DocuElevate
Overview
DocuElevate is an intelligent document processing system that automates the ingestion, OCR, AI-powered metadata extraction, and distribution of documents. It supports a wide range of AI providers, OCR engines, and cloud storage destinations out of the box.
Key capabilities:
- AI-Powered Metadata Extraction — pluggable AI providers including OpenAI, Anthropic Claude, Google Gemini, Ollama (local), OpenRouter, Portkey, and Azure OpenAI via LiteLLM
- Multi-Engine OCR — Azure Document Intelligence, Tesseract, EasyOCR, Mistral OCR, Google Cloud Document AI, and AWS Textract with configurable merge strategies
- 13 Storage Destinations — Dropbox, Google Drive, OneDrive, Amazon S3, Nextcloud, WebDAV, FTP, SFTP, iCloud Drive, Email (SMTP), Paperless-ngx, Evernote, and Rclone
- Multi-Channel Ingestion — web upload, browser extension, mobile app, CLI, REST API, IMAP email, and watched folders (local, cloud, FTP/SFTP)
- Processing Profiles — per-profile OCR behavior, default selection, and conditional routing rules
- Full-Text Search — powered by Meilisearch for instant document discovery
- Multi-User with SSO — local accounts, OAuth2/OIDC (Authentik), and social login (Google, Microsoft, Apple, Dropbox)
The project ships with a web UI, a REST + GraphQL API, a CLI tool, a native mobile app (iOS & Android), a browser extension, and Helm charts for Kubernetes deployment.
Screenshots
Note: Screenshots may not reflect the very latest UI. For the most current look, visit docuelevate.org.
Workflow
Ingestion
Documents enter DocuElevate through multiple channels:
| Channel | Description |
|---|
| Web Upload | Drag-and-drop interface with real-time progress (up to 1 GB per file) |
| Browser Extension | Clip web pages or send files from Chrome, Firefox, or Edge |
| Mobile App | Capture documents with the device camera or upload from the photo library |
| CLI | Batch uploads and scripted workflows via the docuelevate command-line tool |
| REST API | Programmatic uploads with full API-token authentication |
| Email (IMAP) | Automatic polling of multiple mailboxes with attachment filtering |
| Watched Folders | Monitor local paths, FTP, SFTP, S3, Dropbox, Google Drive, OneDrive, Nextcloud, or WebDAV for new files |
Processing Pipeline
Each document passes through a configurable set of steps:
- PDF Conversion — Non-PDF files are converted using Gotenberg, with optional PDF/A archival conversion
- OCR — Text extraction via one or more OCR engines (Azure, Tesseract, EasyOCR, Mistral, Google Document AI, AWS Textract) with configurable merge strategies
- AI Metadata Extraction — The configured AI provider classifies the document and extracts structured metadata (type, dates, amounts, entities)
- Enrichment — Metadata is embedded into the PDF and stored alongside the document
- Embedding Generation — Vector embeddings for similarity search and duplicate detection
Steps can be customized using Pipelines and Routing Rules for conditional processing.
Distribution
Processed documents are distributed to any combination of configured destinations:
| Destination | Type |
|---|
| Dropbox | Cloud storage |
| Google Drive | Cloud storage |
| OneDrive | Cloud storage |
| Amazon S3 | Object storage |
| Nextcloud | Self-hosted cloud |
| WebDAV | Protocol-based |
| FTP / SFTP | File transfer |
| iCloud Drive | Apple cloud |
| Email (SMTP) | Send as attachment |
| Paperless-ngx | Document management system |
| Evernote | Notes with PDF attachments |
| Rclone | 70+ cloud providers via Rclone |
Features
Document Processing
- Multi-engine OCR with quality checks and configurable merge strategies (AI merge, longest, primary)
- AI metadata extraction using any supported provider (OpenAI, Anthropic, Gemini, Ollama, OpenRouter, Portkey, Azure OpenAI)
- PDF conversion via Gotenberg with optional PDF/A archival format
- Duplicate detection — exact (SHA-256) and near-duplicate (content similarity with vector embeddings)
- Customizable processing profiles — select OCR behavior and route documents to profile defaults
Document Management
- Full-text search powered by Meilisearch with saved searches
- File detail view with metadata, text preview, processing history, and similarity analysis
- Shared links for public document access with expiration controls
- Bulk operations — reprocess, delete, or reassign documents in batch
Multi-Channel Ingestion
- Web UI — drag-and-drop upload with real-time progress
- Browser extension — clip web pages or send files from Chrome, Firefox, Edge (guide)
- Mobile app — iOS and Android with camera capture, push notifications, and SSO (guide)
- CLI tool — batch uploads, downloads, search, and API-token management (guide)
- REST API & GraphQL — REST write operations plus query-only GraphQL access, with Swagger documentation at
