2d754d52ef
Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
441 lines
21 KiB
Markdown
441 lines
21 KiB
Markdown
# User Guide
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This guide helps you get started with using DocuElevate for document management and processing.
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## Getting Started
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DocuElevate offers an intuitive web interface for uploading, managing, and processing your documents.
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### Accessing the System
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1. Navigate to your DocuElevate instance (typically at `http://your-server-address:8000`)
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2. If authentication is enabled, you'll be prompted to log in using your credentials
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### Authentication
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DocuElevate supports two main authentication methods:
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#### Basic Authentication
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If basic authentication is configured:
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1. You'll see a simple login form
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2. Enter your username and password as configured in the system
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3. Click "Log In" to access DocuElevate
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#### OpenID Connect (OIDC)
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If OpenID Connect authentication is configured:
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1. You'll see a login button
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2. Clicking this will redirect you to your identity provider (e.g., Authentik, Keycloak, Auth0)
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3. Log in with your existing credentials on that platform
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4. You'll be redirected back to DocuElevate after successful authentication
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#### Local User Accounts
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If your administrator has created a local (email/password) account for you:
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1. You'll see a "Sign in with username" form on the login page
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2. Enter your **username or email address** — both are accepted
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3. Enter your password and click **Sign in**
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##### Forgot your password?
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If you can't remember your password:
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1. Click **Forgot password?** below the sign-in form
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2. Enter your email address and click **Send reset link**
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3. Check your inbox for a password reset email (valid for 24 hours)
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4. Click the link in the email and enter your new password
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##### Forgot your username?
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If you can't remember your username:
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1. Click **Forgot username?** below the sign-in form
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2. Enter your email address and click **Send username reminder**
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3. You'll receive an email with your username
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> **Tip:** You can always sign in with your email address directly — you don't need to look up your username.
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- Click the "Logout" button in the top navigation bar to end your session
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- For security, sessions automatically expire after a period of inactivity
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### Main Interface
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DocuElevate features a simple navigation system with the following main sections:
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- **Home**: Dashboard and overview
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- **Upload**: For adding new documents to the system
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- **Files**: For viewing and managing processed documents
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- **Search**: Dedicated full-text search across all document content
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- **About**: Information about DocuElevate
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## Uploading Documents
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DocuElevate provides multiple convenient ways to upload documents to the system.
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### Web Upload (Upload Page)
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1. Navigate to the **Upload** page
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2. **Drag and drop** files onto the upload area, or **click** the upload area to browse your files
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3. Select files to upload (supported formats include PDF, Word documents, Excel spreadsheets, PowerPoint presentations, images, and more)
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4. The system will automatically validate and upload your files
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5. You'll see real-time progress for each file being uploaded
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6. Your documents will be processed automatically according to the system configuration
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#### Supported File Types
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- **Documents**: PDF, Word (.doc, .docx), Excel (.xls, .xlsx), PowerPoint (.ppt, .pptx)
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- **Images**: JPEG, PNG, GIF, BMP, TIFF, WebP, SVG
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- **Text**: Plain text (.txt), CSV, RTF, HTML, XML, Markdown
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- **Maximum file size**: 500MB per file
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### Drag-and-Drop on Files Page
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For even more convenience, you can upload files directly from the **Files** page:
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1. Navigate to the **Files** page where you view your processed documents
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2. **Drag files from your computer** and drop them **anywhere** on the page
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3. A visual overlay will appear to confirm you're in drag mode
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4. Release the files to begin uploading
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5. An upload progress modal will appear in the bottom-right corner
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6. The page will automatically refresh to show your newly uploaded files once complete
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This feature allows you to quickly add new files without navigating away from your document management view.
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### Email Attachments (IMAP Ingestion)
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DocuElevate acts as an email *client* that automatically retrieves document attachments from one or more IMAP mailboxes. You do not need to set up DocuElevate as an email server — it simply polls an existing mailbox that you designate for document delivery.
