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Paperless-ai

Automated document analyzer for Paperless-ngx using OpenAI, Ollama, Deepseek-r1, and any OpenAI-compatible API to automatically analyze, tag, and manage your documents

★ 5,818 GitHub MIT document-analysispaperless-ngxragaidockeropen-sourceautomation Automation Tools

Overview

Paperless-ai is an intelligent automated document analyzer that integrates directly with Paperless-ngx to automatically analyze, tag, and categorize your documents using AI. It supports multiple AI backends including OpenAI API, Ollama (local LLMs), Deepseek-r1, Azure OpenAI, and any OpenAI-compatible API. The tool features a RAG-ready setup with vector database integration, full-text search capabilities, and multi-language document analysis. It can generate contextual tags, detect document types, recognize content patterns, and automatically organize incoming documents into the right categories. Paperless-ai runs completely self-hosted via Docker, ensuring your document data never leaves your infrastructure. With 5.8K GitHub stars and 5.7M Docker pulls, it is a mature, well-adopted solution for automating document workflows.

Requirements

Min vCPU
1
Min RAM
1024 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
2048 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  paperless-ai:
    image: clusterzx/paperless-ai:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/paperless-ai:/data

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Guides & articles

Paperless-ai Docker Setup: Get AI-Powered Document Tagging in 10 Minutes

Step-by-step tutorial to set up Paperless-ai with Docker, connect it to Paperless-ngx, and automate document classification with AI.

Jul 14, 2026

Paperless-ai: Stop Manually Tagging Documents — Let AI Do It

Paperless-ai is an automated document analyzer for Paperless-ngx that uses AI to automatically analyze, tag, and categorize your documents. Here's our complete guide.

Jul 14, 2026