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29c36542fa |
@@ -1800,23 +1800,3 @@ password. All of these options come from their similarly-named [Django settings]
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#### [`PAPERLESS_EMAIL_USE_SSL=<bool>`](#PAPERLESS_EMAIL_USE_SSL) {#PAPERLESS_EMAIL_USE_SSL}
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: Defaults to false.
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## Remote OCR
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#### [`PAPERLESS_REMOTE_OCR_ENGINE=<str>`](#PAPERLESS_REMOTE_OCR_ENGINE) {#PAPERLESS_REMOTE_OCR_ENGINE}
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: The remote OCR engine to use. Currently only Azure AI is supported as "azureai".
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Defaults to None, which disables remote OCR.
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#### [`PAPERLESS_REMOTE_OCR_API_KEY=<str>`](#PAPERLESS_REMOTE_OCR_API_KEY) {#PAPERLESS_REMOTE_OCR_API_KEY}
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: The API key to use for the remote OCR engine.
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Defaults to None.
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#### [`PAPERLESS_REMOTE_OCR_ENDPOINT=<str>`](#PAPERLESS_REMOTE_OCR_ENDPOINT) {#PAPERLESS_REMOTE_OCR_ENDPOINT}
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: The endpoint to use for the remote OCR engine. This is required for Azure AI.
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Defaults to None.
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@@ -25,10 +25,9 @@ physical documents into a searchable online archive so you can keep, well, _less
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## Features
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- **Organize and index** your scanned documents with tags, correspondents, types, and more.
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- _Your_ data is stored locally on _your_ server and is never transmitted or shared in any way, unless you explicitly choose to do so.
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- _Your_ data is stored locally on _your_ server and is never transmitted or shared in any way.
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- Performs **OCR** on your documents, adding searchable and selectable text, even to documents scanned with only images.
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- Utilizes the open-source Tesseract engine to recognize more than 100 languages.
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- _New!_ Supports remote OCR with Azure AI (opt-in).
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- Utilizes the open-source Tesseract engine to recognize more than 100 languages.
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- Documents are saved as PDF/A format which is designed for long term storage, alongside the unaltered originals.
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- Uses machine-learning to automatically add tags, correspondents and document types to your documents.
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- Supports PDF documents, images, plain text files, Office documents (Word, Excel, PowerPoint, and LibreOffice equivalents)[^1] and more.
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@@ -850,18 +850,6 @@ how regularly you intend to scan documents and use paperless.
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performed the task associated with the document, move it to the
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inbox.
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## Remote OCR
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!!! important
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This feature is disabled by default and will always remain strictly "opt-in".
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Paperless-ngx supports performing OCR on documents using remote services. At the moment, this is limited to
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[Microsoft's Azure "Document Intelligence" service](https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence).
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This is of course a paid service (with a free tier) which requires an Azure account and subscription. Azure AI is not affiliated with
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Paperless-ngx in any way. When enabled, Paperless-ngx will automatically send appropriate documents to Azure for OCR processing, bypassing
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the local OCR engine. See the [configuration](configuration.md#PAPERLESS_REMOTE_OCR_ENGINE) options for more details.
