Note the large qty

docs/api.md

@@ -301,7 +301,8 @@ The following methods are supported:
 - `delete`
   - No `parameters` required
 - `reprocess`
-  - No `parameters` required
+  - Optional `parameters`: `{ "remote_ocr": true }` to send the documents to the
+    remote OCR engine, see [Remote OCR](usage.md#remote-ocr). Defaults to false.
 - `set_permissions`
   - Requires `parameters`:
     - `"set_permissions": PERMISSIONS_OBJ` (see format [above](#permissions)) and / or

docs/configuration.md

@@ -948,11 +948,10 @@ for display in the web interface.
 
     !!! note
 
-        The **remote OCR parser** (Azure AI) also honors this setting: when
+        The **remote OCR parser** (Azure AI) always produces a searchable
-        no archive is requested (`never`, or `auto` with a born-digital PDF),
+        PDF and stores it as the archive copy, regardless of this setting.
-        the remote engine is skipped entirely and locally-extracted text is
+        `ARCHIVE_FILE_GENERATION=never` has no effect when the remote
-        used instead, avoiding an unnecessary API call and a duplicate text
+        parser handles a document.
-        layer.
 
 #### [`PAPERLESS_OCR_CLEAN=<mode>`](#PAPERLESS_OCR_CLEAN) {#PAPERLESS_OCR_CLEAN}
 
@@ -2048,6 +2047,18 @@ 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

@@ -456,6 +456,20 @@ 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/migration-v3.md

@@ -187,11 +187,10 @@ PAPERLESS_ARCHIVE_FILE_GENERATION=auto
 
 ### Remote OCR parser
 
-If you use the **remote OCR parser** (Azure AI), `ARCHIVE_FILE_GENERATION` is
+If you use the **remote OCR parser** (Azure AI), note that it always produces a
-honored the same way as for the local engine: when no archive is requested
+searchable PDF and stores it as the archive copy. `ARCHIVE_FILE_GENERATION=never`
-(`never`, or `auto` with a born-digital PDF), the remote engine is skipped
+has no effect for documents handled by the remote parser - the archive is produced
-entirely and locally-extracted text is used instead, avoiding an unnecessary
+unconditionally by the remote engine.
-API call and a duplicate text layer.
 
 ## Search Index (Whoosh -> Tantivy)
 

docs/usage.md

@@ -576,9 +576,7 @@ The following workflow action types are available:
 - Tags, correspondent, document type and storage path
 - Document owner
 - View and / or edit permissions to users or groups
-- Custom fields, optionally with a value. If no value is set, the field is only added to the
+- Custom fields. Note that no value for the field will be set
-  document and any value it may already have is left untouched. If a value is set, it will
-  overwrite an existing value of that field on the document.
 
 ##### Removal {#workflow-action-removal}
 
@@ -650,6 +648,48 @@ 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/).
@@ -1086,11 +1126,19 @@ 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.
+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**.
 
 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:

src-ui/messages.xlf

@@ -599,7 +599,7 @@
         </context-group>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/manage/saved-views/saved-views.component.html</context>
-          <context context-type="linenumber">85,86</context>
+          <context context-type="linenumber">84,85</context>
         </context-group>
       </trans-unit>
       <trans-unit id="3768927257183755959" datatype="html">
@@ -670,7 +670,7 @@
         </context-group>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/manage/saved-views/saved-views.component.html</context>
-          <context context-type="linenumber">86,87</context>
+          <context context-type="linenumber">85,86</context>
         </context-group>
       </trans-unit>
       <trans-unit id="5079885666748292382" datatype="html">
@@ -9907,7 +9907,7 @@
         </context-group>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/manage/saved-views/saved-views.component.ts</context>
-          <context context-type="linenumber">314</context>
+          <context context-type="linenumber">296</context>
         </context-group>
       </trans-unit>
       <trans-unit id="2620006875434695386" datatype="html">
@@ -10234,7 +10234,7 @@
         </context-group>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/manage/saved-views/saved-views.component.ts</context>
-          <context context-type="linenumber">308</context>
+          <context context-type="linenumber">290</context>
         </context-group>
       </trans-unit>
       <trans-unit id="3501895737484542570" datatype="html">
@@ -10346,28 +10346,28 @@
         <source>Saved view &quot;<x id="PH" equiv-text="savedView.name"/>&quot; deleted.</source>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/manage/saved-views/saved-views.component.ts</context>
-          <context context-type="linenumber">178</context>
+          <context context-type="linenumber">160</context>
         </context-group>
       </trans-unit>
       <trans-unit id="1660419335376265526" datatype="html">
         <source>Views saved successfully.</source>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/manage/saved-views/saved-views.component.ts</context>
-          <context context-type="linenumber">255</context>
+          <context context-type="linenumber">237</context>
         </context-group>
       </trans-unit>
       <trans-unit id="1699877326523238632" datatype="html">
         <source>Error while saving views.</source>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/manage/saved-views/saved-views.component.ts</context>
-          <context context-type="linenumber">260</context>
+          <context context-type="linenumber">242</context>
         </context-group>
       </trans-unit>
       <trans-unit id="4919025779187821586" datatype="html">
         <source>Note: Sharing saved views does not share the underlying documents.</source>
         <context-group purpose="location">
           <context context-type="sourcefile">src/app/components/manage/saved-views/saved-views.component.ts</context>
-          <context context-type="linenumber">296</context>
+          <context context-type="linenumber">278</context>
         </context-group>
       </trans-unit>
       <trans-unit id="1229748338333965418" datatype="html">

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

@@ -14,43 +14,48 @@
                 <a ngbNavLink>{{category}}</a>
                 <ng-template ngbNavContent>
                     <div class="p-3">
-                        <div class="row row-cols-1 row-cols-md-2 row-cols-lg-3 g-2">
+                        @for (section of getCategorySections(category); track section) {
-                            @for (option of getCategoryOptions(category); track option.key) {
+                            @if (section) {
-                                <div class="col">
+                                <h5 class="mt-4 mb-3">{{section}}</h5>
-                                    <div class="card bg-light">
+                            }
-                                        <div class="card-body">
+                            <div class="row row-cols-1 row-cols-md-2 row-cols-lg-3 g-2">
-                                            <div class="card-title d-flex align-items-center">
+                                @for (option of getCategoryOptions(category, section); track option.key) {
-                                                <h6 class="mb-0">
+                                    <div class="col">
-                                                  {{option.title}}
+                                        <div class="card bg-light">
-                                                </h6>
+                                            <div class="card-body">
-                                                <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">
+                                                <div class="card-title d-flex align-items-center">
-                                                    <i-bs name="info-circle"></i-bs>
+                                                    <h6 class="mb-0">
-                                                </a>
+                                                      {{option.title}}
-                                                @if (isSet(option.key)) {
+                                                    </h6>
-                                                  <button type="button" class="btn btn-sm btn-link text-danger ms-auto pe-0" title="Reset" i18n-title (click)="resetOption(option.key)">
+                                                    <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 class="me-1" name="x"></i-bs><ng-container i18n>Reset</ng-container>
+                                                        <i-bs name="info-circle"></i-bs>
-                                                  </button>
+                                                    </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 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

@@ -8,7 +8,11 @@ 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 { OutputTypeConfig } from 'src/app/data/paperless-config'
+import {
+  ConfigCategory,
+  ConfigSection,
+  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'
@@ -158,4 +162,24 @@ 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

@@ -74,8 +74,20 @@ export class ConfigComponent
     return Object.values(ConfigCategory)
   }
 
-  getCategoryOptions(category: string): ConfigOption[] {
+  getCategorySections(category: string): string[] {
-    return PaperlessConfigOptions.filter((o) => o.category === category)
+    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
+    )
   }
 
   initialConfig: PaperlessConfig

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

@@ -0,0 +1,28 @@
+<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

@@ -0,0 +1,72 @@
+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

@@ -0,0 +1,20 @@
+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

@@ -455,6 +455,52 @@
           </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