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**How it works:**
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1. A document is sent as an email attachment to the configured mailbox (e.g. from a scanner, a colleague, or any email client)
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2. DocuElevate polls the mailbox at the configured interval (typically every 1–5 minutes)
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3. Email attachments in supported formats are automatically downloaded and enqueued for processing
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4. Processed emails are marked with a label or star (Gmail) or tracked locally, so they are not re-processed
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> **HP Scanners and MFPs (Scan to Email)**: Configure your scanner's "Scan to Email" feature to send scanned documents to a dedicated email account. Point DocuElevate at that mailbox using the IMAP settings. DocuElevate will retrieve the scanned PDFs automatically — no manual forwarding required.
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### Watch Folders (Automatic Folder Ingestion)
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Watch folders allow DocuElevate to automatically monitor directories for new files and ingest them without any manual action.
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#### Local Watch Folders (including SMB/CIFS and NFS)
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Mount a network share or local directory into the DocuElevate worker container and configure the path in `WATCH_FOLDERS`. DocuElevate scans the folder every minute (configurable via `WATCH_FOLDER_POLL_INTERVAL`) and enqueues any new documents it finds.
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This is the recommended approach for:
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- **HP Scanners / MFPs** using "Scan to Network Folder" — point the scanner at a shared folder that DocuElevate also has access to
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- **SMB/CIFS shares** — mount the Windows/Samba share and add the path to `WATCH_FOLDERS`
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- **NFS mounts** — works identically, just configure the mount path
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- **Any local directory** on the server running DocuElevate
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#### FTP / SFTP Watch Folders
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DocuElevate can poll an FTP or SFTP directory for new files. Enable this with `FTP_INGEST_ENABLED` or `SFTP_INGEST_ENABLED` and set the corresponding ingest folder. DocuElevate downloads new files, enqueues them for processing, and optionally deletes them from the remote server.
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See [Configuration Guide — Watch Folder Ingestion](ConfigurationGuide.md#watch-folder-ingestion) for full setup instructions.
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## Managing Documents
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The **Files** page provides access to all processed documents:
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1. Navigate to the **Files** page
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2. Use the search box to find specific documents by filename, or the full-text search bar to search document content, metadata, and tags
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3. Click on any file to view its details
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4. Sort the list by any column by clicking on the column header
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> **Tip:** When documents are being processed, a blue banner appears at the top of the Files page showing how many items are queued or currently processing. Files will appear in the list once their processing completes. Admins can click "View Queue" in the banner to open the Queue Monitor dashboard.
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## Queue Monitor (Admin)
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The **Queue Monitor** dashboard provides real-time visibility into the document processing pipeline. It is available to admin users under **Admin → Queue Monitor** in the navigation bar.
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The dashboard shows:
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- **Queued Tasks** — number of tasks waiting in Redis-backed Celery queues
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- **Active Tasks** — tasks currently being executed by Celery workers
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- **Files Processing** — files with at least one in-progress processing step
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- **Workers Online** — number of connected Celery worker processes
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- **Redis Queues** — per-queue breakdown of pending task counts
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- **Processing Pipeline** — database-level summary of file states (completed, processing, pending, failed)
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- **Recently Processing Files** — the most recent files being actively processed, with links to their detail pages
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The dashboard auto-refreshes every 10 seconds.
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## Searching Documents
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DocuElevate provides two ways to search your documents:
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### Full-Text Search on the Files Page
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The **Files** page includes a full-text search bar (labelled "Full-Text Search") that searches across OCR-extracted text, AI metadata, tags, sender, recipient, and document type. Type at least 2 characters and results appear automatically below the search bar.