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## Architecture
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Paperless-ngx consists of the following components:
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@@ -15,7 +15,6 @@ classifiers = [
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# This will allow testing to not install a webserver, mysql, etc
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dependencies = [
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"azure-ai-documentintelligence>=1.0.2",
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"babel>=2.17",
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"bleach~=6.2.0",
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"celery[redis]~=5.5.1",
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@@ -115,7 +114,7 @@ testing = [
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]
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lint = [
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"pre-commit~=4.2.0",
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"pre-commit~=4.3.0",
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"pre-commit-uv~=4.1.3",
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"ruff~=0.12.2",
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]
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@@ -240,7 +239,6 @@ testpaths = [
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"src/paperless_tesseract/tests/",
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"src/paperless_tika/tests",
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"src/paperless_text/tests/",
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"src/paperless_remote/tests/",
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]
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addopts = [
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"--pythonwarnings=all",
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<context context-type="sourcefile">src/app/components/manage/saved-views/saved-views.component.html</context>
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</context-group>
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<trans-unit id="472206565520537964" datatype="html">
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<source>Open documents</source>
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<context-group purpose="location">
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<context context-type="sourcefile">src/app/components/app-frame/app-frame.component.html</context>
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<context context-type="linenumber">138</context>
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<context context-type="linenumber">139</context>
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</context-group>
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</trans-unit>
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<trans-unit id="5687256342387781369" datatype="html">
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<source>Close all</source>
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<context-group purpose="location">
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<context context-type="sourcefile">src/app/components/app-frame/app-frame.component.html</context>
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</context-group>
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</trans-unit>
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<trans-unit id="3897348120591552265" datatype="html">
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<source>Manage</source>
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<context-group purpose="location">
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||||
<context context-type="sourcefile">src/app/components/app-frame/app-frame.component.html</context>
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</context-group>
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</trans-unit>
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<trans-unit id="7437910965833684826" datatype="html">
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<source>Correspondents</source>
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<context-group purpose="location">
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<context context-type="sourcefile">src/app/components/app-frame/app-frame.component.html</context>
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<context context-type="linenumber">178</context>
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<context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context>
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<source>Tags</source>
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<context-group purpose="location">
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<context context-type="sourcefile">src/app/components/common/input/tags/tags.component.ts</context>
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<source>Document Types</source>
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<context-group purpose="location">
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<context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context>
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||||
<source>Storage Paths</source>
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<context-group purpose="location">
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<context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context>
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<source>Custom Fields</source>
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||||
<context-group purpose="location">
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</context-group>
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<context context-type="sourcefile">src/app/components/common/custom-fields-dropdown/custom-fields-dropdown.component.html</context>
