless/migrations/0014_applicationconfiguration_remote_ocr_api_key_and_more.py

@@ -1,44 +0,0 @@
-# Generated by Django 5.2.16 on 2026-08-10 14:37
-
-from django.db import migrations
-from django.db import models
-
-
-class Migration(migrations.Migration):
-    dependencies = [
-        ("paperless", "0013_applicationconfiguration_llm_request_timeout"),
-    ]
-
-    operations = [
-        migrations.AddField(
-            model_name="applicationconfiguration",
-            name="remote_ocr_api_key",
-            field=models.CharField(
-                blank=True,
-                max_length=1024,
-                null=True,
-                verbose_name="Sets the remote OCR API key",
-            ),
-        ),
-        migrations.AddField(
-            model_name="applicationconfiguration",
-            name="remote_ocr_endpoint",
-            field=models.CharField(
-                blank=True,
-                max_length=256,
-                null=True,
-                verbose_name="Sets the remote OCR endpoint",
-            ),
-        ),
-        migrations.AddField(
-            model_name="applicationconfiguration",
-            name="remote_ocr_engine",
-            field=models.CharField(
-                blank=True,
-                choices=[("azureai", "Azure AI Document Intelligence")],
-                max_length=32,
-                null=True,
-                verbose_name="Sets the remote OCR engine",
-            ),
-        ),
-    ]

src/paperless/migrations/0015_applicationconfiguration_remote_ocr_mode.py

@@ -1,27 +0,0 @@
-# Generated by Django 5.2.16 on 2026-08-10 15:43
-
-from django.db import migrations
-from django.db import models
-
-
-class Migration(migrations.Migration):
-    dependencies = [
-        ("paperless", "0014_applicationconfiguration_remote_ocr_api_key_and_more"),
-    ]
-
-    operations = [
-        migrations.AddField(
-            model_name="applicationconfiguration",
-            name="remote_ocr_mode",
-            field=models.CharField(
-                blank=True,
-                choices=[
-                    ("always", "All supported documents"),
-                    ("workflow_only", "Only when a workflow enables it"),
-                ],
-                max_length=32,
-                null=True,
-                verbose_name="Sets which documents are sent to the remote OCR engine",
-            ),
-        ),
-    ]

src/paperless/models.py

@@ -74,23 +74,6 @@ class ColorConvertChoices(models.TextChoices):
     CMYK = ("CMYK", _("CMYK"))
 
 
-class RemoteOCREngine(models.TextChoices):
-    """
-    Matches to PAPERLESS_REMOTE_OCR_ENGINE
-    """
-
-    AZURE_AI = ("azureai", _("Azure AI Document Intelligence"))
-
-
-class RemoteOCRMode(models.TextChoices):
-    """
-    Matches to PAPERLESS_REMOTE_OCR_MODE
-    """
-
-    ALWAYS = ("always", _("All supported documents"))
-    WORKFLOW_ONLY = ("workflow_only", _("Only when a workflow enables it"))
-
-
 class LLMEmbeddingBackend(models.TextChoices):
     OPENAI_LIKE = ("openai-like", _("OpenAI-compatible"))
     HUGGINGFACE = ("huggingface", _("Huggingface"))
@@ -303,44 +286,6 @@ class ApplicationConfiguration(AbstractSingletonModel):
         null=True,
     )
 
-    """
-    Settings for the remote OCR parser
-    """
-
-    # PAPERLESS_REMOTE_OCR_ENGINE
-    remote_ocr_engine = models.CharField(
-        verbose_name=_("Sets the remote OCR engine"),
-        blank=True,
-        null=True,
-        max_length=32,
-        choices=RemoteOCREngine.choices,
-    )
-
-    # PAPERLESS_REMOTE_OCR_API_KEY
-    remote_ocr_api_key = models.CharField(
-        verbose_name=_("Sets the remote OCR API key"),
-        blank=True,
-        null=True,
-        max_length=1024,
-    )
-
-    # PAPERLESS_REMOTE_OCR_ENDPOINT
-    remote_ocr_endpoint = models.CharField(
-        verbose_name=_("Sets the remote OCR endpoint"),
-        blank=True,
-        null=True,
-        max_length=256,
-    )
-
-    # PAPERLESS_REMOTE_OCR_MODE
-    remote_ocr_mode = models.CharField(
-        verbose_name=_("Sets which documents are sent to the remote OCR engine"),
-        blank=True,
-        null=True,
-        max_length=32,
-        choices=RemoteOCRMode.choices,
-    )
-
     """
     AI related settings
     """

src/paperless/parsers/__init__.py

@@ -134,11 +134,6 @@ class ParserProtocol(Protocol):
         Author or organisation name.
     url : str
         URL for documentation, source code, or issue tracker.
-
-    Parsers that send document content to a remote service should additionally
-    set ``uses_remote_service = True`` so the registry can exclude them when
-    remote processing has not been requested for a document. The attribute is
-    optional so a parser that omits it is treated as fully local.
     """
 
     # ------------------------------------------------------------------
@@ -150,10 +145,6 @@ class ParserProtocol(Protocol):
     author: str
     url: str
 
-    # NOTE: uses_remote_service is not declared here, the registry reads it
-    # with getattr(cls, ..., False) for backwards-compatibility with existing
-    # parsers
-
     # ------------------------------------------------------------------
     # Class methods
     # ------------------------------------------------------------------

src/paperless/parsers/registry.py

@@ -334,8 +334,6 @@ class ParserRegistry:
         mime_type: str,
         filename: str,
         path: Path | None = None,
-        *,
-        allow_remote: bool = True,
     ) -> type[ParserProtocol] | None:
         """Return the best parser class for the given file, or None.
 