@@ -22,6 +22,7 @@ import {
 } from 'src/app/data/matching-model'
 import { Workflow } from 'src/app/data/workflow'
 import {
+  AISuggestionField,
   WorkflowAction,
   WorkflowActionType,
 } from 'src/app/data/workflow-action'
@@ -29,6 +30,7 @@ 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'
@@ -48,6 +50,7 @@ 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,
@@ -224,7 +227,12 @@ describe('WorkflowEditDialogComponent', () => {
     ).toEqual('Document Added')
     expect(component.getTriggerTypeOptionName(null)).toEqual('')
     expect(component.sourceOptions).toEqual(DOCUMENT_SOURCE_OPTIONS)
-    expect(component.actionTypeOptions).toEqual(WORKFLOW_ACTION_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.getActionTypeOptionName(WorkflowActionType.Assignment)
     ).toEqual('Assignment')
@@ -233,14 +241,231 @@ describe('WorkflowEditDialogComponent', () => {
       SCHEDULE_DATE_FIELD_OPTIONS
     )
 
-    // Email disabled
+    // Email, remote OCR and AI all disabled
     jest.spyOn(settingsService, 'get').mockReturnValue(false)
     component.ngOnInit()
     expect(component.actionTypeOptions).toEqual(
-      WORKFLOW_ACTION_OPTIONS.filter((a) => a.id !== WorkflowActionType.Email)
+      WORKFLOW_ACTION_OPTIONS.filter(
+        (a) =>
+          a.id !== WorkflowActionType.Email &&
+          a.id !== WorkflowActionType.RemoteOcr &&
+          a.id !== WorkflowActionType.ApplyAiSuggestions
+      )
     )
   })
 
+  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

@@ -30,6 +30,7 @@ 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'
@@ -148,6 +149,41 @@ 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 {
@@ -504,8 +540,6 @@ export class WorkflowEditDialogComponent
 
   expandedItem: number = null
 
-  readonly allowedActionTypes = signal([])
-
   private readonly triggerFilterOptionsMap = new WeakMap<
     FormArray,
     TriggerFilterOption[]
@@ -548,13 +582,58 @@ export class WorkflowEditDialogComponent
       this.checkRemovalActionFields.bind(this)
     )
     this.checkRemovalActionFields(this.objectForm.value)
-    this.allowedActionTypes.set(
+  }
-      this.settingsService.get(SETTINGS_KEYS.EMAIL_ENABLED)
+
-        ? WORKFLOW_ACTION_OPTIONS
+  private allowedActionTypes: typeof WORKFLOW_ACTION_OPTIONS = null
-        : WORKFLOW_ACTION_OPTIONS.filter(
+
-            (a) => a.id !== WorkflowActionType.Email
+  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
   }
 
   private checkRemovalActionFields(formWorkflow: Workflow) {
@@ -1198,6 +1277,11 @@ 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 }
     )
@@ -1279,13 +1363,18 @@ export class WorkflowEditDialogComponent
 
   get actionTypeOptions() {
     this.settingsService.trackChanges()
-    return this.allowedActionTypes()
+    // Computed on read rather than cached
+    return this.getAllowedActionTypes()
   }
 
   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)
@@ -1339,6 +1428,9 @@ 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/input/custom-fields-values/custom-fields-values.component.spec.ts

@@ -52,10 +52,10 @@ describe('CustomFieldsValuesComponent', () => {
   })
 
   it('should set selectedFields and map values correctly', () => {
-    component.value = { 1: 'value1', 3: 0, 4: false }
+    component.value = { 1: 'value1' }
-    component.selectedFields = [1, 2, 3, 4]
+    component.selectedFields = [1, 2]
-    expect(component.selectedFields).toEqual([1, 2, 3, 4])
+    expect(component.selectedFields).toEqual([1, 2])
-    expect(component.value).toEqual({ 1: 'value1', 2: null, 3: 0, 4: false })
+    expect(component.value).toEqual({ 1: 'value1', 2: null })
   })
 
   it('should return the correct custom field by id', () => {

src-ui/src/app/components/common/input/custom-fields-values/custom-fields-values.component.ts

@@ -77,7 +77,7 @@ export class CustomFieldsValuesComponent extends AbstractInputComponent<Object>
     this._selectedFields = newFields
     // map the selected fields to an object with field_id as key and value as value
     this.value = newFields.reduce((acc, fieldId) => {
-      acc[fieldId] = this.value?.[fieldId] ?? null
+      acc[fieldId] = this.value?.[fieldId] || null
       return acc
     }, {})
     this.onChange(this.value)

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

@@ -963,12 +963,24 @@ describe('DocumentDetailComponent', () => {
     component.reprocess()
     const modalCloseSpy = jest.spyOn(openModal, 'close')
     openModal.componentInstance.confirmClicked.next()
-    expect(reprocessSpy).toHaveBeenCalledWith({ documents: [doc.id] })
+    expect(reprocessSpy).toHaveBeenCalledWith({ documents: [doc.id] }, false)
     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

@@ -97,6 +97,7 @@ 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'
@@ -1402,7 +1403,7 @@ export class DocumentDetailComponent
   }
 
   reprocess() {
-    let modal = this.modalService.open(ConfirmDialogComponent, {
+    let modal = this.modalService.open(ReprocessConfirmDialogComponent, {
       backdrop: 'static',
     })
     modal.componentInstance.title = $localize`Reprocess confirm`
@@ -1413,7 +1414,10 @@ export class DocumentDetailComponent
     modal.componentInstance.confirmClicked.subscribe(() => {
       modal.componentInstance.buttonsEnabled = false
       this.documentsService
-        .reprocessDocuments({ documents: [this.document().id] })
+        .reprocessDocuments(
+          { documents: [this.document().id] },
+          modal.componentInstance.remoteOcr
+        )
         .subscribe({
           next: () => {
             this.toastService.showInfo(

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

@@ -1122,6 +1122,7 @@ 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

@@ -51,6 +51,7 @@ import { ToastService } from 'src/app/services/toast.service'
 import { flattenTags } from 'src/app/utils/flatten-tags'
 import { queryParamsFromFilterRules } from 'src/app/utils/query-params'
 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'
@@ -909,7 +910,7 @@ export class BulkEditorComponent
   }
 
   reprocessSelected() {
-    let modal = this.modalService.open(ConfirmDialogComponent, {
+    let modal = this.modalService.open(ReprocessConfirmDialogComponent, {
       backdrop: 'static',
     })
     modal.componentInstance.title = $localize`Reprocess confirm`
@@ -923,7 +924,10 @@ export class BulkEditorComponent
         modal.componentInstance.buttonsEnabled = false
         this.executeDocumentAction(
           modal,
-          this.documentService.reprocessDocuments(this.getSelectionQuery())
+          this.documentService.reprocessDocuments(
+            this.getSelectionQuery(),
+            modal.componentInstance.remoteOcr
+          )
         )
       })
   }

src-ui/src/app/components/manage/saved-views/saved-views.component.html

@@ -7,7 +7,7 @@
 </pngx-page-header>
 <form [formGroup]="savedViewsForm" (ngSubmit)="save()">
   <ul class="list-group mb-3" formGroupName="savedViews">
-    @for (view of pagedSavedViews(); track view) {
+    @for (view of savedViews(); track view) {
       <li class="list-group-item py-3">
       <div [formGroupName]="view.id">
         <div class="row">
@@ -81,11 +81,6 @@
     }
   </ul>
 
