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Paperless-AI - AI Productivity Tool

Overview

According to the GitHub repository (https://github.com/clusterzx/paperless-ai), Paperless-AI is an open-source automated document analyzer built to extend Paperless-ngx. It monitors Paperless-ngx document queues, sends extracted text to configurable AI backends, and writes back analysis results such as tags, classifications, and extracted entities. The project is intended as a modular worker that augments the existing Paperless-ngx pipeline rather than replacing core archival or OCR functionality. Paperless-AI is designed to work with multiple external AI providers (configured via environment variables) and focuses on automating repetitive document processing tasks: tagging and categorization, named-entity recognition, language detection, and generating brief summaries or metadata to improve search and organization inside Paperless-ngx. The repository documents deployment options suitable for self-hosting, and uses the Paperless-ngx API and standard container-based workflows for integration.

Installation

Install via docker:

git clone https://github.com/clusterzx/paperless-ai.git
cd paperless-ai
cp .env.example .env  # configure Paperless-ngx URL and AI provider keys
docker compose up -d  # starts the Paperless-AI worker

Key Features

  • Integrates with Paperless-ngx to consume documents and submit analysis results back
  • Supports multiple external AI backends via configurable API keys and environment variables
  • Automatic tagging and classification of documents based on AI analysis
  • Named Entity Recognition to extract people, organizations, dates, and amounts
  • Generates short summaries or metadata to improve searchability in Paperless-ngx

Community

Primary community interaction occurs on the project's GitHub repository via issues and pull requests. The repository includes documentation for configuration and deployment; users and contributors report, discuss, and submit fixes through standard GitHub workflows. For the most current activity, open issues, and contribution guidance, consult the repository page.

Last Refreshed: 2026-01-09

Key Information

  • Category: Productivity
  • Type: AI Productivity Tool
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