@@ -361,11 +359,6 @@ class ParserRegistry:
         path:
             Optional filesystem path to the file. Forwarded to each
             parser's score method.
-        allow_remote:
-            When False, parsers that declare ``uses_remote_service = True``
-            are excluded from consideration, so a document is never sent to
-            a remote service. Parsers that do not declare the attribute
-            are treated as local and are always considered.
 
         Returns
         -------
@@ -381,13 +374,6 @@ class ParserRegistry:
             if mime_type not in parser_class.supported_mime_types():
                 continue
 
-            if not allow_remote and getattr(
-                parser_class,
-                "uses_remote_service",
-                False,
-            ):
-                continue
-
             score = parser_class.score(mime_type, filename, path)
             if score is None:
                 continue

src/paperless/parsers/remote.py

@@ -61,18 +61,6 @@ class RemoteEngineConfig:
         self.api_key = api_key
         self.endpoint = endpoint
 
-    @classmethod
-    def from_app_config(cls) -> Self:
-        """Build the config from the app config, falling back to the env."""
-        from paperless.config import RemoteOCRConfig
-
-        app_config = RemoteOCRConfig()
-        return cls(
-            engine=app_config.remote_ocr_engine,
-            api_key=app_config.remote_ocr_api_key,
-            endpoint=app_config.remote_ocr_endpoint,
-        )
-
     def engine_is_valid(self) -> bool:
         """Return True when the engine is known and fully configured."""
         return (
@@ -102,9 +90,6 @@ class RemoteDocumentParser:
         Maintainer name.
     url : str
         Issue tracker / source URL.
-    uses_remote_service : bool
-        Content is sent to a remote service, True so that the registry
-        can skip this parser if remote processing was not requested.
     """
 
     name: str = "Paperless-ngx Remote OCR Parser"
@@ -112,8 +97,6 @@ class RemoteDocumentParser:
     author: str = "Paperless-ngx Contributors"
     url: str = "https://github.com/paperless-ngx/paperless-ngx"
 
-    uses_remote_service: bool = True
-
     # ------------------------------------------------------------------
     # Class methods
     # ------------------------------------------------------------------
@@ -162,7 +145,11 @@ class RemoteDocumentParser:
             20 when the remote engine is configured and the MIME type is
             supported, otherwise None.
         """
-        config = RemoteEngineConfig.from_app_config()
+        config = RemoteEngineConfig(
+            engine=settings.REMOTE_OCR_ENGINE,
+            api_key=settings.REMOTE_OCR_API_KEY,
+            endpoint=settings.REMOTE_OCR_ENDPOINT,
+        )
         if not config.engine_is_valid():
             return None
         if mime_type not in _SUPPORTED_MIME_TYPES:
@@ -257,7 +244,11 @@ class RemoteDocumentParser:
             Whether an archive copy is wanted. For PDFs, False skips the
             remote engine and uses locally-extracted text instead.
         """
-        config = RemoteEngineConfig.from_app_config()
+        config = RemoteEngineConfig(
+            engine=settings.REMOTE_OCR_ENGINE,
+            api_key=settings.REMOTE_OCR_API_KEY,
+            endpoint=settings.REMOTE_OCR_ENDPOINT,
+        )
 
         if not config.engine_is_valid():
             logger.warning(

src/paperless/serialisers.py

@@ -219,13 +219,6 @@ class ApplicationConfigurationSerializer(
         allow_null=True,
         max_length=1024,
     )
-    remote_ocr_api_key = ObfuscatedPasswordField(
-        required=False,
-        allow_null=True,
-        max_length=1024,
-    )
-
-    OBFUSCATED_FIELDS = ("llm_api_key", "remote_ocr_api_key")
 
     def run_validation(self, data):
         # Empty strings treated as None to avoid unexpected behavior
@@ -237,13 +230,11 @@ class ApplicationConfigurationSerializer(
             data["language"] = None
         if "llm_output_language" in data and data["llm_output_language"] == "":
             data["llm_output_language"] = None
-        for field in self.OBFUSCATED_FIELDS:
-            if field in data and data[field] is not None:
-                if data[field] == "":
-                    data[field] = None
-                # Not a real value, don't overwrite the stored one
-                elif len(data[field].replace("*", "")) == 0:
-                    del data[field]
+        if "llm_api_key" in data and data["llm_api_key"] is not None:
+            if data["llm_api_key"] == "":
+                data["llm_api_key"] = None
+            elif len(data["llm_api_key"].replace("*", "")) == 0:
+                del data["llm_api_key"]
         return super().run_validation(data)
 