-  <div class="d-flex align-items-center mb-3">
+  <button type="button" (click)="reset()" class="btn btn-outline-secondary mb-2" [disabled]="(isDirty$ | async) === false" i18n>Cancel</button>
-    <button type="button" (click)="reset()" class="btn btn-outline-secondary mb-2" [disabled]="(isDirty$ | async) === false" i18n>Cancel</button>
+  <button type="submit" class="btn btn-primary ms-2 mb-2" [disabled]="(isDirty$ | async) === false" i18n>Save</button>
-    <button type="submit" class="btn btn-primary ms-2 mb-2" [disabled]="(isDirty$ | async) === false" i18n>Save</button>
-    @if (savedViews()?.length > pageSize) {
-      <ngb-pagination class="ms-auto" [pageSize]="pageSize" [collectionSize]="savedViews().length" [page]="page()" [maxSize]="5" (pageChange)="page.set($event)" size="sm" aria-label="Pagination"></ngb-pagination>
-    }
-  </div>
 </form>

src-ui/src/app/components/manage/saved-views/saved-views.component.spec.ts

@@ -4,7 +4,6 @@ import { provideHttpClientTesting } from '@angular/common/http/testing'
 import { signal } from '@angular/core'
 import { ComponentFixture, TestBed } from '@angular/core/testing'
 import { FormsModule, ReactiveFormsModule } from '@angular/forms'
-import { By } from '@angular/platform-browser'
 import { NgbModal, NgbModule } from '@ng-bootstrap/ng-bootstrap'
 import { NgxBootstrapIconsModule, allIcons } from 'ngx-bootstrap-icons'
 import { Subject, of, throwError } from 'rxjs'
@@ -223,44 +222,6 @@ describe('SavedViewsComponent', () => {
     ).toEqual(view.show_on_dashboard)
   })
 
-  it('should page saved views, clamp the page if views are removed', () => {
-    const manyViews = Array.from({ length: 30 }, (_, i) => ({
-      id: i + 1,
-      name: `view${i + 1}`,
-    })) as SavedView[]
-    const listSpy = jest.spyOn(savedViewService, 'list').mockReturnValue(
-      of({
-        all: manyViews.map((v) => v.id),
-        count: manyViews.length,
-        results: manyViews.concat([]),
-      })
-    )
-    component.ngOnInit()
-    fixture.detectChanges()
-    expect(listSpy).toHaveBeenCalledWith(1, 100000, null, false, {
-      full_perms: true,
-    })
-    expect(component.pagedSavedViews()).toHaveLength(25)
-    expect(fixture.debugElement.query(By.css('ngb-pagination'))).not.toBeNull()
-    // all views have controls, not just the current page
-    expect(
-      Object.keys(component.savedViewsForm.get('savedViews').value)
-    ).toHaveLength(30)
-
-    component.page.set(2)
-    expect(component.pagedSavedViews()).toHaveLength(5)
-
-    listSpy.mockReturnValue(
-      of({
-        all: manyViews.slice(0, 25).map((v) => v.id),
-        count: 25,
-        results: manyViews.slice(0, 25),
-      })
-    )
-    component.ngOnInit()
-    expect(component.page()).toEqual(1)
-  })
-
   it('should support editing permissions', () => {
     const confirmClicked = new Subject<any>()
     const modalRef = {

src-ui/src/app/components/manage/saved-views/saved-views.component.ts

@@ -1,19 +1,12 @@
 import { AsyncPipe } from '@angular/common'
-import {
+import { Component, OnDestroy, OnInit, inject, signal } from '@angular/core'
-  Component,
-  OnDestroy,
-  OnInit,
-  computed,
-  inject,
-  signal,
-} from '@angular/core'
 import {
   FormControl,
   FormGroup,
   FormsModule,
   ReactiveFormsModule,
 } from '@angular/forms'
-import { NgbModal, NgbPaginationModule } from '@ng-bootstrap/ng-bootstrap'
+import { NgbModal } from '@ng-bootstrap/ng-bootstrap'
 import { dirtyCheck } from '@ngneat/dirty-check-forms'
 import { NgxBootstrapIconsModule } from 'ngx-bootstrap-icons'
 import { BehaviorSubject, Observable, of, switchMap, takeUntil } from 'rxjs'
@@ -49,7 +42,6 @@ import { LoadingComponentWithPermissions } from '../../loading-component/loading
     FormsModule,
     ReactiveFormsModule,
     AsyncPipe,
-    NgbPaginationModule,
     NgxBootstrapIconsModule,
   ],
 })
@@ -66,14 +58,6 @@ export class SavedViewsComponent
   DisplayMode = DisplayMode
 
   readonly savedViews = signal<SavedView[]>(undefined)
-  readonly page = signal(1)
-  public readonly pageSize = 25
-  // All views are loaded at init, so paging is only for display
-  readonly pagedSavedViews = computed(() => {
-    const start = (this.page() - 1) * this.pageSize
-    return this.savedViews()?.slice(start, start + this.pageSize)
-  })
-
   private savedViewsGroup = new FormGroup({})
   public savedViewsForm: FormGroup = new FormGroup({
     savedViews: this.savedViewsGroup,
@@ -100,11 +84,9 @@ export class SavedViewsComponent
   private reloadViews(): void {
     this.loading.set(true)
     this.savedViewService
-      .list(1, 100000, null, false, { full_perms: true })
+      .list(null, null, null, false, { full_perms: true })
       .subscribe((r) => {
         this.savedViews.set(r.results)
-        const pageCount = Math.ceil(r.results.length / this.pageSize)
-        this.page.update((page) => Math.min(page, Math.max(1, pageCount)))
         this.initialize()
       })
   }

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

@@ -54,6 +54,10 @@ export const ConfigCategory = {
   AI: $localize`AI Settings`,
 }
 
+export const ConfigSection = {
+  RemoteOCR: $localize`Remote OCR`,
+}
+
 export const LLMEmbeddingBackendConfig = {
   OPENAI_LIKE: 'openai-like',
   HUGGINGFACE: 'huggingface',
@@ -65,6 +69,15 @@ 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
@@ -72,6 +85,7 @@ export interface ConfigOption {
   choices?: Array<{ id: string; name: string }>
   config_key?: string
   category: string
+  section?: string
   note?: string
 }
 
@@ -181,6 +195,43 @@ 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`,
@@ -398,6 +449,10 @@ 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

@@ -1,5 +1,6 @@
 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 {
@@ -94,6 +95,8 @@ 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[] = [
@@ -347,4 +350,14 @@ 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

@@ -7,6 +7,18 @@ 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 {
@@ -101,4 +113,10 @@ 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

@@ -284,6 +284,21 @@ 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

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

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

@@ -13,6 +13,7 @@ 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'
@@ -434,4 +435,26 @@ 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

@@ -19,6 +19,7 @@ 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,
@@ -687,6 +688,17 @@ 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/documents/bulk_edit.py

@@ -394,10 +394,16 @@ def delete(doc_ids: list[int]) -> Literal["OK"]:
     return "OK"
 
 
-def reprocess(doc_ids: list[int]) -> Literal["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.
+    """
     for document_id in doc_ids:
         update_document_content_maybe_archive_file.apply_async(
-            kwargs={"document_id": document_id},
+            kwargs={"document_id": document_id, "remote_ocr": remote_ocr},
             headers={"trigger_source": PaperlessTask.TriggerSource.MANUAL},
         )
 

src/documents/consumer.py

@@ -53,6 +53,7 @@ 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
@@ -451,12 +452,19 @@ 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:
@@ -465,6 +473,16 @@ 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

@@ -34,6 +34,7 @@ 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":
         """
@@ -57,6 +58,8 @@ 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/migrations/0023_alter_workflowaction_type.py

@@ -0,0 +1,30 @@
+# 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", "0022_add_perf_indexes"),
+    ]
+
+    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/0024_workflowaction_apply_ai_suggestions.py

@@ -0,0 +1,84 @@
+# 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", "0023_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

@@ -695,6 +695,7 @@ 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,
@@ -1599,6 +1600,22 @@ 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"),
@@ -1837,6 +1854,33 @@ 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/serialisers.py

@@ -1744,7 +1744,7 @@ class DeleteDocumentsSerializer(DocumentSelectionSerializer):
 
 
 class ReprocessDocumentsSerializer(DocumentSelectionSerializer):
-    pass
+    remote_ocr = serializers.BooleanField(required=False, default=False)
 
 
 class BulkEditSerializer(
@@ -2086,6 +2086,13 @@ 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")
@@ -2150,6 +2157,8 @@ 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
 
@@ -3175,6 +3184,9 @@ class WorkflowActionSerializer(serializers.ModelSerializer[WorkflowAction]):
             "email",
             "webhook",
             "passwords",
+            "ai_suggestion_fields",
+            "ai_create_missing",
+            "ai_overwrite_existing",
         ]
 
     def validate(self, attrs):
@@ -3213,13 +3225,6 @@ class WorkflowActionSerializer(serializers.ModelSerializer[WorkflowAction]):
                         {"assign_title": f'Invalid f-string detected: "{e.args[0]}"'},
                     )
 
