Project Description: Paperless-AI
What is the project about?
Paperless-AI is a tool that automates document analysis and tagging for Paperless-ngx. It uses AI models from services like OpenAI and Ollama to understand and categorize documents.
What problem does it solve?
It automates the tedious process of manually analyzing and tagging documents in a document management system (Paperless-ngx), saving time and improving organization.
What are the features of the project?
- Automated Document Management:
- Automatic scanning of new documents in Paperless-ngx.
- AI-powered analysis using OpenAI API, Ollama, and compatible services.
- Automatic assignment of titles, tags, document types, and correspondents.
- Advanced Customization Options:
- Define rules to process documents based on existing tags.
- Select specific tags for processing.
- Assign a custom tag to AI-processed documents.
- Manual Mode:
- Manually analyze documents with AI assistance via a web interface.
- Interactive Chat Functionality:
- Query documents using AI to get answers.
- Docker Support:
- Full Docker support with features like auto-restart, health monitoring, and volume persistence.
What are the technologies used in the project?
- AI Models: OpenAI API, Ollama (Mistral, Llama, Phi 3, Gemma 2), and other compatible services (DeepSeek.ai, OpenRouter.ai, Perplexity.ai, Together.ai, VLLM, LiteLLM, Fastchat, Gemini (Google)).
- Possibly Node.js and Express.js (based on development instructions).
- Docker
What are the benefits of the project?
- Saves time and effort by automating document analysis and tagging.
- Improves document organization within Paperless-ngx.
- Provides a user-friendly interface for both automated and manual document processing.
- Offers flexibility through customizable processing rules and AI model selection.
- Easy to deploy and manage with Docker.
What are the use cases of the project?
- Individuals or organizations using Paperless-ngx to manage a large number of documents.
- Automating the categorization of scanned documents, invoices, receipts, and other paperwork.
- Improving searchability and retrieval of documents within Paperless-ngx.
- Creating a knowledge base from a collection of documents.
