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Paperless-AI

Paperless-AI automates document analysis and tagging for Paperless-ngx using OpenAI and Ollama.

Description

Paperless-AI is an automated document analyzer designed to enhance the functionality of Paperless-ngx. It leverages the power of OpenAI API and Ollama (supporting models like Mistral, Llama, Phi 3, and Gemma 2) to automatically analyze and tag documents within Paperless-ngx. Key features include automated scanning, AI-powered analysis for metadata extraction, custom tagging options, manual AI-assisted analysis mode, and an intuitive web interface for configuration and monitoring. It offers a chat function to query documents using AI, Docker support for easy deployment and management, and robust error handling and health checks for reliable operation.

Features

Paperless-AI offers automated document scanning and AI-driven analysis using OpenAI and Ollama. It automatically assigns metadata such as titles and tags. Users can define custom tagging rules and selectively choose which tags to apply during processing. A manual mode provides AI-assisted document analysis in a web interface. An interactive chat function allows for AI-powered querying of documents. The system includes a modern web interface for setup, monitoring, and managing the document processing workflow. It's designed for reliability with built-in error handling, health checks, and Docker support.

Benefits

Paperless-AI significantly improves document management efficiency by automating the tagging and organization process, saving time and resources. Its AI-powered analysis ensures accurate and consistent metadata assignment. The customizable features allow tailoring the system to specific needs. The user-friendly web interface simplifies configuration and monitoring. Docker integration enables seamless deployment and management. Health checks and error handling ensure system reliability and prevent data loss.

Links

Home page
Key info
Open Source
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European
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Hosting Information
github.com -> Germany
Hosted by: GITHUB