-        if attrs.get("assign_custom_fields_values"):
-            # Empty strings treated as None to avoid unexpected behavior
-            attrs["assign_custom_fields_values"] = {
-                field_id: (None if value == "" else value)
-                for field_id, value in attrs["assign_custom_fields_values"].items()
-            }
-
         if (
             "type" in attrs
             and attrs["type"] == WorkflowAction.WorkflowActionType.EMAIL
@@ -3255,6 +3260,23 @@ 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
 
 
@@ -3275,6 +3297,40 @@ class WorkflowSerializer(serializers.ModelSerializer[Workflow]):
             "actions",
         ]
 
+    def validate(self, attrs):
+        attrs = super().validate(attrs)
+
+        triggers = attrs.get("triggers") or []
+        actions = attrs.get("actions") or []
+
+        # Remote OCR can only work with consumption triggers
+        if any(
+            action.get("type") == WorkflowAction.WorkflowActionType.REMOTE_OCR
+            for action in actions
+        ) and not any(
+            trigger.get("type") == WorkflowTrigger.WorkflowTriggerType.CONSUMPTION
+            for trigger in triggers
+        ):
+            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 any(
+            action.get("type") == WorkflowAction.WorkflowActionType.APPLY_AI_SUGGESTIONS
+            for action in actions
+        ) and not any(
+            trigger.get("type") != WorkflowTrigger.WorkflowTriggerType.CONSUMPTION
+            for trigger in triggers
+        ):
+            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

@@ -971,6 +971,39 @@ 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
@@ -1026,6 +1059,7 @@ 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] = {
@@ -1079,6 +1113,12 @@ 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

@@ -66,6 +66,7 @@ from documents.utils import compute_checksum
 from documents.utils import identity
 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
@@ -337,10 +338,17 @@ def bulk_update_documents(document_ids) -> None:
 
 
 @shared_task
-def update_document_content_maybe_archive_file(document_id) -> None:
+def update_document_content_maybe_archive_file(
+    document_id,
+    *,
+    remote_ocr: bool = False,
+) -> 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)
 
@@ -350,6 +358,7 @@ def update_document_content_maybe_archive_file(document_id) -> None:
         mime_type,
         document.original_filename or "",
         document.source_path,
+        allow_remote=remote_ocr or RemoteOCRConfig().remote_ocr_by_default,
     )
 
     if not parser_class:
@@ -704,6 +713,45 @@ def llmindex_index(
     )
 
 
+@shared_task(
+    bind=True,
+    autoretry_for=(Exception,),
+    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/test_api_app_config.py

@@ -72,6 +72,10 @@ 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,
@@ -870,6 +874,49 @@ 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

@@ -532,7 +532,29 @@ class TestBulkEditAPI(DirectoriesMixin, APITestCase):
         m.assert_called_once()
         args, kwargs = m.call_args
         self.assertEqual(args[0], [self.doc1.id])
-        self.assertEqual(len(kwargs), 0)
+        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})
 
     @mock.patch("documents.serialisers.bulk_edit.set_storage_path")
     def test_api_set_storage_path(self, m) -> None:
@@ -1553,6 +1575,29 @@ 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_uisettings.py

@@ -60,6 +60,10 @@ class TestApiUiSettings(DirectoriesMixin, APITestCase):
                 },
                 "email_enabled": False,
                 "ai_enabled": False,
+                "remote_ocr": {
+                    "configured": False,
+                    "mode": "always",
+                },
             },
         )
 
@@ -154,6 +158,50 @@ 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

@@ -390,6 +390,221 @@ 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 _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:
@@ -422,11 +637,6 @@ class TestApiWorkflows(DirectoriesMixin, APITestCase):
             json.dumps(
                 {
                     "assign_title": "",
-                    "assign_custom_fields": [self.cf1.id, self.cf2.id],
-                    "assign_custom_fields_values": {
-                        str(self.cf1.id): "",
-                        str(self.cf2.id): 0,
-                    },
                 },
             ),
             content_type="application/json",
@@ -434,10 +644,6 @@ class TestApiWorkflows(DirectoriesMixin, APITestCase):
         self.assertEqual(response.status_code, status.HTTP_201_CREATED)
         action = WorkflowAction.objects.get(id=response.data["id"])
         self.assertIsNone(action.assign_title)
-        self.assertEqual(
-            action.assign_custom_fields_values,
-            {str(self.cf1.id): None, str(self.cf2.id): 0},
-        )
 
         response = self.client.post(
             self.ENDPOINT_TRIGGERS,

src/documents/tests/test_bulk_edit.py

@@ -1782,3 +1782,56 @@ 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

@@ -1559,6 +1559,72 @@ 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()
@@ -1566,6 +1632,20 @@ 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

@@ -385,6 +385,25 @@ 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

@@ -14,6 +14,7 @@ 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
@@ -287,6 +288,45 @@ 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,
@@ -408,3 +448,110 @@ 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

@@ -31,7 +31,9 @@ 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.exceptions import LLMTimeoutError
 
 if TYPE_CHECKING:
     from django.db.models import QuerySet
@@ -2000,55 +2002,6 @@ class TestWorkflows(
                 r"Doc added in \w{3,}",
             )  # Match any 3-letter month name
 
-    def test_document_updated_workflow_existing_custom_field_empty_value(self) -> None:
-        """
-        GIVEN:
-            - Existing workflow with UPDATED trigger and action that assigns a custom field
-              with an empty value
-        WHEN:
-            - Document is updated that already contains the field with a value
-        THEN:
-            - The existing value is left untouched, see GH #13627
-        """
-        trigger = WorkflowTrigger.objects.create(
-            type=WorkflowTrigger.WorkflowTriggerType.DOCUMENT_UPDATED,
-            filter_has_document_type=self.dt,
-        )
-        action = WorkflowAction.objects.create()
-        action.assign_custom_fields.add(self.cf1)
-        action.assign_custom_fields_values = {self.cf1.pk: ""}
-        action.save()
-        w = Workflow.objects.create(
-            name="Workflow 1",
-            order=0,
-        )
-        w.triggers.add(trigger)
-        w.actions.add(action)
-        w.save()
-
-        doc = Document.objects.create(
-            title="sample test",
-            correspondent=self.c,
-            original_filename="sample.pdf",
-        )
-        CustomFieldInstance.objects.create(
-            document=doc,
-            field=self.cf1,
-            value_text="existing value",
-        )
-
-        superuser = User.objects.create_superuser("superuser")
-        self.client.force_authenticate(user=superuser)
-
-        self.client.patch(
-            f"/api/documents/{doc.id}/",
-            {"document_type": self.dt.id},
-            format="json",
-        )
-
-        doc.refresh_from_db()
-        self.assertEqual(doc.custom_fields.get(field=self.cf1).value, "existing value")
-
     def test_document_updated_workflow_existing_custom_field(self) -> None:
         """
         GIVEN:
@@ -5409,3 +5362,493 @@ 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 = {
+    "title": "Suggested Title",
+    "tags": ["Existing Tag", "Suggested Tag"],
+    "correspondents": ["Existing Correspondent", "Suggested Correspondent"],
+    "document_types": ["Suggested Document Type"],
+    "storage_paths": ["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) -> 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_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/views.py

@@ -236,12 +236,15 @@ 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
@@ -653,20 +656,6 @@ 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,
@@ -1528,7 +1517,10 @@ 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, request=request)
+        output_language = get_llm_output_language(
+            ai_config=ai_config,
+            user=request.user,
+        )
         llm_cache_backend = ":".join(
             part
             for part in (
@@ -2267,13 +2259,16 @@ class ChatStreamingView(GenericAPIView[Any]):
             if not has_perms_owner_aware(request.user, "view_document", document):
                 return HttpResponseForbidden("Insufficient permissions")
 
-            documents = Document.objects.filter(pk=document.pk)
+            documents = [document]
         else:
             documents = Document.objects.filter(
                 id__in=permitted_document_ids(request.user),
             )
 
