clusterzx/paperless-ai
An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.
Implements Retrieval-Augmented Generation (RAG) for semantic document search and natural language Q&A across the archive, enabling context-aware answers beyond keyword matching. Supports configurable rule-based workflows to selectively process documents and automatically assign titles, tags, document types, and correspondents. Provides both automated processing via webhook detection and manual review through a web interface for sensitive documents.
5,410 stars. Actively maintained with 1 commit in the last 30 days.
Stars
5,410
Forks
275
Language
JavaScript
License
MIT
Category
Last pushed
Mar 05, 2026
Commits (30d)
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/clusterzx/paperless-ai"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
kha-white/manga-ocr
Optical character recognition for Japanese text, with the main focus being Japanese manga
bytefer/ollama-ocr
Implementing OCR with a local visual model run by ollama.
alephpi/Texo-web
The web application for Texo, a minimalist SOTA LaTeX OCR model which contains only 20M...
alephpi/Texo
A minimalist SOTA LaTeX OCR model with only 20M parameters, running in browser. Full training...
Dartvauder/NeuroSandboxWebUI
(Windows/Linux/MacOS) Local WebUI with neural network models (Text, Image, Video, 3D, Audio) on...