Paperless-AI

An automated document analyzer for Paperless-ngx using OpenAI API, Ollama and all OpenAI API compatible Services to automatically analyze and tag your documents.
It features: Automode, Manual Mode, Ollama and OpenAI, a Chat function to query your documents with AI, a modern and intuitive Webinterface.

Following Services and OpenAI API compatible services have been successfully tested:

• Ollama
• OpenAI
• DeepSeek.ai
• OpenRouter.ai
• Perplexity.ai
• Together.ai
• VLLM
• LiteLLM
• Fastchat
• Gemini (Google)
• ... and there are possibly many more

Features

Automated Document Management

• Automatic Scanning: Identifies and processes new documents within Paperless-ngx.
• AI-Powered Analysis: Leverages OpenAI API and Ollama (Mistral, Llama, Phi 3, Gemma 2) for precise document analysis.
• Metadata Assignment: Automatically assigns titles, tags, document_type and correspondent details.

Advanced Customization Options

• Predefined Processing Rules: Specify which documents to process based on existing tags. (Optional) 🆕
• Selective Tag Assignment: Use only selected tags for processing. (Disables the prompt dialog) 🆕
• Custom Tagging: Assign a specific tag (of your choice) to AI-processed documents for easy identification. 🆕

Manual Mode

• AI-Assisted Analysis: Manually analyze documents with AI support in a modern web interface. (Accessible via the /manual endpoint) 🆕

Interactive Chat Functionality

• Document Querying: Ask questions about your documents and receive accurate, AI-generated answers. 🆕

Installation

Visit the Wiki for installation:
Click here for Installation

Docker Support

The application comes with full Docker support:

• Automatic container restart on failure
• Health monitoring
• Volume persistence for database
• Resource management
• Graceful shutdown handling

Development

To run the application locally without Docker:

1. Install dependencies:

npm install

2. Start the development server:

npm run test

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Paperless-ngx for the amazing document management system
• OpenAI API
• The Express.js and Node.js communities for their excellent tools

Support

If you encounter any issues or have questions:

1. Check the Issues section
2. Create a new issue if yours isn't already listed
3. Provide detailed information about your setup and the problem

Roadmap (DONE)

• Support for custom AI models
• Support for multiple language analysis
• Advanced tag matching algorithms
• Custom rules for document processing
• Enhanced web interface with statistics