-        output_language = _get_llm_output_language(ai_config=ai_config, request=request)
+        output_language = get_llm_output_language(
+            ai_config=ai_config,
+            user=request.user,
+        )
 
         response = StreamingHttpResponse(
             stream_chat_with_documents(
@@ -4010,6 +4005,11 @@ 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

@@ -0,0 +1,241 @@
+import logging
+from datetime import date
+from datetime import datetime
+
+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 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
+
+logger = logging.getLogger("paperless.workflows.ai")
+
+AISuggestionField = WorkflowAction.AISuggestionField
+
+# 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,
+    names: list[str],
+    matched: list,
+    *,
+    create_missing: bool,
+    owner: User | 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.get("title") or "").strip()
+        if title:
+            # title is capped at 128 characters
+            document.title = title[:128]
+            updated_fields.append("title")
+
+    if should_set(AISuggestionField.CORRESPONDENT):
+        names = suggestions.get("correspondents", [])
+        correspondent = resolve_object(
+            Correspondent,
+            names,
+            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):
+        names = suggestions.get("document_types", [])
+        document_type = resolve_object(
+            DocumentType,
+            names,
+            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):
+        names = suggestions.get("storage_paths", [])
+        storage_path = resolve_object(
+            StoragePath,
+            names,
+            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.get("dates", []))
+        if created:
+            document.created = created
+            updated_fields.append("created")
+
+    if updated_fields:
+        # save fields and update modified
+        document.save(update_fields=[*updated_fields, "modified"])
+
+    if AISuggestionField.TAGS in selected:
+        names = suggestions.get("tags", [])
+        tags = resolve_tags(
+            names,
+            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")
+
+    logger.info(
+        "Applied AI suggestions %s to document %s",
+        updated_fields or "(none)",
+        document.pk,
+        extra={"group": logging_group},
+    )
+
+    return updated_fields

src/documents/workflows/mutations.py

@@ -105,8 +105,7 @@ def apply_assignment_to_document(
                 field=field,
                 document=document,
             ).first()
-            # empty string is indistinguishable from no value in the UI
+            if instance and args[value_field_name] is not None:
-            if instance and args[value_field_name] not in (None, ""):
                 setattr(instance, value_field_name, args[value_field_name])
                 instance.save()
             elif not instance:

src/paperless/checks.py

@@ -339,16 +339,30 @@ def check_deprecated_v2_ocr_env_vars(
 
 @register()
 def check_remote_parser_configured(app_configs: Any, **kwargs: Any) -> list[Error]:
+    # Import here because checks.py runs before the app registry is ready
+    from paperless.models import RemoteOCRMode
+
+    errors = []
+
     if settings.REMOTE_OCR_ENGINE == "azureai" and not (
         settings.REMOTE_OCR_ENDPOINT and settings.REMOTE_OCR_API_KEY
     ):
-        return [
+        errors.append(
             Error(
                 "Azure AI remote parser requires endpoint and API key to be configured.",
             ),
-        ]
+        )
 
-    return []
+    valid_modes = {mode.value for mode in RemoteOCRMode}
+    if settings.REMOTE_OCR_MODE not in valid_modes:
+        errors.append(
+            Error(
+                f"PAPERLESS_REMOTE_OCR_MODE is set to {settings.REMOTE_OCR_MODE!r}, "
+                f"expected one of {sorted(valid_modes)}.",
+            ),
+        )
+
+    return errors
 
 
 def get_tesseract_langs():

src/paperless/config.py

@@ -9,6 +9,7 @@ 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
@@ -185,6 +186,45 @@ 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

@@ -0,0 +1,44 @@
+# 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

@@ -0,0 +1,27 @@
+# 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

@@ -74,6 +74,23 @@ 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"))
@@ -286,6 +303,44 @@ 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

@@ -134,6 +134,11 @@ 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.
     """
 
     # ------------------------------------------------------------------
@@ -145,6 +150,10 @@ 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

@@ -334,6 +334,8 @@ 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.
 
@@ -359,6 +361,11 @@ 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
         -------
@@ -374,6 +381,13 @@ 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

@@ -3,9 +3,7 @@ Built-in remote-OCR document parser.
 
 Handles documents by sending them to a configured remote OCR engine
 (currently Azure AI Vision / Document Intelligence) and retrieving both
-the extracted text and a searchable PDF with an embedded text layer. For
+the extracted text and a searchable PDF with an embedded text layer.
-born-digital PDFs that need no archive copy, the remote call is skipped
-entirely in favor of locally-extracted text (see ``RemoteDocumentParser.parse``).
 
 When no engine is configured, ``score()`` returns ``None`` so the parser
 is effectively invisible to the registry — the tesseract parser handles
@@ -24,8 +22,6 @@ from typing import Self
 from django.conf import settings
 
 from documents.parsers import ParseError
-from paperless.parsers.utils import extract_pdf_text
-from paperless.parsers.utils import post_process_text
 from paperless.version import __full_version_str__
 
 if TYPE_CHECKING:
@@ -61,6 +57,18 @@ 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 (
@@ -74,11 +82,8 @@ class RemoteDocumentParser:
     """Parse documents via a remote OCR API (currently Azure AI Vision).
 
     This parser sends documents to a remote engine that returns both
-    extracted text and a searchable PDF with an embedded text layer,
+    extracted text and a searchable PDF with an embedded text layer.
-    except when ``parse()`` is called with ``produce_archive=False`` for
+    It does not depend on Tesseract or ocrmypdf.
-    a PDF, in which case the remote call is skipped and only locally
-    extracted text is returned (no archive). It does not depend on
-    Tesseract or ocrmypdf.
 
     Class attributes
     ----------------
@@ -90,6 +95,9 @@ 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"
@@ -97,6 +105,8 @@ class RemoteDocumentParser:
     author: str = "Paperless-ngx Contributors"
     url: str = "https://github.com/paperless-ngx/paperless-ngx"
 
+    uses_remote_service: bool = True
+
     # ------------------------------------------------------------------
     # Class methods
     # ------------------------------------------------------------------
@@ -145,11 +155,7 @@ class RemoteDocumentParser:
             20 when the remote engine is configured and the MIME type is
             supported, otherwise None.
         """
-        config = RemoteEngineConfig(
+        config = RemoteEngineConfig.from_app_config()
-            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:
@@ -167,11 +173,8 @@ class RemoteDocumentParser:
         Returns
         -------
         bool
-            Always True — the remote engine is capable of returning a PDF
+            Always True — the remote engine always returns a PDF with an
-            with an embedded text layer to serve as the archive copy.
+            embedded text layer that serves as the archive copy.
-            Whether it actually does so for a given document depends on
-            ``produce_archive`` passed to :meth:`parse` (see there for when
-            the remote engine call, and thus archive generation, is skipped).
         """
         return True
 
@@ -228,12 +231,6 @@ class RemoteDocumentParser:
     ) -> None:
         """Send the document to the remote engine and store results.
 