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||||
<source>Workflows</source>
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||||
<context-group purpose="location">
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<context context-type="sourcefile">src/app/components/manage/workflows/workflows.component.html</context>
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||||
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||||
<source>Mail</source>
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||||
<context-group purpose="location">
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</context-group>
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||||
<trans-unit id="7844706011418789951" datatype="html">
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||||
<source>Administration</source>
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||||
<context-group purpose="location">
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||||
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</context-group>
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||||
</trans-unit>
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||||
<trans-unit id="3008420115644088420" datatype="html">
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||||
<source>Configuration</source>
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||||
<context-group purpose="location">
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<context context-type="sourcefile">src/app/components/app-frame/app-frame.component.html</context>
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||||
<context context-type="linenumber">262</context>
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</context-group>
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||||
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||||
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||||
<source>GitHub</source>
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||||
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||||
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||||
<context context-type="linenumber">307</context>
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||||
</context-group>
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||||
</trans-unit>
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||||
<trans-unit id="4112664765954374539" datatype="html">
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||||
<source>is available.</source>
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||||
<context-group purpose="location">
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||||
<context context-type="sourcefile">src/app/components/app-frame/app-frame.component.html</context>
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||||
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||||
<context context-type="linenumber">316,317</context>
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||||
</context-group>
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||||
</trans-unit>
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||||
<trans-unit id="1175891574282637937" datatype="html">
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||||
<source>Click to view.</source>
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||||
<context-group purpose="location">
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||||
<context context-type="sourcefile">src/app/components/app-frame/app-frame.component.html</context>
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||||
<context context-type="linenumber">316</context>
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||||
<context context-type="linenumber">317</context>
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||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="9811291095862612" datatype="html">
|
||||
<source>Paperless-ngx can automatically check for updates</source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/app-frame/app-frame.component.html</context>
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||||
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||||
<context context-type="linenumber">321</context>
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||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="894819944961861800" datatype="html">
|
||||
<source> How does this work? </source>
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||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/app-frame/app-frame.component.html</context>
|
||||
<context context-type="linenumber">327,329</context>
|
||||
<context context-type="linenumber">328,330</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="509090351011426949" datatype="html">
|
||||
<source>Update available</source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/app-frame/app-frame.component.html</context>
|
||||
<context context-type="linenumber">340</context>
|
||||
<context context-type="linenumber">341</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="1542489069631984294" datatype="html">
|
||||
|
||||
@@ -108,15 +108,16 @@
|
||||
<li class="nav-item w-100 app-link" cdkDrag [cdkDragDisabled]="!settingsService.organizingSidebarSavedViews"
|
||||
cdkDragPreviewContainer="parent" cdkDragPreviewClass="navItemDrag" (cdkDragStarted)="onDragStart($event)"
|
||||
(cdkDragEnded)="onDragEnd($event)">
|
||||
<a class="nav-link" [class.text-truncate]="!slimSidebarEnabled" routerLink="view/{{view.id}}"
|
||||
<a class="nav-link" routerLink="view/{{view.id}}"
|
||||
routerLinkActive="active" (click)="closeMenu()" [ngbPopover]="view.name"
|
||||
[disablePopover]="!slimSidebarEnabled" placement="end" container="body" triggers="mouseenter:mouseleave"
|
||||
popoverClass="popover-slim">
|
||||
<i-bs class="me-1" name="funnel"></i-bs><span> {{view.name}}
|
||||
@if (showSidebarCounts && !slimSidebarEnabled) {
|
||||
<span><span class="badge bg-info text-dark ms-2 d-inline">{{ savedViewService.getDocumentCount(view) }}</span></span>