     def update(self, instance, validated_data):

src/paperless/settings/__init__.py

@@ -1203,11 +1203,6 @@ WEBHOOKS_ALLOW_INTERNAL_REQUESTS = get_bool_from_env(
 REMOTE_OCR_ENGINE = os.getenv("PAPERLESS_REMOTE_OCR_ENGINE")
 REMOTE_OCR_API_KEY = os.getenv("PAPERLESS_REMOTE_OCR_API_KEY")
 REMOTE_OCR_ENDPOINT = os.getenv("PAPERLESS_REMOTE_OCR_ENDPOINT")
-REMOTE_OCR_MODE = get_choice_from_env(
-    "PAPERLESS_REMOTE_OCR_MODE",
-    {"always", "workflow_only"},
-    default="always",
-)
 
 ################################################################################
 # AI Settings                                                                  #

src/paperless/tests/parsers/conftest.py

@@ -114,26 +114,7 @@ def remote_parser() -> Generator[RemoteDocumentParser, None, None]:
 
 
 @pytest.fixture()
-def empty_remote_ocr_app_config(mocker: MockerFixture) -> MagicMock:
-    # empty app config without accessing db
-    app_config = mocker.MagicMock(
-        remote_ocr_engine=None,
-        remote_ocr_api_key=None,
-        remote_ocr_endpoint=None,
-        remote_ocr_mode=None,
-    )
-    mocker.patch(
-        "paperless.config.BaseConfig._get_config_instance",
-        return_value=app_config,
-    )
-    return app_config
-
-
-@pytest.fixture()
-def azure_settings(
-    settings: SettingsWrapper,
-    empty_remote_ocr_app_config: MagicMock,
-) -> SettingsWrapper:
+def azure_settings(settings: SettingsWrapper) -> SettingsWrapper:
     """Configure Django settings for a valid Azure AI OCR engine.
 
     Sets ``REMOTE_OCR_ENGINE``, ``REMOTE_OCR_API_KEY``, and
@@ -152,10 +133,7 @@ def azure_settings(
 
 
 @pytest.fixture()
-def no_engine_settings(
-    settings: SettingsWrapper,
-    empty_remote_ocr_app_config: MagicMock,
-) -> SettingsWrapper:
+def no_engine_settings(settings: SettingsWrapper) -> SettingsWrapper:
     """Configure Django settings with no remote engine configured.
 
     Returns

src/paperless/tests/parsers/test_remote_parser.py

@@ -21,7 +21,6 @@ from unittest.mock import Mock
 import pytest
 
 from documents.parsers import ParseError
-from paperless.models import ApplicationConfiguration
 from paperless.parsers import ParserContext
 from paperless.parsers import ParserProtocol
 from paperless.parsers.remote import RemoteDocumentParser
@@ -199,21 +198,21 @@ class TestRemoteParserScore:
 
     def test_score_returns_none_when_api_key_missing(
         self,
-        no_engine_settings: SettingsWrapper,
+        settings: SettingsWrapper,
     ) -> None:
-        no_engine_settings.REMOTE_OCR_ENGINE = "azureai"
-        no_engine_settings.REMOTE_OCR_ENDPOINT = (
-            "https://test.cognitiveservices.azure.com"
-        )
+        settings.REMOTE_OCR_ENGINE = "azureai"
+        settings.REMOTE_OCR_API_KEY = None
+        settings.REMOTE_OCR_ENDPOINT = "https://test.cognitiveservices.azure.com"
         result = RemoteDocumentParser.score("application/pdf", "doc.pdf")
         assert result is None
 
     def test_score_returns_none_when_endpoint_missing(
         self,
-        no_engine_settings: SettingsWrapper,
+        settings: SettingsWrapper,
     ) -> None:
-        no_engine_settings.REMOTE_OCR_ENGINE = "azureai"
-        no_engine_settings.REMOTE_OCR_API_KEY = "key"
+        settings.REMOTE_OCR_ENGINE = "azureai"
+        settings.REMOTE_OCR_API_KEY = "key"
+        settings.REMOTE_OCR_ENDPOINT = None
         result = RemoteDocumentParser.score("application/pdf", "doc.pdf")
         assert result is None
 
@@ -228,24 +227,6 @@ class TestRemoteParserScore:
         score = RemoteDocumentParser.score("application/pdf", "doc.pdf")
         assert score is not None and score > 10
 
-    @pytest.mark.django_db
-    def test_score_uses_app_config_when_env_unset(
-        self,
-        settings: SettingsWrapper,
-    ) -> None:
-        """The app config alone is enough to activate the parser."""
-        settings.REMOTE_OCR_ENGINE = None
-        settings.REMOTE_OCR_API_KEY = None
-        settings.REMOTE_OCR_ENDPOINT = None
-        config = ApplicationConfiguration.objects.first()
-        assert config is not None
-        config.remote_ocr_engine = "azureai"
-        config.remote_ocr_api_key = "app-config-key"
-        config.remote_ocr_endpoint = "https://config.cognitiveservices.azure.com"
-        config.save()
-
-        assert RemoteDocumentParser.score("application/pdf", "doc.pdf") == 20
-
 