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### Dedicated Search Page
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For a more focused content-finding experience, use the **Search** page accessible from the main navigation:
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1. Navigate to the **Search** page
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2. Type your query into the search box — results appear automatically as you type (or press Enter)
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3. Use the **content-finding filters** to narrow results:
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- **Document Type** — e.g. Invoice, Contract
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- **Tags** — filter by a specific tag
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- **Sender** — filter by sender / absender
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- **Language** — filter by ISO language code (e.g. `de`, `en`)
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- **Text Quality** — filter by OCR text quality (High, Medium, Low, No text)
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- **Date From / Date To** — restrict results to a date range
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4. Results are displayed in a Google-style format showing:
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- **Document title** (linked to the file detail page)
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- **Filename**
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- **Document type**, **sender**, and **tag** badges
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- **Content preview** with highlighted matching terms
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5. Use pagination to browse through large result sets
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### Saved Searches
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Both the **Files** and **Search** pages support **saved searches** — named filter presets you can create and reuse:
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1. Apply your desired filters (and optionally a search query on the Search page)
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2. Click **Save Current** in the saved searches bar
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3. Enter a name for the saved search
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4. Your saved search appears as a clickable tag — click it to instantly re-apply those filters
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5. Click the **×** button next to a saved search to delete it
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On the **Search** page, saved searches store the full-text query (`q`) along with all active content-finding filters. On the **Files** page, saved searches store the file management filters (filename search, MIME type, status, etc.).
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The search page is also accessible via URL with a pre-filled query: `/search?q=invoice`
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### File Detail View
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When you click on a file, you'll see a comprehensive detail view with the following sections:
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#### File Information
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This section displays metadata about the file:
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#### File Information
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This section displays metadata about the file:
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- File ID and original filename
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- File hash (SHA-256)
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- File size and MIME type
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- Creation timestamp
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- Original file path and status (shows if the immutable original is available)
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- Processed file path and status (shows if the final processed file is available)
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#### Extracted Metadata (GPT)
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If metadata has been extracted by GPT, this section displays structured information including:
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- **Document Type**: Classification (Invoice, Receipt, Contract, etc.)
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- **Suggested Filename**: AI-recommended filename based on content
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- **Document Date**: Extracted date from document
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- **Sender (Absender)**: Sender or issuing party information
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- **Recipient (Empfänger)**: Recipient information
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- **Amount (Betrag)**: Financial amounts (for invoices, receipts)
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- **Account Number**: Bank account information
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- **Tags**: Document categories and labels
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**Show JSON**: Click this button to toggle the full metadata in JSON format. This is useful for:
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- Viewing all extracted fields at once
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- Debugging metadata extraction issues
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- Copying metadata for external use
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- Understanding the complete data structure
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#### Document Previews
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View your documents with type-specific viewers:
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- **Original Document**: The immutable original file as first ingested, before any processing
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- **Processed Document**: The final file with embedded metadata
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**PDF Preview (pdf.js)**:
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- In-browser PDF rendering via pdf.js — no native browser PDF plugin required
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- Page navigation controls (previous / next) with page counter
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- High-quality canvas-based rendering that works consistently across browsers
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- Side-by-side comparison of original vs processed versions on the detail page
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**Image Preview (JPEG, PNG, TIFF, WebP)**:
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- In-browser image display with zoom and pan controls
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- Zoom in / out buttons and mouse-wheel zoom
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- Click-and-drag panning for large or zoomed images
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- Reset button to return to the original size
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- Zoom percentage indicator
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**Text File Preview**:
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- Syntax-highlighted display with line numbers
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- Monospace font for readable code and data
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- Copy-to-clipboard button for the full text content
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- Supports plain text, CSV, source code, and other text MIME types
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**View Extracted Text** buttons below each preview to see the full text content
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**Text Extraction Modals**: Click "View Extracted Text" to open a fullscreen modal showing:
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- Complete extracted text from OCR or PDF text layer
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- Dark-themed, scrollable display for easy reading
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- Copy-friendly pre-formatted text
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- Close by clicking the close button or clicking outside the modal
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**Note**: The original file is stored in an immutable archive (`workdir/original/`) and is never modified. The processed file is stored in `workdir/processed/` with the suggested filename and embedded metadata.