|
||||
}
|
||||
</span>
|
||||
<i-bs class="me-1" name="funnel"></i-bs>
|
||||
<span> <div class="d-inline-flex view-name"><span [class.text-truncate]="!slimSidebarEnabled">{{view.name}}</span></div>
|
||||
@if (showSidebarCounts && !slimSidebarEnabled) {
|
||||
<span class="badge bg-info text-dark ms-2 d-inline">{{ savedViewService.getDocumentCount(view) }}</span>
|
||||
}
|
||||
</span>
|
||||
@if (showSidebarCounts && slimSidebarEnabled) {
|
||||
<span class="badge bg-info text-dark position-absolute top-0 end-0 d-none d-md-block">{{ savedViewService.getDocumentCount(view) }}</span>
|
||||
}
|
||||
|
||||
@@ -19,6 +19,10 @@
|
||||
height: 0.8em;
|
||||
}
|
||||
|
||||
.view-name {
|
||||
max-width: calc(100% - 50px)
|
||||
}
|
||||
|
||||
.nav-group:not(:has(.app-link)) .sidebar-heading {
|
||||
display: none !important;
|
||||
}
|
||||
|
||||
@@ -444,6 +444,12 @@ export class SettingsService {
|
||||
)
|
||||
}
|
||||
|
||||
this._renderer.setAttribute(
|
||||
this.document.documentElement,
|
||||
'data-bs-theme',
|
||||
'dark-flat'
|
||||
)
|
||||
|
||||
if (themeColor?.length) {
|
||||
const hsl = hexToHsl(themeColor)
|
||||
const bgBrightnessEstimate = estimateBrightnessForColor(themeColor)
|
||||
|
||||
@@ -349,3 +349,52 @@ $form-check-radio-checked-bg-image-dark: url("data:image/svg+xml,<svg xmlns='htt
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
[data-bs-theme="dark-flat"] {
|
||||
body:not(.primary-light):not(.primary-dark) {
|
||||
@include paperless-green-dark-mode;
|
||||
|
||||
.navbar.bg-primary {
|
||||
// navbar is og green in dark mode
|
||||
@include paperless-green;
|
||||
}
|
||||
}
|
||||
|
||||
@include dark-mode;
|
||||
|
||||
.btn-outline-primary, .btn-outline-secondary {
|
||||
border-color: var(--pngx-bg-alt) !important;
|
||||
background-color: var(--pngx-bg-alt) !important;
|
||||
color: var(--bs-body-color) !important;
|
||||
}
|
||||
|
||||
.btn-outline-secondary:hover, .btn-outline-secondary:focus, .btn-outline-secondary:active, .btn-outline-secondary.active {
|
||||
background-color: var(--pngx-bg-darker) !important;
|
||||
color: var(--pngx-body-color-accent) !important;
|
||||
}
|
||||
|
||||
.btn-outline-danger {
|
||||
border-color: var(--pngx-bg-alt) !important;
|
||||
background-color: var(--pngx-bg-alt) !important;
|
||||
color: var(--bs-danger) !important;
|
||||
|
||||
&:hover, &:focus, &.active, &:active {
|
||||
background-color: var(--pngx-bg-darker) !important;
|
||||
color: var(--bs-danger) !important;
|
||||
}
|
||||
}
|
||||
|
||||
.form-control:not(.btn), input, select, textarea,
|
||||
.form-select:not(.is-invalid):not(:disabled), .form-check-input,
|
||||
.ng-select .ng-select-container {
|
||||
background-color: var(--pngx-bg-darker) !important;
|
||||
color: var(--bs-body-color) !important;
|
||||
border-color: var(--pngx-bg-alt) !important;
|
||||
}
|
||||
|
||||
.input-group .input-group-text {
|
||||
background-color: var(--pngx-bg-alt);
|
||||
color: var(--bs-body-color);
|
||||
border-color: var(--pngx-bg-alt);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -324,7 +324,6 @@ INSTALLED_APPS = [
|
||||
"paperless_tesseract.apps.PaperlessTesseractConfig",
|
||||
"paperless_text.apps.PaperlessTextConfig",
|
||||
"paperless_mail.apps.PaperlessMailConfig",
|
||||
"paperless_remote.apps.PaperlessRemoteParserConfig",
|
||||
"django.contrib.admin",
|
||||
"rest_framework",
|
||||
"rest_framework.authtoken",
|
||||
@@ -1444,10 +1443,3 @@ WEBHOOKS_ALLOW_INTERNAL_REQUESTS = __get_boolean(
|
||||
"PAPERLESS_WEBHOOKS_ALLOW_INTERNAL_REQUESTS",
|
||||
"true",
|
||||
)
|
||||
|
||||
###############################################################################
|
||||
# Remote Parser #
|
||||
###############################################################################
|
||||
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")
|
||||
|
||||
@@ -1,4 +0,0 @@
|
||||
# this is here so that django finds the checks.
|
||||
from paperless_remote.checks import check_remote_parser_configured
|
||||
|
||||
__all__ = ["check_remote_parser_configured"]
|
||||
@@ -1,14 +0,0 @@
|
||||
from django.apps import AppConfig
|
||||
|
||||
from paperless_remote.signals import remote_consumer_declaration
|
||||
|
||||
|
||||
class PaperlessRemoteParserConfig(AppConfig):
|
||||
name = "paperless_remote"
|
||||
|
||||
def ready(self):
|
||||
from documents.signals import document_consumer_declaration
|
||||
|
||||
document_consumer_declaration.connect(remote_consumer_declaration)
|
||||
|
||||
AppConfig.ready(self)
|
||||
@@ -1,15 +0,0 @@
|
||||
from django.conf import settings
|
||||
from django.core.checks import Error
|
||||
from django.core.checks import register
|
||||
|
||||
|
||||
@register()
|
||||
def check_remote_parser_configured(app_configs, **kwargs):
|
||||
if settings.REMOTE_OCR_ENGINE == "azureai" and not settings.REMOTE_OCR_ENDPOINT:
|
||||
return [
|
||||
Error(
|
||||
"Azure AI remote parser requires endpoint to be configured.",
|
||||
),
|
||||
]
|
||||
|
||||
return []
|
||||
@@ -1,113 +0,0 @@
|
||||
from pathlib import Path
|
||||
|
||||
from django.conf import settings
|
||||
|
||||
from paperless_tesseract.parsers import RasterisedDocumentParser
|
||||
|
||||
|
||||
class RemoteEngineConfig:
|
||||
def __init__(
|
||||
self,
|
||||
engine: str,
|
||||
api_key: str | None = None,
|
||||
endpoint: str | None = None,
|
||||
):
|
||||
self.engine = engine
|
||||
self.api_key = api_key
|
||||
self.endpoint = endpoint
|
||||
|
||||
def engine_is_valid(self):
|
||||
valid = self.engine in ["azureai"] and self.api_key is not None
|
||||
if self.engine == "azureai":
|
||||
valid = valid and self.endpoint is not None
|
||||
return valid
|
||||
|
||||
|
||||
class RemoteDocumentParser(RasterisedDocumentParser):
|
||||
"""
|
||||
This parser uses a remote OCR engine to parse documents. Currently, it supports Azure AI Vision
|
||||
as this is the only service that provides a remote OCR API with text-embedded PDF output.