 # ---------------------------------------------------------------------------
 # Properties

src/paperless/tests/parsers/test_tesseract_parser.py

@@ -1277,8 +1277,6 @@ class TestParserFileTypes:
 # ---------------------------------------------------------------------------
 
 
-# Remote ocr config from ApplicationConfiguration needs DB access
-@pytest.mark.django_db
 class TestRasterisedDocumentParserRegistry:
     def test_registered_in_defaults(self) -> None:
         from paperless.parsers.registry import ParserRegistry

src/paperless/tests/test_checks.py

@@ -15,6 +15,7 @@ from paperless.checks import audit_log_check
 from paperless.checks import binaries_check
 from paperless.checks import check_default_language_available
 from paperless.checks import check_deprecated_db_settings
+from paperless.checks import check_remote_parser_configured
 from paperless.checks import check_v3_minimum_upgrade_version
 from paperless.checks import debug_mode_check
 from paperless.checks import paths_check
@@ -630,6 +631,31 @@ class TestV3MinimumUpgradeVersionCheck:
         assert check_v3_minimum_upgrade_version(None) == []
 
 
+class TestRemoteParserChecks:
+    def test_no_engine(self, settings: SettingsWrapper) -> None:
+        settings.REMOTE_OCR_ENGINE = None
+        msgs = check_remote_parser_configured(None)
+
+        assert len(msgs) == 0
+
+    def test_azure_no_endpoint(self, settings: SettingsWrapper) -> None:
+
+        settings.REMOTE_OCR_ENGINE = "azureai"
+        settings.REMOTE_OCR_API_KEY = "somekey"
+        settings.REMOTE_OCR_ENDPOINT = None
+
+        msgs = check_remote_parser_configured(None)
+
+        assert len(msgs) == 1
+
+        msg = msgs[0]
+
+        assert (
+            "Azure AI remote parser requires endpoint and API key to be configured."
+            in msg.msg
+        )
+
+
 class TestTesseractChecks:
     def test_default_language(self) -> None:
         check_default_language_available(None)

src/paperless/tests/test_registry.py

@@ -468,124 +468,6 @@ class TestParserRegistryGetParserForFile:
         assert result is AcceptingBuiltin
 
 
-class TestParserRegistryRemoteParsers:
-    """Verify the allow_remote filter in ParserRegistry.get_parser_for_file()."""
-
-    @staticmethod
-    def _remote_parser_cls() -> type:
-        class RemoteParser:
-            name = "remote"
-            version = "1.0"
-            author = "A"
-            url = "https://example.com/remote"
-            uses_remote_service = True
-
-            @classmethod
-            def supported_mime_types(cls):
-                return {"text/plain": ".txt"}
-
-            @classmethod
-            def score(cls, mime_type, filename, path=None):
-                return 20
-
-        return RemoteParser
-
-    def test_remote_parser_wins_when_remote_allowed(
-        self,
-        dummy_parser_cls: type,
-    ) -> None:
-        """
-        GIVEN: A remote parser scoring 20 and a local parser scoring 10.
-        WHEN:  get_parser_for_file() is called with allow_remote=True.
-        THEN:  The remote parser is returned.
-        """
-        remote_parser_cls = self._remote_parser_cls()
-        registry = ParserRegistry()
-        registry.register_builtin(dummy_parser_cls)
-        registry.register_builtin(remote_parser_cls)
-
-        result = registry.get_parser_for_file(
-            "text/plain",
-            "readme.txt",
-            allow_remote=True,
-        )
-        assert result is remote_parser_cls
-
-    def test_remote_parser_skipped_when_remote_not_allowed(
-        self,
-        dummy_parser_cls: type,
-    ) -> None:
-        """
-        GIVEN: A remote parser scoring 20 and a local parser scoring 10.
-        WHEN:  get_parser_for_file() is called with allow_remote=False.
-        THEN:  The local parser is returned despite its lower score.
-        """
-        registry = ParserRegistry()
-        registry.register_builtin(dummy_parser_cls)
-        registry.register_builtin(self._remote_parser_cls())
-
-        result = registry.get_parser_for_file(
-            "text/plain",
-            "readme.txt",
-            allow_remote=False,
-        )
-        assert result is dummy_parser_cls
-
-    def test_no_parser_when_only_remote_available_and_not_allowed(self) -> None:
-        """
-        GIVEN: A registry whose only candidate declares uses_remote_service.
-        WHEN:  get_parser_for_file() is called with allow_remote=False.
-        THEN:  None is returned — the remote parser is never used as a
-               fallback when remote processing was not requested.
-        """
-        registry = ParserRegistry()
-        registry.register_builtin(self._remote_parser_cls())
-
-        result = registry.get_parser_for_file(
-            "text/plain",
-            "readme.txt",
-            allow_remote=False,
-        )
-        assert result is None
-
-    def test_parser_without_attribute_treated_as_local(
-        self,
-        dummy_parser_cls: type,
-    ) -> None:
-        """
-        GIVEN: A third-party parser predating uses_remote_service, so it does
-               not declare the attribute at all.
-        WHEN:  get_parser_for_file() is called with allow_remote=False.
-        THEN:  It is still considered, i.e. treated as fully local, rather
-               than raising AttributeError.
-        """
-        assert not hasattr(dummy_parser_cls, "uses_remote_service")
-
-        registry = ParserRegistry()
-        registry.register_builtin(dummy_parser_cls)
-
-        result = registry.get_parser_for_file(
-            "text/plain",
-            "readme.txt",
-            allow_remote=False,
-        )
-        assert result is dummy_parser_cls
-
-    def test_remote_allowed_by_default(self) -> None:
-        """
-        GIVEN: A registry containing only a remote parser.
-        WHEN:  get_parser_for_file() is called without allow_remote.
-        THEN:  The remote parser is returned — callers that do not opt in to
-               the filter keep the previous behaviour.
-        """
-        remote_parser_cls = self._remote_parser_cls()
-        registry = ParserRegistry()
-        registry.register_builtin(remote_parser_cls)
-
-        result = registry.get_parser_for_file("text/plain", "readme.txt")
-        assert result is remote_parser_cls
-
-
 class TestDiscover:
     """Verify entrypoint discovery in ParserRegistry.discover()."""
 