-        When *produce_archive* is False for a PDF, the caller (via
-        ``documents.consumer.should_produce_archive``) has already determined
-        that the document is born-digital and needs no archive — skip the
-        remote engine entirely rather than re-OCRing it and creating a
-        duplicate text layer.
-
         Parameters
         ----------
         document_path:
@@ -241,14 +238,10 @@ class RemoteDocumentParser:
         mime_type:
             Detected MIME type of the document.
         produce_archive:
-            Whether an archive copy is wanted. For PDFs, False skips the
+            Ignored — the remote engine always returns a searchable PDF,
-            remote engine and uses locally-extracted text instead.
+            which is stored as the archive copy regardless of this flag.
         """
-        config = RemoteEngineConfig(
+        config = RemoteEngineConfig.from_app_config()
-            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(
@@ -257,16 +250,6 @@ class RemoteDocumentParser:
             self._text = ""
             return
 
-        if not produce_archive and mime_type == "application/pdf":
-            logger.debug(
-                "Remote OCR: skipped — no archive requested, "
-                "using locally-extracted text",
-            )
-            self._text = (
-                post_process_text(extract_pdf_text(document_path, log=logger)) or ""
-            )
-            return
-
         if config.engine == "azureai":
             self._text = self._azure_ai_vision_parse(document_path, config)
 

src/paperless/serialisers.py

@@ -219,6 +219,13 @@ 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
@@ -230,11 +237,13 @@ class ApplicationConfigurationSerializer(
             data["language"] = None
         if "llm_output_language" in data and data["llm_output_language"] == "":
             data["llm_output_language"] = None
-        if "llm_api_key" in data and data["llm_api_key"] is not None:
+        for field in self.OBFUSCATED_FIELDS:
-            if data["llm_api_key"] == "":
+            if field in data and data[field] is not None:
-                data["llm_api_key"] = None
+                if data[field] == "":
-            elif len(data["llm_api_key"].replace("*", "")) == 0:
+                    data[field] = None
-                del data["llm_api_key"]
+                # Not a real value, don't overwrite the stored one
+                elif len(data[field].replace("*", "")) == 0:
+                    del data[field]
         return super().run_validation(data)
 
     def update(self, instance, validated_data):

src/paperless/settings/__init__.py

@@ -1197,6 +1197,7 @@ 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 = os.getenv("PAPERLESS_REMOTE_OCR_MODE", "always")
 
 ################################################################################
 # AI Settings                                                                  #

src/paperless/tests/parsers/test_remote_parser.py

@@ -21,6 +21,7 @@ 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
@@ -33,6 +34,10 @@ if TYPE_CHECKING:
     from pytest_mock import MockerFixture
 
 
+# Remote ocr config from ApplicationConfiguration needs DB access
+pytestmark = pytest.mark.django_db
+
+
 # ---------------------------------------------------------------------------
 # Module-local fixtures
 # ---------------------------------------------------------------------------
@@ -227,6 +232,18 @@ class TestRemoteParserScore:
         score = RemoteDocumentParser.score("application/pdf", "doc.pdf")
         assert score is not None and score > 10
 
+    @pytest.mark.usefixtures("no_engine_settings")
+    def test_score_uses_app_config_when_env_unset(self) -> None:
+        """The app config alone is enough to activate the parser."""
+        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
@@ -337,117 +354,6 @@ class TestRemoteParserParse:
         assert remote_parser.get_date() is None
 
 
-# ---------------------------------------------------------------------------
-# parse() — produce_archive=False skips the remote engine (PDFs only)
-# ---------------------------------------------------------------------------
-
-
-class TestRemoteParserSkipsWhenNoArchiveWanted:
-    """When the caller has already decided no archive is needed for a PDF
-    (documents.consumer.should_produce_archive), the remote engine call is
-    skipped entirely in favor of locally-extracted text.
-    """
-
-    def test_pdf_skips_azure_when_no_archive_requested(
-        self,
-        remote_parser: RemoteDocumentParser,
-        simple_digital_pdf_file: Path,
-        azure_client: Mock,
-    ) -> None:
-        """
-        GIVEN: produce_archive=False for a PDF
-        WHEN:  parse() is called
-        THEN:  Azure is never invoked, no archive is produced, and text
-               comes from local pdftotext extraction
-        """
-        remote_parser.parse(
-            simple_digital_pdf_file,
-            "application/pdf",
-            produce_archive=False,
-        )
-
-        azure_client.begin_analyze_document.assert_not_called()
-        assert remote_parser.get_archive_path() is None
-        assert remote_parser.get_text() != ""
-
-    def test_pdf_no_archive_requested_text_matches_local_extraction(
-        self,
-        remote_parser: RemoteDocumentParser,
-        simple_digital_pdf_file: Path,
-        azure_client: Mock,
-        mocker: MockerFixture,
-    ) -> None:
-        """
-        GIVEN: produce_archive=False for a PDF
-        WHEN:  parse() is called
-        THEN:  the returned text is exactly the locally-extracted text,
-               not anything from the (unused) Azure mock
-        """
-        mocker.patch(
-            "paperless.parsers.remote.extract_pdf_text",
-            return_value="Local digital text.",
-        )
-
-        remote_parser.parse(
-            simple_digital_pdf_file,
-            "application/pdf",
-            produce_archive=False,
-        )
-
-        assert remote_parser.get_text() == "Local digital text."
-
-    def test_pdf_no_archive_requested_closes_no_client(
-        self,
-        remote_parser: RemoteDocumentParser,
-        simple_digital_pdf_file: Path,
-        azure_client: Mock,
-    ) -> None:
-        remote_parser.parse(
-            simple_digital_pdf_file,
-            "application/pdf",
-            produce_archive=False,
-        )
-
-        azure_client.close.assert_not_called()
-
-    def test_non_pdf_still_calls_azure_when_no_archive_requested(
-        self,
-        remote_parser: RemoteDocumentParser,
-        simple_digital_pdf_file: Path,
-        azure_client: Mock,
-    ) -> None:
-        """
-        Images have no local-text fallback, so produce_archive=False does
-        not skip the remote engine for non-PDF MIME types.
-        """
-        remote_parser.parse(
-            simple_digital_pdf_file,
-            "image/png",
-            produce_archive=False,
-        )
-
-        azure_client.begin_analyze_document.assert_called_once()
-        assert remote_parser.get_text() == _DEFAULT_TEXT
-
-    @pytest.mark.usefixtures("no_engine_settings")
-    def test_unconfigured_engine_takes_precedence_over_skip(
-        self,
-        remote_parser: RemoteDocumentParser,
-        simple_digital_pdf_file: Path,
-    ) -> None:
-        """An unconfigured engine still short-circuits before the
-        produce_archive check, returning empty text as before.
-        """
-        remote_parser.parse(
-            simple_digital_pdf_file,
-            "application/pdf",
-            produce_archive=False,
-        )
-
-        assert remote_parser.get_text() == ""
-        assert remote_parser.get_archive_path() is None
-
-
 # ---------------------------------------------------------------------------
 # parse() — Azure failure path
 # ---------------------------------------------------------------------------

src/paperless/tests/parsers/test_tesseract_parser.py

@@ -1277,6 +1277,8 @@ 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

@@ -655,6 +655,23 @@ class TestRemoteParserChecks:
             in msg.msg
         )
 
+    def test_valid_mode(self, settings: SettingsWrapper) -> None:
+        settings.REMOTE_OCR_ENGINE = None
+        settings.REMOTE_OCR_MODE = "workflow_only"
+
+        msgs = check_remote_parser_configured(None)
+
+        assert len(msgs) == 0
+
+    def test_invalid_mode(self, settings: SettingsWrapper) -> None:
+        settings.REMOTE_OCR_ENGINE = None
+        settings.REMOTE_OCR_MODE = "sometimes"
+
+        msgs = check_remote_parser_configured(None)
+
+        assert len(msgs) == 1
+        assert "PAPERLESS_REMOTE_OCR_MODE is set to 'sometimes'" in msgs[0].msg
+
 
 class TestTesseractChecks:
     def test_default_language(self) -> None:

src/paperless/tests/test_registry.py

@@ -468,6 +468,124 @@ 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

@@ -0,0 +1,113 @@
+"""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

@@ -23,6 +23,22 @@ 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/chat.py

@@ -2,8 +2,6 @@ import json
 import logging
 import sys
 
-from django.db.models import QuerySet
-
 from documents.models import Document
 from paperless.config import AIConfig
 from paperless_ai.client import AIClient
@@ -84,21 +82,10 @@ def _build_document_reference(
 
 
 def _get_document_references(
-    documents: QuerySet[Document],
+    documents: list[Document],
     top_nodes: list,
 ) -> list[dict[str, int | str]]:
-    candidate_ids: set[int] = set()
+    allowed_documents = {doc.pk: doc for doc in documents}
-    for node in top_nodes:
-        try:
-            candidate_ids.add(int(node.metadata["document_id"]))
-        except (KeyError, TypeError, ValueError):  # pragma: no cover
-            continue
-
-    if not candidate_ids:
-        return []
-
-    allowed_documents = {doc.pk: doc for doc in documents.filter(pk__in=candidate_ids)}
-
     references: list[dict[str, int | str]] = []
     seen_document_ids: set[int] = set()
 