|
||||
"""
|
||||
|
||||
logging_name = "paperless.parsing.remote"
|
||||
|
||||
def get_settings(self) -> RemoteEngineConfig:
|
||||
"""
|
||||
Returns the configuration for the remote OCR engine, loaded from Django settings.
|
||||
"""
|
||||
return RemoteEngineConfig(
|
||||
engine=settings.REMOTE_OCR_ENGINE,
|
||||
api_key=settings.REMOTE_OCR_API_KEY,
|
||||
endpoint=settings.REMOTE_OCR_ENDPOINT,
|
||||
)
|
||||
|
||||
def supported_mime_types(self):
|
||||
if self.settings.engine_is_valid():
|
||||
return {
|
||||
"application/pdf": ".pdf",
|
||||
"image/png": ".png",
|
||||
"image/jpeg": ".jpg",
|
||||
"image/tiff": ".tiff",
|
||||
"image/bmp": ".bmp",
|
||||
"image/gif": ".gif",
|
||||
"image/webp": ".webp",
|
||||
}
|
||||
else:
|
||||
return {}
|
||||
|
||||
def azure_ai_vision_parse(
|
||||
self,
|
||||
file: Path,
|
||||
) -> str | None:
|
||||
"""
|
||||
Uses Azure AI Vision to parse the document and return the text content.
|
||||
It requests a searchable PDF output with embedded text.
|
||||
The PDF is saved to the archive_path attribute.
|
||||
Returns the text content extracted from the document.
|
||||
If the parsing fails, it returns None.
|
||||
"""
|
||||
from azure.ai.documentintelligence import DocumentIntelligenceClient
|
||||
from azure.ai.documentintelligence.models import AnalyzeDocumentRequest
|
||||
from azure.ai.documentintelligence.models import AnalyzeOutputOption
|
||||
from azure.ai.documentintelligence.models import DocumentContentFormat
|
||||
from azure.core.credentials import AzureKeyCredential
|
||||
|
||||
client = DocumentIntelligenceClient(
|
||||
endpoint=self.settings.endpoint,
|
||||
credential=AzureKeyCredential(self.settings.api_key),
|
||||
)
|
||||
|
||||
with file.open("rb") as f:
|
||||
analyze_request = AnalyzeDocumentRequest(bytes_source=f.read())
|
||||
poller = client.begin_analyze_document(
|
||||
model_id="prebuilt-read",
|
||||
body=analyze_request,
|
||||
output_content_format=DocumentContentFormat.TEXT,
|
||||
output=[AnalyzeOutputOption.PDF], # request searchable PDF output
|
||||
content_type="application/json",
|
||||
)
|
||||
|
||||
poller.wait()
|
||||
result_id = poller.details["operation_id"]
|
||||
result = poller.result()
|
||||
|
||||
# Download the PDF with embedded text
|
||||
self.archive_path = Path(self.tempdir) / "archive.pdf"
|
||||
with self.archive_path.open("wb") as f:
|
||||
for chunk in client.get_analyze_result_pdf(
|
||||
model_id="prebuilt-read",
|
||||
result_id=result_id,
|
||||
):
|
||||
f.write(chunk)
|
||||
|
||||
return result.content
|
||||
|
||||
def parse(self, document_path: Path, mime_type, file_name=None):
|
||||
if not self.settings.engine_is_valid():
|
||||
self.log.warning(
|
||||
"No valid remote parser engine is configured, content will be empty.",
|
||||
)
|
||||
self.text = ""
|
||||
return
|
||||
elif self.settings.engine == "azureai":
|
||||
self.text = self.azure_ai_vision_parse(document_path)
|
||||
@@ -1,18 +0,0 @@
|
||||
def get_parser(*args, **kwargs):
|
||||
from paperless_remote.parsers import RemoteDocumentParser
|
||||
|
||||
return RemoteDocumentParser(*args, **kwargs)
|
||||
|
||||
|
||||
def get_supported_mime_types():
|
||||
from paperless_remote.parsers import RemoteDocumentParser
|
||||
|
||||
return RemoteDocumentParser(None).supported_mime_types()
|
||||
|
||||
|
||||
def remote_consumer_declaration(sender, **kwargs):
|
||||
return {
|
||||
"parser": get_parser,
|
||||
"weight": 5,
|
||||
"mime_types": get_supported_mime_types(),
|
||||
}
|
||||
Binary file not shown.
