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.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 366 days ago, with 19 contributors on GitHub.
Peaked at #92 in the weekly ranking the week of Feb 1, its best in the past year.
Use Cases & Benefits
- Automates document analysis, classification, and tagging for Paperless-ngx using OpenAI-compatible AI services and semantic search.
- Enables fully automated, customizable document workflows with natural language search powered by Retrieval-Augmented Generation (RAG).
- Use for automating document tagging and classification in digital archiving systems to save manual effort.
- Use for implementing semantic, context-aware search and Q&A across large document archives using natural language queries.
- Use for integrating multiple AI backends like Ollama, OpenAI, and DeepSeek to enhance document processing flexibility and accuracy.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Paperless-AI is an AI-powered extension for Paperless-ngx that brings automatic document classification, smart tagging, and semantic search using OpenAI-compatible APIs and Ollama.
It enables fully automated document workflows, contextual chat, and powerful customization — all via an intuitive web interface.
💡 Just ask: “When did I sign my rental agreement?” “What was the amount of the last electricity bill?” “Which documents mention my health insurance?”
Powered by Retrieval-Augmented Generation (RAG), you can now search semantically across your full archive and get precise, natural language answers.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
332+10
Open issues
56-7
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| D4Vinci/Scrapling | 98.1K | +6.9K | 65 | 1 day ago |
| Leonxlnx/taste-skill | 110.7K | +5.2K | 55 | 1 day ago |
| calesthio/OpenMontage | 77.2K | +4.2K | 40 | — |
| heygen-com/hyperframes | 79.6K | +4.1K | 45 | today |
| clusterzx/paperless-ai | 6.0K | — | 26 | 366 days ago |
| Category median | 98.1K | +5.2K | 45 | — |
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