src/paperless/tests/test_remote_ocr_config.py

@@ -1,113 +0,0 @@
-"""Tests for RemoteOCRConfig precedence between app config and Django settings."""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-import pytest
-from django.test import override_settings
-
-from paperless.config import RemoteOCRConfig
-from paperless.models import RemoteOCRMode
-
-if TYPE_CHECKING:
-    from unittest.mock import MagicMock
-
-
-@pytest.fixture()
-def null_app_config(mocker) -> MagicMock:
-    """Mock ApplicationConfiguration with all fields None → falls back to Django settings."""
-    return mocker.MagicMock(
-        remote_ocr_engine=None,
-        remote_ocr_api_key=None,
-        remote_ocr_endpoint=None,
-        remote_ocr_mode=None,
-    )
-
-
-@pytest.fixture()
-def make_remote_ocr_config(mocker):
-    def _make(app_config, **django_settings_overrides):
-        mocker.patch(
-            "paperless.config.BaseConfig._get_config_instance",
-            return_value=app_config,
-        )
-        with override_settings(**django_settings_overrides):
-            return RemoteOCRConfig()
-
-    return _make
-
-
-class TestRemoteOCRConfig:
-    def test_falls_back_to_settings(
-        self,
-        make_remote_ocr_config,
-        null_app_config,
-    ) -> None:
-        cfg = make_remote_ocr_config(
-            null_app_config,
-            REMOTE_OCR_ENGINE="azureai",
-            REMOTE_OCR_API_KEY="env-key",
-            REMOTE_OCR_ENDPOINT="https://env.cognitiveservices.azure.com",
-            REMOTE_OCR_MODE=RemoteOCRMode.WORKFLOW_ONLY,
-        )
-        assert cfg.remote_ocr_engine == "azureai"
-        assert cfg.remote_ocr_api_key == "env-key"
-        assert cfg.remote_ocr_endpoint == "https://env.cognitiveservices.azure.com"
-        assert cfg.remote_ocr_mode == RemoteOCRMode.WORKFLOW_ONLY
-
-    def test_app_config_takes_precedence(
-        self,
-        make_remote_ocr_config,
-        mocker,
-    ) -> None:
-        app_config = mocker.MagicMock(
-            remote_ocr_engine="azureai",
-            remote_ocr_api_key="db-key",
-            remote_ocr_endpoint="https://db.cognitiveservices.azure.com",
-            remote_ocr_mode=RemoteOCRMode.WORKFLOW_ONLY,
-        )
-        cfg = make_remote_ocr_config(
-            app_config,
-            REMOTE_OCR_ENGINE=None,
-            REMOTE_OCR_API_KEY="env-key",
-            REMOTE_OCR_ENDPOINT="https://env.cognitiveservices.azure.com",
-            REMOTE_OCR_MODE=RemoteOCRMode.ALWAYS,
-        )
-        assert cfg.remote_ocr_engine == "azureai"
-        assert cfg.remote_ocr_api_key == "db-key"
-        assert cfg.remote_ocr_endpoint == "https://db.cognitiveservices.azure.com"
-        assert cfg.remote_ocr_mode == RemoteOCRMode.WORKFLOW_ONLY
-
-    def test_unset_everywhere(
-        self,
-        make_remote_ocr_config,
-        null_app_config,
-    ) -> None:
-        cfg = make_remote_ocr_config(
-            null_app_config,
-            REMOTE_OCR_ENGINE=None,
-            REMOTE_OCR_API_KEY=None,
-            REMOTE_OCR_ENDPOINT=None,
-        )
-        assert cfg.remote_ocr_engine is None
-        assert cfg.remote_ocr_api_key is None
-        assert cfg.remote_ocr_endpoint is None
-
-
-class TestRemoteOCRByDefault:
-    def test_always_mode(self, make_remote_ocr_config, null_app_config) -> None:
-        cfg = make_remote_ocr_config(
-            null_app_config,
-            REMOTE_OCR_MODE=RemoteOCRMode.ALWAYS,
-        )
-
-        assert cfg.remote_ocr_by_default is True
-
-    def test_workflow_only_mode(self, make_remote_ocr_config, null_app_config) -> None:
-        cfg = make_remote_ocr_config(
-            null_app_config,
-            REMOTE_OCR_MODE=RemoteOCRMode.WORKFLOW_ONLY,
-        )
-
-        assert cfg.remote_ocr_by_default is False