/docs
- IMAP email — poll multiple mailboxes with attachment filtering and auto-processing
- Watched folders — local filesystem, FTP, SFTP, and cloud storage providers
Administration
- Multi-user mode with per-user document isolation and ownership
- Subscription & billing — Stripe integration with configurable plans and quotas
- Scheduled jobs — IMAP polling, watched folder scans, automated backups, uptime monitoring
- Audit logging with SIEM integration support
- Compliance templates — GDPR, HIPAA, SOC 2
- Admin dashboard — user management, queue monitoring, credential management, backup/restore
Authentication & Security
- Local accounts with self-service registration and password reset
- OAuth2/OIDC via Authentik or any OIDC provider
- Social login — Google, Microsoft, Apple, Dropbox
- API tokens for CLI, mobile, and automation access
- Security headers — HSTS, CSP, X-Frame-Options, X-Content-Type-Options
- Rate limiting with configurable per-endpoint controls
Notifications
- 100+ notification backends via Apprise — Discord, Telegram, Slack, Microsoft Teams, Email, webhooks, and more
- Configurable events — task failures, credential issues, file processed, user signup, payment issues
- In-app notification inbox with per-user preferences
- Webhooks — push events to external systems with HMAC signature verification and retry
Tech Stack
| Component | Technology |
|---|
| Backend | FastAPI, Celery, Redis, SQLAlchemy, Alembic |
| Frontend | Jinja2, Tailwind CSS |
| Search | Meilisearch |
| Mobile | React Native (Expo) — iOS & Android |
| AI | LiteLLM (OpenAI, Anthropic, Gemini, Ollama, OpenRouter, Portkey) |
| OCR | Azure Document Intelligence, Tesseract, EasyOCR, Mistral, Google Doc AI, AWS Textract |
| PDF | Gotenberg, pypdf |
| Auth | Authlib (OAuth2/OIDC), MSAL, social providers |
| Infrastructure | Docker, Docker Compose, Helm/Kubernetes |
| Docs | MkDocs Material |
Quick Start
For detailed installation and deployment instructions, see the Deployment Guide.
# Clone the repository
git clone https://github.com/christianlouis/DocuElevate.git
cd DocuElevate
# Configure environment variables
cp .env.demo .env
# Edit .env with your settings (see Configuration Guide for all options)
# Run with Docker Compose
docker compose up -d
The web UI is available at http://localhost:8000 and the interactive API documentation at http://localhost:8000/docs.
Kubernetes / Helm
helm repo add docuelevate https://christianlouis.github.io/DocuElevate
helm install docuelevate docuelevate/docuelevate -f values.yaml
See the Kubernetes Deployment Guide for full details.
Documentation
Getting Started
How-To Guides
Reference
Deployment & Operations
Storage Integration Setup
Security & Compliance
Development
Development & Testing
Running Tests
# Install development dependencies
pip install -r requirements-dev.txt
# Run all tests
pytest
# Run with coverage report
pytest --cov=app --cov-report=term-missing
# Run only fast unit tests
pytest -m unit
Tests are automatically configured with the necessary environment variables — no manual setup required!
For detailed testing information, see the Contributing Guide.
Contributing
We welcome contributions! Please see CONTRIBUTING.md for:
- Code style guidelines (Ruff for formatting and linting)
- Commit message format (Conventional Commits)
- Testing requirements
- Pull request process
License
This project is licensed under the Apache License 2.0 — see the LICENSE file for details.
Third-Party Software
This project uses various third-party libraries and components. See NOTICE for attributions and the attribution page in the application for more details.
LGPL Compliance
This project uses Paramiko which is licensed under LGPL-2.1. In accordance with the LGPL license:
- The source code for Paramiko can be obtained from https://github.com/paramiko/paramiko
- A copy of the LGPL license is available in the application at
/licenses/lgpl.txt
- Users have the right to modify and redistribute Paramiko under the terms of the LGPL
Dependency Licenses
The following is a summary of the licenses used by our direct dependencies:
| Dependency | License |
|---|
| FastAPI | MIT |
| Celery | BSD |
| Uvicorn | BSD |
| SQLAlchemy | MIT |
| Pydantic | MIT |
| litellm | MIT |
| pypdf | BSD |
| Requests | Apache 2.0 |
| Dropbox SDK | MIT |
| Evernote SDK | BSD |
| Azure AI Document Intelligence | MIT |
| Authlib | BSD |
| Starlette | BSD |
| Alembic | MIT |
| Google API Client | Apache 2.0 |
| Microsoft Graph Core | MIT |
| MSAL | MIT |
| Boto3 | Apache 2.0 |
| Paramiko | LGPL-2.1 |
| Apprise | MIT |
| Redis (py) | BSD |
| Gotenberg Client | MIT |
| Meilisearch | MIT |
For a comprehensive list of all dependencies and their licenses, run:
pip install pip-licenses
pip-licenses