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#### Processing History
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View the complete processing history with a timeline showing:
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- Each processing step that was executed
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- Status of each step (success, failure, in progress, pending)
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- Error messages for failed steps
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- Timestamps for each operation
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**Retry Processing**: If a file's processing has failed, you can use the "Retry Processing" button to reprocess the entire file. This is useful when:
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- External API services (like the configured AI provider) had temporary issues
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- Network connectivity was lost during processing
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- Configuration has been updated and you want to reprocess with new settings
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**Force Cloud OCR**: For files with low-quality embedded text, you can use the "Reprocess with Cloud OCR" option to force high-quality Azure Document Intelligence OCR processing, even if the PDF already contains embedded text. This is useful when:
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- The embedded text quality is poor or contains errors
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- OCR accuracy needs to be improved
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- The embedded text is corrupted or garbled
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- You need the highest quality text extraction possible
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#### Process Flow Visualization
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The process flow visualization shows a visual representation of the document processing pipeline:
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- **Green indicators**: Successful stages
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- **Red indicators**: Failed stages with error messages
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- **Gray indicators**: Stages that were not executed (e.g., because a previous stage failed)
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This helps you understand:
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- Which processing path your document took (local text extraction vs. OCR)
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- Where exactly the processing failed
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- Which stages were skipped and why
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#### File Previews
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If your file is still available on disk, you can preview it directly in the browser:
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- **Original File**: The immutable original file as it was first ingested
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- **Processed File**: The file after metadata has been embedded (if processing completed)
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Both previews support:
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- In-browser PDF viewing with pdf.js (canvas-based, no browser plugin needed)
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- Image viewing with zoom/pan for JPEG, PNG, TIFF, and WebP
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- Text file viewing with line numbers for plain text, CSV, and source code
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- Side-by-side comparison of original and processed versions
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- Full text extraction viewing via modal overlays
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**Quick Preview from File List**: On the main Files page, each file row includes an eye icon button that opens a slide-out side panel with a quick preview. This lets you:
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- Preview PDFs, images, and text files without leaving the file list
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- Navigate PDF pages within the panel
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- Zoom and pan images
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- Open the full document view or download the file from the panel footer
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**View Extracted Text**: Each preview includes a button to view the complete extracted text in a fullscreen modal. When you click this button:
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- The system extracts text from the PDF file on-demand using pypdf
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- A loading indicator shows while extraction is in progress
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- The extracted text is displayed in a scrollable, copy-friendly format
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- The text is cached so subsequent views load instantly
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This is useful for:
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- Verifying OCR accuracy
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- Searching within document content
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- Copying text for external use
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- Reading documents without downloading them
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**Note**: The original file is stored in an immutable archive (`workdir/original/`) and is never modified. This ensures you always have access to the file exactly as it was uploaded, which is valuable for:
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- Auditing and compliance
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- Debugging processing issues
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- Reprocessing with improved algorithms
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## Document Processing Features
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Depending on the system configuration, DocuElevate can perform:
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- **OCR** - Extract text from images and scanned PDFs
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- **Metadata Extraction** - Automatically identify document types, dates, and other key information
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- **PDF Conversion** - Convert various file formats to PDF
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- **Document Distribution** - Store documents in Dropbox, Nextcloud, or Paperless NGX
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### Paperless-ngx Integration
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If Paperless-ngx is configured, DocuElevate can automatically upload processed documents and set custom fields with extracted metadata:
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1. **Automatic Upload**: After processing, documents are automatically uploaded to Paperless-ngx
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2. **Custom Fields Support**: DocuElevate can automatically populate custom fields in Paperless with extracted metadata
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3. **Flexible Field Mapping**: Map any extracted metadata field to any custom field in Paperless
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#### Setting Up Custom Fields
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**Basic Setup (Single Field)**:
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```bash
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# In your .env file
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PAPERLESS_CUSTOM_FIELD_ABSENDER=Absender
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```
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**Advanced Setup (Multiple Fields)**:
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```bash
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# Map multiple metadata fields to Paperless custom fields
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PAPERLESS_CUSTOM_FIELDS_MAPPING='{"absender": "Sender", "empfaenger": "Recipient", "language": "Language", "correspondent": "Correspondent"}'
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```
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**Available Metadata Fields**:
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- `absender` - Sender/author
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- `empfaenger` - Recipient
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- `correspondent` - Issuing company (short name)
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- `language` - Document language (e.g., "de", "en")
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- `document_type` - Classification (Invoice, Contract, etc.)