src/paperless_ai/ai_classifier.py

@@ -47,22 +47,6 @@ def get_language_name(language_code: str) -> str:
     return language_code
 
 
-def get_llm_output_language(ai_config: AIConfig, user: User | None) -> str | None:
-    """
-    Language to localize LLM output into: the configured language, falling back
-    to the user's own UI language when unset.
-    """
-    output_language = ai_config.llm_output_language
-    if (
-        not output_language
-        and user is not None
-        and hasattr(user, "ui_settings")
-        and isinstance(user.ui_settings.settings, dict)
-    ):
-        output_language = user.ui_settings.settings.get("language")
-    return output_language
-
-
 def build_prompt_without_rag(
     document: Document,
     config: AIConfig,

src/paperless_ai/matching.py

@@ -11,7 +11,7 @@ from documents.models import Correspondent
 from documents.models import DocumentType
 from documents.models import StoragePath
 from documents.models import Tag
-from documents.permissions import permitted_object_ids
+from documents.permissions import get_objects_for_user_owner_aware
 from documents.permissions import restrict_queryset_to_visible
 
 MATCH_THRESHOLD = 0.8
@@ -63,40 +63,30 @@ def resolve_storage_path_ids(ids: list[int], user: User | None) -> list[StorageP
 
 def _match_by_name(
     names: list[str],
-    user: User | None,
+    user: User,
     model: type[ModelT],
     perm: str,
 ) -> list[ModelT]:
-    # A workflow may have no user. In that case permitted_object_ids limits
-    # matching to unowned objects, avoiding another user's private taxonomy.
-    queryset = model.objects.filter(
-        pk__in=permitted_object_ids(user, model, perm),
-    )
+    queryset = get_objects_for_user_owner_aware(user, [perm], model)
     return _match_names_to_queryset(names, queryset)
 
 
-def match_tags_by_name(names: list[str], user: User | None) -> list[Tag]:
+def match_tags_by_name(names: list[str], user: User) -> list[Tag]:
     return _match_by_name(names, user, Tag, "view_tag")
 
 
 def match_correspondents_by_name(
     names: list[str],
-    user: User | None,
+    user: User,
 ) -> list[Correspondent]:
     return _match_by_name(names, user, Correspondent, "view_correspondent")
 
 
-def match_document_types_by_name(
-    names: list[str],
-    user: User | None,
-) -> list[DocumentType]:
+def match_document_types_by_name(names: list[str], user: User) -> list[DocumentType]:
     return _match_by_name(names, user, DocumentType, "view_documenttype")
 
 
-def match_storage_paths_by_name(
-    names: list[str],
-    user: User | None,
-) -> list[StoragePath]:
+def match_storage_paths_by_name(names: list[str], user: User) -> list[StoragePath]:
     return _match_by_name(names, user, StoragePath, "view_storagepath")
 
 

src/paperless_ai/tests/test_matching.py

@@ -1,4 +1,5 @@
 from collections.abc import Callable
+from unittest.mock import patch
 
 import pytest
 import pytest_mock
@@ -44,25 +45,33 @@ class TestAIMatching(TestCase):
         self.storage_path1 = StoragePath.objects.create(name="Test Storage Path 1")
         self.storage_path2 = StoragePath.objects.create(name="Test Storage Path 2")
 
-    def test_match_tags_by_name(self) -> None:
+    @patch("paperless_ai.matching.get_objects_for_user_owner_aware")
+    def test_match_tags_by_name(self, mock_get_objects) -> None:
+        mock_get_objects.return_value = Tag.objects.all()
         names = ["Test Tag 1", "Nonexistent Tag"]
         result = match_tags_by_name(names, user=None)
         self.assertEqual(len(result), 1)
         self.assertEqual(result[0].name, "Test Tag 1")
 
-    def test_match_correspondents_by_name(self) -> None:
+    @patch("paperless_ai.matching.get_objects_for_user_owner_aware")
+    def test_match_correspondents_by_name(self, mock_get_objects) -> None:
+        mock_get_objects.return_value = Correspondent.objects.all()
         names = ["Test Correspondent 1", "Nonexistent Correspondent"]
         result = match_correspondents_by_name(names, user=None)
         self.assertEqual(len(result), 1)
         self.assertEqual(result[0].name, "Test Correspondent 1")
 