@@ -132,7 +119,7 @@ def _format_chat_metadata_trailer(references: list[dict[str, int | str]]) -> str
 
 def stream_chat_with_documents(
     query_str: str,
-    documents: QuerySet[Document],
+    documents: list[Document],
     output_language: str | None = None,
 ):
     try:
@@ -148,10 +135,10 @@ def stream_chat_with_documents(
 
 def _stream_chat_with_documents(
     query_str: str,
-    documents: QuerySet[Document],
+    documents: list[Document],
     output_language: str | None = None,
 ):
-    if not documents.exists():
+    if not documents:
         yield CHAT_NO_CONTENT_MESSAGE
         return
 
@@ -161,9 +148,7 @@ def _stream_chat_with_documents(
     from llama_index.core.retrievers import VectorIndexRetriever
 
     config = AIConfig()
-    filters = _document_id_filters(
+    filters = _document_id_filters(str(doc.pk) for doc in documents)
-        str(pk) for pk in documents.values_list("pk", flat=True)
-    )
 
     # Hold the shared read lock for the whole operation: the query engine
     # retrieves from the vector store again during synthesis, so the connection

src/paperless_ai/matching.py

@@ -8,45 +8,48 @@ from documents.models import Correspondent
 from documents.models import DocumentType
 from documents.models import StoragePath
 from documents.models import Tag
-from documents.permissions import get_objects_for_user_owner_aware
+from documents.permissions import permitted_object_ids
 
 MATCH_THRESHOLD = 0.8
 
 logger = logging.getLogger("paperless_ai.matching")
 
+# Note: with a None user, e.g. a workflow acting on an unowned document,
+# permitted_object_ids returns unowned objects only, so it won't return
+# someone's private tag.
 
-def match_tags_by_name(names: list[str], user: User) -> list[Tag]:
+
-    queryset = get_objects_for_user_owner_aware(
+def match_tags_by_name(names: list[str], user: User | None) -> list[Tag]:
-        user,
+    queryset = Tag.objects.filter(id__in=permitted_object_ids(user, Tag, "view_tag"))
-        ["view_tag"],
+    return _match_names_to_queryset(names, queryset, "name")
-        Tag,
+
+
+def match_correspondents_by_name(
+    names: list[str],
+    user: User | None,
+) -> list[Correspondent]:
+    queryset = Correspondent.objects.filter(
+        id__in=permitted_object_ids(user, Correspondent, "view_correspondent"),
     )
     return _match_names_to_queryset(names, queryset, "name")
 
 
-def match_correspondents_by_name(names: list[str], user: User) -> list[Correspondent]:
+def match_document_types_by_name(
-    queryset = get_objects_for_user_owner_aware(
+    names: list[str],
-        user,
+    user: User | None,
-        ["view_correspondent"],
+) -> list[DocumentType]:
-        Correspondent,
+    queryset = DocumentType.objects.filter(
+        id__in=permitted_object_ids(user, DocumentType, "view_documenttype"),
     )
     return _match_names_to_queryset(names, queryset, "name")
 
 
-def match_document_types_by_name(names: list[str], user: User) -> list[DocumentType]:
+def match_storage_paths_by_name(
-    queryset = get_objects_for_user_owner_aware(
+    names: list[str],
-        user,
+    user: User | None,
-        ["view_documenttype"],
+) -> list[StoragePath]:
-        DocumentType,
+    queryset = StoragePath.objects.filter(
-    )
+        id__in=permitted_object_ids(user, StoragePath, "view_storagepath"),
-    return _match_names_to_queryset(names, queryset, "name")
-
-
-def match_storage_paths_by_name(names: list[str], user: User) -> list[StoragePath]:
-    queryset = get_objects_for_user_owner_aware(
-        user,
-        ["view_storagepath"],
-        StoragePath,
     )
     return _match_names_to_queryset(names, queryset, "name")
 

src/paperless_ai/tests/test_chat.py

@@ -3,12 +3,10 @@ from unittest.mock import MagicMock
 from unittest.mock import patch
 
 import pytest
-from django.db.models.signals import post_init
 from llama_index.core import settings as llama_settings
 from llama_index.core.embeddings.mock_embed_model import MockEmbedding
 from llama_index.core.schema import TextNode
 
-from documents.models import Document
 from documents.tests.factories import DocumentFactory
 from paperless_ai import chat
 from paperless_ai import indexing
@@ -38,6 +36,16 @@ def patch_embed_nodes():
         yield mock_embed_nodes
 
 
+@pytest.fixture
+def mock_document():
+    doc = MagicMock()
+    doc.pk = 1
+    doc.title = "Test Document"
+    doc.filename = "test_file.pdf"
+    doc.content = "This is the document content."
+    return doc
+
+
 def assert_chat_output(
     output: list[str],
     *,
@@ -53,13 +61,6 @@ def assert_chat_output(
     }
 
 
-def _fake_documents_queryset(pks: list[int]) -> MagicMock:
-    qs = MagicMock()
-    qs.exists.return_value = bool(pks)
-    qs.values_list.return_value = pks
-    return qs
-
-
 @pytest.mark.parametrize(
     ("output_language", "expected_language_line"),
     [
@@ -106,10 +107,9 @@ def test_build_refine_prompt(
 
 @pytest.mark.django_db
 def test_stream_chat_with_one_document_retrieval(
+    mock_document,
     patch_embed_nodes,
 ) -> None:
-    document = DocumentFactory.create(title="Test Document", content="ignored")
-    documents = Document.objects.filter(pk=document.pk)
     with (
         patch("paperless_ai.chat.AIClient") as mock_client_cls,
         patch("paperless_ai.chat.load_or_build_index") as mock_load_index,
@@ -124,19 +124,22 @@ def test_stream_chat_with_one_document_retrieval(
         mock_client_cls.return_value = mock_client
         mock_client.llm = MagicMock()
 
+        mock_node = TextNode(
+            text="This is node content.",
+            metadata={"document_id": str(mock_document.pk), "title": "Test Document"},
+        )
         mock_index = MagicMock()
-        mock_index.vector_store.get_nodes.return_value = [
+        # Simulate get_nodes returning nodes (content exists)
-            TextNode(
+        mock_index.vector_store.get_nodes.return_value = [mock_node]
-                text="This is node content.",
-                metadata={"document_id": str(document.pk), "title": "Test Document"},
-            ),
-        ]
         mock_load_index.return_value = mock_index
 
         mock_retriever_instance = MagicMock()
         mock_retriever_instance.retrieve.return_value = [
             MagicMock(
-                metadata={"document_id": str(document.pk), "title": "Test Document"},
+                metadata={
+                    "document_id": str(mock_document.pk),
+                    "title": "Test Document",
+                },
             ),
         ]
 
@@ -150,7 +153,7 @@ def test_stream_chat_with_one_document_retrieval(
             "llama_index.core.retrievers.VectorIndexRetriever",
             return_value=mock_retriever_instance,
         ):
-            output = list(stream_chat_with_documents("What is this?", documents))
+            output = list(stream_chat_with_documents("What is this?", [mock_document]))
 
         mock_query_engine.query.assert_called_once_with("What is this?")
         synthesizer_kwargs = mock_get_response_synthesizer.call_args.kwargs
@@ -163,16 +166,13 @@ def test_stream_chat_with_one_document_retrieval(
             output,
             expected_chunks=["chunk1", "chunk2"],
             expected_references=[
-                {"id": document.pk, "title": "Test Document"},
+                {"id": mock_document.pk, "title": "Test Document"},
             ],
         )
 
 
 @pytest.mark.django_db
 def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> None:
-    doc1 = DocumentFactory.create(title="Document 1", content="ignored")
-    doc2 = DocumentFactory.create(title="Document 2", content="ignored")
-    documents = Document.objects.filter(pk__in=[doc1.pk, doc2.pk])
     with (
         patch("paperless_ai.chat.AIClient") as mock_client_cls,
         patch("paperless_ai.chat.load_or_build_index") as mock_load_index,
@@ -184,23 +184,23 @@ def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> Non
         mock_client_cls.return_value = mock_client
         mock_client.llm = MagicMock()
 