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- `reference_number` - Invoice/order/reference number
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- `kommunikationsart` - Communication type
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- `kommunikationskategorie` - Communication category
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- And more...
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**Requirements**:
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- Create the custom fields in Paperless-ngx first (Settings → Custom Fields)
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- The field names in your configuration must exactly match the names in Paperless
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- Ensure `PAPERLESS_HOST` and `PAPERLESS_NGX_API_TOKEN` are configured
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**How It Works**:
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1. DocuElevate extracts metadata from your documents using AI
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2. The document is uploaded to Paperless-ngx
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3. After successful upload, custom fields are automatically populated
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4. You can view the populated fields in your Paperless-ngx document details
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## Processing Pipelines
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Processing pipelines let you define exactly what happens to your documents when they are uploaded. Each pipeline is an ordered sequence of **steps** — for example: convert to PDF → OCR → extract metadata → send to storage.
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### Key concepts
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| Term | Meaning |
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|------|---------|
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| **Pipeline** | A named, ordered list of processing steps |
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| **Step** | A single processing action (e.g., OCR, metadata extraction) |
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| **System pipeline** | Created by an admin; visible to all users as a shared default |
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| **User pipeline** | Created by a regular user; private to that user |
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| **Default pipeline** | Marked `is_default=true`; used automatically for new uploads |
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### Managing your pipelines
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1. Navigate to **Pipelines** in the top navigation bar.
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2. Click **New Pipeline** to create a pipeline, give it a name and optional description.
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3. Expand the pipeline card and click **Add Step** to build the workflow.
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4. Use the ↑ / ↓ arrows to reorder steps, or click the edit icon to change step settings.
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5. Mark a pipeline as **Default** so new documents are automatically processed by it.
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### Available step types
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| Step Type | Description |
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|-----------|-------------|
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| `convert_to_pdf` | Convert non-PDF files to PDF using Gotenberg |
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| `check_duplicates` | Detect duplicate files by content hash |
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| `ocr` | Extract text with Azure Document Intelligence or local Tesseract |
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| `extract_metadata` | Extract structured metadata (type, sender, tags) with AI |
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| `embed_metadata` | Write extracted metadata into the PDF document properties |
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| `compute_embedding` | Compute semantic embeddings for similarity search |
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| `send_to_destinations` | Upload the processed document to all configured storage destinations |
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| `classify` | Classify the document type with AI |
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### Assigning a pipeline to a file
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You can assign (or change) the pipeline for an individual document via the file detail page or the API:
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```bash
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POST /api/files/{file_id}/assign-pipeline?pipeline_id=3
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```
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Pass no `pipeline_id` to clear the assignment and fall back to the system default.
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### Admin: system-wide pipelines
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Admins can create **system pipelines** that appear in every user's pipeline list. These can be set as the global default so all users benefit from a consistent processing baseline. Navigate to **Pipelines** and check the **System pipeline** box when creating a new one (admin only).
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## API Access
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For programmatic access, DocuElevate provides a comprehensive REST API:
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1. Navigate to `/docs` on your DocuElevate instance
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2. The interactive Swagger documentation allows you to test API endpoints directly
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3. Obtain an API token if authentication is enabled
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## Troubleshooting
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If you encounter issues while using DocuElevate, please refer to the [Troubleshooting Guide](Troubleshooting.md).
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