-    def test_match_document_types_by_name(self) -> None:
+    @patch("paperless_ai.matching.get_objects_for_user_owner_aware")
+    def test_match_document_types_by_name(self, mock_get_objects) -> None:
+        mock_get_objects.return_value = DocumentType.objects.all()
         names = ["Test Document Type 1", "Nonexistent Document Type"]
         result = match_document_types_by_name(names, user=None)
         self.assertEqual(len(result), 1)
         self.assertEqual(result[0].name, "Test Document Type 1")
 
-    def test_match_storage_paths_by_name(self) -> None:
+    @patch("paperless_ai.matching.get_objects_for_user_owner_aware")
+    def test_match_storage_paths_by_name(self, mock_get_objects) -> None:
+        mock_get_objects.return_value = StoragePath.objects.all()
         names = ["Test Storage Path 1", "Nonexistent Storage Path"]
         result = match_storage_paths_by_name(names, user=None)
         self.assertEqual(len(result), 1)
@@ -74,12 +83,16 @@ class TestAIMatching(TestCase):
         unmatched_names = extract_unmatched_names(llm_names, matched_objects)
         self.assertEqual(unmatched_names, ["Nonexistent Tag"])
 
-    def test_match_tags_by_name_with_empty_names(self) -> None:
+    @patch("paperless_ai.matching.get_objects_for_user_owner_aware")
+    def test_match_tags_by_name_with_empty_names(self, mock_get_objects) -> None:
+        mock_get_objects.return_value = Tag.objects.all()
         names = [None, "", "   "]
         result = match_tags_by_name(names, user=None)
         self.assertEqual(result, [])
 
-    def test_match_tags_with_fuzzy_matching(self) -> None:
+    @patch("paperless_ai.matching.get_objects_for_user_owner_aware")
+    def test_match_tags_with_fuzzy_matching(self, mock_get_objects) -> None:
+        mock_get_objects.return_value = Tag.objects.all()
         names = ["Test Taag 1", "Teest Tag 2"]
         result = match_tags_by_name(names, user=None)
         self.assertEqual(len(result), 2)

src/paperless_mail/tests/test_api.py

@@ -253,81 +253,6 @@ class TestAPIMailAccounts(DirectoriesMixin, APITestCase):
         self.assertEqual(response.status_code, status.HTTP_200_OK)
         self.assertEqual(response.data["success"], True)
 
-    def test_mail_account_test_existing_no_global_perms(self) -> None:
-        """
-        GIVEN:
-            - Existing account without an owner
-            - User without any mail account permissions
-        WHEN:
-            - API call is made to test the account by id
-        THEN:
-            - API returns forbidden
-        """
-        account = MailAccountFactory(
-            username="admin",
-            password="secret",
-            imap_server="server.example.com",
-            imap_port=443,
-            owner=None,
-        )
-        user = User.objects.create_user(username="no_perms")
-        self.client.force_authenticate(user=user)
-
-        response = self.client.post(
-            f"{self.ENDPOINT}test/",
-            json.dumps(
-                {
-                    "id": account.pk,
-                    "imap_server": "server.example.com",
-                    "imap_port": 443,
-                    "imap_security": MailAccount.ImapSecurity.SSL,
-                    "username": "admin",
-                    "password": "******",
-                },
-            ),
-            content_type="application/json",
-        )
-        self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
-        self.assertEqual(response.content.decode(), "Insufficient permissions")
-
-    def test_mail_account_test_existing_object_perms_only(self) -> None:
-        """
-        GIVEN:
-            - Existing account owned by another user
-            - User with an object level grant but no global change permission
-        WHEN:
-            - API call is made to test the account by id
-        THEN:
-            - API returns forbidden
-        """
-        owner = User.objects.create_user(username="account_owner")
-        account = MailAccountFactory(
-            username="admin",
-            password="secret",
-            imap_server="server.example.com",
-            imap_port=443,
-            owner=owner,
-        )
-        user = User.objects.create_user(username="object_perms_only")
-        assign_perm("change_mailaccount", user, account)
-        self.client.force_authenticate(user=user)
-
-        response = self.client.post(
-            f"{self.ENDPOINT}test/",
-            json.dumps(
-                {
-                    "id": account.pk,
-                    "imap_server": "server.example.com",
-                    "imap_port": 443,
-                    "imap_security": MailAccount.ImapSecurity.SSL,
-                    "username": "admin",
-                    "password": "******",
-                },
-            ),
-            content_type="application/json",
-        )
-        self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
-
     def test_mail_account_test_existing_nonexistent_id_forbidden(self) -> None:
         response = self.client.post(
             f"{self.ENDPOINT}test/",

src/paperless_mail/tests/test_mail.py

@@ -2195,9 +2195,7 @@ class TestMailAccountTestView(APITestCase):
             password="testpassword",
         )
         self.user.user_permissions.add(
-            *Permission.objects.filter(
-                codename__in=["add_mailaccount", "change_mailaccount"],
-            ),
+            *Permission.objects.filter(codename__in=["add_mailaccount"]),
         )
         self.user.save()
         self.client.force_authenticate(user=self.user)

src/paperless_mail/views.py

@@ -106,9 +106,7 @@ class MailAccountViewSet(PassUserMixin, ModelViewSet[MailAccount]):
             except (TypeError, ValueError, MailAccount.DoesNotExist):
                 return HttpResponseForbidden("Insufficient permissions")
 