@@ -1,29 +0,0 @@
|
||||
from django.test import TestCase
|
||||
from django.test import override_settings
|
||||
|
||||
from paperless_remote import check_remote_parser_configured
|
||||
|
||||
|
||||
class TestChecks(TestCase):
|
||||
@override_settings(REMOTE_OCR_ENGINE=None)
|
||||
def test_no_engine(self):
|
||||
msgs = check_remote_parser_configured(None)
|
||||
self.assertEqual(len(msgs), 0)
|
||||
|
||||
@override_settings(REMOTE_OCR_ENGINE="azureai")
|
||||
@override_settings(REMOTE_OCR_API_KEY="somekey")
|
||||
@override_settings(REMOTE_OCR_ENDPOINT=None)
|
||||
def test_azure_no_endpoint(self):
|
||||
msgs = check_remote_parser_configured(None)
|
||||
self.assertEqual(len(msgs), 1)
|
||||
self.assertTrue(
|
||||
msgs[0].msg.startswith(
|
||||
"Azure AI remote parser requires endpoint to be configured.",
|
||||
),
|
||||
)
|
||||
|
||||
@override_settings(REMOTE_OCR_ENGINE="something")
|
||||
@override_settings(REMOTE_OCR_API_KEY="somekey")
|
||||
def test_valid_configuration(self):
|
||||
msgs = check_remote_parser_configured(None)
|
||||
self.assertEqual(len(msgs), 0)
|
||||
@@ -1,101 +0,0 @@
|
||||
import uuid
|
||||
from pathlib import Path
|
||||
from unittest import mock
|
||||
|
||||
from django.test import TestCase
|
||||
from django.test import override_settings
|
||||
|
||||
from documents.tests.utils import DirectoriesMixin
|
||||
from documents.tests.utils import FileSystemAssertsMixin
|
||||
from paperless_remote.parsers import RemoteDocumentParser
|
||||
from paperless_remote.signals import get_parser
|
||||
|
||||
|
||||
class TestParser(DirectoriesMixin, FileSystemAssertsMixin, TestCase):
|
||||
SAMPLE_FILES = Path(__file__).resolve().parent / "samples"
|
||||
|
||||
def assertContainsStrings(self, content, strings):
|
||||
# Asserts that all strings appear in content, in the given order.
|
||||
indices = []
|
||||
for s in strings:
|
||||
if s in content:
|
||||
indices.append(content.index(s))
|
||||
else:
|
||||
self.fail(f"'{s}' is not in '{content}'")
|
||||
self.assertListEqual(indices, sorted(indices))
|
||||
|
||||
@mock.patch("paperless_tesseract.parsers.run_subprocess")
|
||||
@mock.patch("azure.ai.documentintelligence.DocumentIntelligenceClient")
|
||||
def test_get_text_with_azure(self, mock_client_cls, mock_subprocess):
|
||||
# Arrange mock Azure client
|
||||
mock_client = mock.Mock()
|
||||
mock_client_cls.return_value = mock_client
|
||||
|
||||
# Simulate poller result and its `.details`
|
||||
mock_poller = mock.Mock()
|
||||
mock_poller.wait.return_value = None
|
||||
mock_poller.details = {"operation_id": "fake-op-id"}
|
||||
mock_client.begin_analyze_document.return_value = mock_poller
|
||||
mock_poller.result.return_value.content = "This is a test document."