+        mock_node1 = TextNode(
+            text="Content for doc 1.",
+            metadata={"document_id": "1", "title": "Document 1"},
+        )
+        mock_node2 = TextNode(
+            text="Content for doc 2.",
+            metadata={"document_id": "2", "title": "Document 2"},
+        )
         mock_index = MagicMock()
-        mock_index.vector_store.get_nodes.return_value = [
+        # Simulate get_nodes returning nodes (content exists)
-            TextNode(
+        mock_index.vector_store.get_nodes.return_value = [mock_node1, mock_node2]
-                text="Content for doc 1.",
-                metadata={"document_id": str(doc1.pk), "title": "Document 1"},
-            ),
-            TextNode(
-                text="Content for doc 2.",
-                metadata={"document_id": str(doc2.pk), "title": "Document 2"},
-            ),
-        ]
         mock_load_index.return_value = mock_index
 
         mock_retriever_instance = MagicMock()
         mock_retriever_instance.retrieve.return_value = [
-            MagicMock(metadata={"document_id": str(doc1.pk), "title": "Document 1"}),
+            MagicMock(metadata={"document_id": "1", "title": "Document 1"}),
-            MagicMock(metadata={"document_id": str(doc2.pk), "title": "Document 2"}),
+            MagicMock(metadata={"document_id": "2", "title": "Document 2"}),
         ]
 
         mock_response_stream = MagicMock()
@@ -210,11 +210,14 @@ def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> Non
         mock_query_engine_cls.return_value = mock_query_engine
         mock_query_engine.query.return_value = mock_response_stream
 
+        doc1 = MagicMock(pk=1, title="Document 1", filename="doc1.pdf")
+        doc2 = MagicMock(pk=2, title="Document 2", filename="doc2.pdf")
+
         with patch(
             "llama_index.core.retrievers.VectorIndexRetriever",
             return_value=mock_retriever_instance,
         ):
-            output = list(stream_chat_with_documents("What's up?", documents))
+            output = list(stream_chat_with_documents("What's up?", [doc1, doc2]))
 
         mock_query_engine.query.assert_called_once_with("What's up?")
         patch_embed_nodes.assert_not_called()
@@ -222,15 +225,15 @@ def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> Non
             output,
             expected_chunks=["chunk1", "chunk2"],
             expected_references=[
-                {"id": doc1.pk, "title": "Document 1"},
+                {"id": 1, "title": "Document 1"},
-                {"id": doc2.pk, "title": "Document 2"},
+                {"id": 2, "title": "Document 2"},
             ],
         )
 
 
 def test_stream_chat_empty_document_list() -> None:
     with patch("paperless_ai.chat.load_or_build_index") as mock_load_index:
-        output = list(stream_chat_with_documents("Any info?", Document.objects.none()))
+        output = list(stream_chat_with_documents("Any info?", []))
         mock_load_index.assert_not_called()
         assert output == ["Sorry, I couldn't find any content to answer your question."]
 
@@ -250,9 +253,7 @@ def test_stream_chat_no_matching_nodes() -> None:
         mock_index.vector_store.get_nodes.return_value = []
         mock_load_index.return_value = mock_index
 
-        output = list(
+        output = list(stream_chat_with_documents("Any info?", [MagicMock(pk=1)]))
-            stream_chat_with_documents("Any info?", _fake_documents_queryset([1])),
-        )
 
         assert output == ["Sorry, I couldn't find any content to answer your question."]
 
@@ -281,9 +282,7 @@ def test_stream_chat_unexpected_failure_returns_generic_error(caplog) -> None:
             )
             mock_retriever_cls.return_value = mock_retriever
 
-            output = list(
+            output = list(stream_chat_with_documents("Any info?", [MagicMock(pk=1)]))
-                stream_chat_with_documents("Any info?", _fake_documents_queryset([1])),
-            )
 
         assert output == [CHAT_ERROR_MESSAGE]
         assert "Failed to stream document chat response" in caplog.text
@@ -299,12 +298,7 @@ class TestStreamChatRetrieval:
     ) -> None:
         doc = DocumentFactory.create(content="hello world")
         # Nothing indexed for this document yet.
-        out = list(
+        out = list(chat.stream_chat_with_documents("question?", [doc]))
-            chat.stream_chat_with_documents(
-                "question?",
-                Document.objects.filter(pk=doc.pk),
-            ),
-        )
         assert chat.CHAT_NO_CONTENT_MESSAGE in out
 
     def test_chat_filter_contains_only_requested_document_ids(
@@ -338,12 +332,7 @@ class TestStreamChatRetrieval:
             side_effect=capture_retriever,
         )
 
-        list(
+        list(chat.stream_chat_with_documents("question?", [included]))
-            chat.stream_chat_with_documents(
-                "question?",
-                Document.objects.filter(pk=included.pk),
-            ),
-        )
 
         assert captured_filters, "VectorIndexRetriever was never constructed"
         filt = captured_filters[0]
@@ -351,47 +340,3 @@ class TestStreamChatRetrieval:
         filter_values = filt.filters[0].value
         assert str(included.pk) in filter_values
         assert str(excluded.pk) not in filter_values
-
-    @pytest.mark.django_db
-    def test_get_document_references_only_queries_referenced_documents(
-        self,
-        django_assert_num_queries,
-    ) -> None:
-        """Building references must not hydrate every document the caller is
-        permitted to see -- only the (<= CHAT_RETRIEVER_TOP_K) documents that
-        the retriever actually returned nodes for.
-        """
-        referenced = DocumentFactory.create(title="Referenced Document")
-        # Many more documents are "accessible" but never referenced by a node.
-        DocumentFactory.create_batch(200)
-
-        documents = Document.objects.all()
-        top_nodes = [
-            MagicMock(
-                metadata={
-                    "document_id": str(referenced.pk),
-                    "title": "Referenced Document",
-                },
-            ),
-        ]
-
-        hydrated_count = 0
-
-        def _count_hydration(sender, instance, **kwargs):
-            nonlocal hydrated_count
-            hydrated_count += 1
-
-        post_init.connect(_count_hydration, sender=Document)
-        try:
-            # One query: `documents.filter(pk__in=candidate_ids)` for the single
-            # referenced id. No query should scale with the 200 unreferenced documents.
-            with django_assert_num_queries(1):
-                references = chat._get_document_references(documents, top_nodes)
-        finally:
-            post_init.disconnect(_count_hydration, sender=Document)
-
-        # The bug this guards against: the old code hydrated all 201 accessible
-        # documents via `{doc.pk: doc for doc in documents}` before filtering by
-        # top_nodes. Only the referenced document should ever be constructed.
-        assert hydrated_count == 1
-        assert references == [{"id": referenced.pk, "title": "Referenced Document"}]

src/paperless_ai/tests/test_matching.py

@@ -1,5 +1,3 @@
-from unittest.mock import patch
-
 import pytest
 from django.test import TestCase
 
@@ -32,33 +30,25 @@ 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")
 
-    @patch("paperless_ai.matching.get_objects_for_user_owner_aware")
+    def test_match_tags_by_name(self) -> None:
-    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")
 
-    @patch("paperless_ai.matching.get_objects_for_user_owner_aware")
+    def test_match_correspondents_by_name(self) -> None:
-    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")
 
-    @patch("paperless_ai.matching.get_objects_for_user_owner_aware")
+    def test_match_document_types_by_name(self) -> None:
-    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")
 
-    @patch("paperless_ai.matching.get_objects_for_user_owner_aware")
+    def test_match_storage_paths_by_name(self) -> None:
-    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)
@@ -70,16 +60,12 @@ class TestAIMatching(TestCase):
         unmatched_names = extract_unmatched_names(llm_names, matched_objects)
         self.assertEqual(unmatched_names, ["Nonexistent Tag"])
 
-    @patch("paperless_ai.matching.get_objects_for_user_owner_aware")
+    def test_match_tags_by_name_with_empty_names(self) -> None:
-    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, [])
 
-    @patch("paperless_ai.matching.get_objects_for_user_owner_aware")
+    def test_match_tags_with_fuzzy_matching(self) -> None:
-    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)