-            if not request.user.has_perms(
-                ["paperless_mail.change_mailaccount"],
-            ) or not has_perms_owner_aware(
+            if not has_perms_owner_aware(
                 request.user,
                 "change_mailaccount",
                 existing_account,

uv.lock

@@ -4,11 +4,11 @@ requires-python = ">=3.11"
 resolution-markers = [
     "python_full_version >= '3.15' and sys_platform == 'darwin'",
     "python_full_version >= '3.15' and sys_platform == 'linux'",
+    "python_full_version == '3.14.*' and platform_machine == 'x86_64' and sys_platform == 'linux'",
+    "python_full_version == '3.14.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
     "python_full_version >= '3.12' and python_full_version < '3.15' and sys_platform == 'darwin'",
     "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'",
     "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
-    "python_full_version == '3.14.*' and platform_machine == 'x86_64' and sys_platform == 'linux'",
-    "python_full_version == '3.14.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
     "(python_full_version >= '3.12' and python_full_version < '3.15' and platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux') or (python_full_version == '3.13.*' and platform_machine == 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.13.*' and platform_machine == 'x86_64' and sys_platform == 'linux')",
     "python_full_version < '3.12' and sys_platform == 'darwin'",
     "python_full_version < '3.12' and sys_platform == 'linux'",
@@ -2933,6 +2933,7 @@ dependencies = [
     { name = "torch", version = "2.13.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
     { name = "watchfiles" },
     { name = "whitenoise" },
+    { name = "whoosh-compat", extra = ["tantivy"] },
     { name = "zxing-cpp" },
 ]
 
@@ -3091,6 +3092,7 @@ requires-dist = [
     { name = "torch", specifier = "~=2.13.0", index = "https://download.pytorch.org/whl/cpu" },
     { name = "watchfiles", specifier = ">=1.2" },
     { name = "whitenoise", specifier = "~=6.11" },
+    { name = "whoosh-compat", extras = ["tantivy"], specifier = "==0.1.0" },
     { name = "zxing-cpp", specifier = "~=3.1.0" },
 ]
 provides-extras = ["mariadb", "postgres", "webserver"]
@@ -5014,10 +5016,10 @@ version = "2.13.0+cpu"
 source = { registry = "https://download.pytorch.org/whl/cpu" }
 resolution-markers = [
     "python_full_version >= '3.15' and sys_platform == 'linux'",
-    "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'",
-    "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
     "python_full_version == '3.14.*' and platform_machine == 'x86_64' and sys_platform == 'linux'",
     "python_full_version == '3.14.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
+    "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'",
+    "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
     "(python_full_version >= '3.12' and python_full_version < '3.15' and platform_machine != 'aarch64' and platform_machine != 'x86_64' and sys_platform == 'linux') or (python_full_version == '3.13.*' and platform_machine == 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.13.*' and platform_machine == 'x86_64' and sys_platform == 'linux')",
     "python_full_version < '3.12' and sys_platform == 'linux'",
 ]
@@ -5652,6 +5654,23 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/db/eb/d5583a11486211f3ebd4b385545ae787f32363d453c19fffd81106c9c138/whitenoise-6.12.0-py3-none-any.whl", hash = "sha256:fc5e8c572e33ebf24795b47b6a7da8da3c00cff2349f5b04c02f28d0cc5a3cc2", size = 20302, upload-time = "2026-02-27T00:05:40.086Z" },
 ]
 
+[[package]]
+name = "whoosh-compat"
+version = "0.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "python-dateutil" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/5d/f7/3e45f4a484afa174cd42e424ce2b8c514ae54f564830122656ad17b765e2/whoosh_compat-0.1.0.tar.gz", hash = "sha256:86935bdc159ed9b0a06a4661d17f1251d8280340b84e218cc73d915a2edaddf7", size = 577543, upload-time = "2026-08-25T15:22:42.316Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/3f/51/9a8399d0f472814e136a2884bf910c6c59843a5a2c66afc4b5133eb531ea/whoosh_compat-0.1.0-py3-none-any.whl", hash = "sha256:3e7c5f519b4d397dbf4f8d7bbe4ca1eb6004da24c8892bc701844ed393bc97e7", size = 153875, upload-time = "2026-08-25T15:22:40.787Z" },
+]
+
+[package.optional-dependencies]
+tantivy = [
+    { name = "tantivy" },
+]
+
 [[package]]
 name = "wrapt"
 version = "2.0.1"