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 an
What is 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.
Overview of paperless-ai
What it is
An automated document analyzer for Paperless-ngx that uses OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible services to automatically analyze and tag documents. It is not currently maintained; the author is rewriting the codebase and may not continue the project.
Key features
- Automatically detects new documents in Paperless-ngx and assigns title, tags, document type, and correspondent
- Supports OpenAI, Ollama, DeepSeek.ai, OpenRouter.ai, Perplexity.ai, Together.ai, LiteLLM, VLLM, Fastchat, Gemini (Google), and other compatible backends
- RAG-based AI chat for natural language document search and Q&A
- Web interface for manual AI tagging, accessible via /manual
- Smart tagging rules to limit which documents are processed and disable prompts
Use cases
Automated document classification and tagging in Paperless-ngx; semantic search across a full document archive; answering natural language questions about documents (e.g., “When did I sign my rental agreement?”); manual review of sensitive documents.
Getting started
First-time install: restart the container after completing setup (API keys, preferences) to build RAG index. For local development, run:bashnpm installnpm run test
License and pricing
MIT License.
Based on the project's public README and repository metadata.