|
||||
|
||||
# Return dummy PDF bytes
|
||||
mock_client.get_analyze_result_pdf.return_value = [
|
||||
b"%PDF-",
|
||||
b"1.7 ",
|
||||
b"FAKEPDF",
|
||||
]
|
||||
|
||||
# Simulate pdftotext by writing dummy text to sidecar file
|
||||
def fake_run(cmd, *args, **kwargs):
|
||||
with Path(cmd[-1]).open("w", encoding="utf-8") as f:
|
||||
f.write("This is a test document.")
|
||||
|
||||
mock_subprocess.side_effect = fake_run
|
||||
|
||||
with override_settings(
|
||||
REMOTE_OCR_ENGINE="azureai",
|
||||
REMOTE_OCR_API_KEY="somekey",
|
||||
REMOTE_OCR_ENDPOINT="https://endpoint.cognitiveservices.azure.com",
|
||||
):
|
||||
parser = get_parser(uuid.uuid4())
|
||||
parser.parse(
|
||||
self.SAMPLE_FILES / "simple-digital.pdf",
|
||||
"application/pdf",
|
||||
)
|
||||
|
||||
self.assertContainsStrings(
|
||||
parser.text.strip(),
|
||||
["This is a test document."],
|
||||
)
|
||||
|
||||
@override_settings(
|
||||
REMOTE_OCR_ENGINE="azureai",
|
||||
REMOTE_OCR_API_KEY="key",
|
||||
REMOTE_OCR_ENDPOINT="https://endpoint.cognitiveservices.azure.com",
|
||||
)
|
||||
def test_supported_mime_types_valid_config(self):
|
||||
parser = RemoteDocumentParser(uuid.uuid4())
|
||||
expected_types = {
|
||||
"application/pdf": ".pdf",
|
||||
"image/png": ".png",
|
||||
"image/jpeg": ".jpg",
|
||||
"image/tiff": ".tiff",
|
||||
"image/bmp": ".bmp",
|
||||
"image/gif": ".gif",
|
||||
"image/webp": ".webp",
|
||||
}
|
||||
self.assertEqual(parser.supported_mime_types(), expected_types)
|
||||
|
||||
def test_supported_mime_types_invalid_config(self):
|
||||
parser = get_parser(uuid.uuid4())
|
||||
self.assertEqual(parser.supported_mime_types(), {})
|
||||
|
||||
@override_settings(
|
||||
REMOTE_OCR_ENGINE=None,
|
||||
REMOTE_OCR_API_KEY=None,
|
||||
REMOTE_OCR_ENDPOINT=None,
|
||||
)
|
||||
def test_parse_with_invalid_config(self):
|
||||
parser = get_parser(uuid.uuid4())
|
||||
parser.parse(self.SAMPLE_FILES / "simple-digital.pdf", "application/pdf")
|
||||
self.assertEqual(parser.text, "")
|
||||
96
uv.lock
generated
96
uv.lock
generated
@@ -1,5 +1,5 @@
|
||||
version = 1
|
||||
revision = 2
|
||||
revision = 3
|
||||
requires-python = ">=3.10"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.11' and sys_platform == 'darwin'",
|
||||
@@ -95,34 +95,6 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/af/cc/55a32a2c98022d88812b5986d2a92c4ff3ee087e83b712ebc703bba452bf/Automat-24.8.1-py3-none-any.whl", hash = "sha256:bf029a7bc3da1e2c24da2343e7598affaa9f10bf0ab63ff808566ce90551e02a", size = 42585, upload-time = "2024-08-19T17:31:56.729Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "azure-ai-documentintelligence"
|
||||
version = "1.0.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
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[[package]]
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Reference in New Issue
Block a user