Local RAG for scanned documents and OCR
Tools tagged for scans and OCR, or whose listing says they read scans/images. 13 tools, sorted by GitHub stars.
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| Tool | Hardware | Fully offline |
|---|---|---|
| RAGFlow Active Difficulty: Medium Community report | 4 cores, 16GB RAM, 50GB disk recommended (Docker) | โ Yes |
| Docling Active Community report | CPU OK, GPU faster | โ Yes |
| Cherry Studio Active Difficulty: Easy Docs only | Desktop app (Windows, macOS, Linux) | โ Yes |
| Paperless-ngx Active Docs only | Low (Raspberry Pi OK) | โ Yes |
| LightRAG Active Docs only | Depends on chosen LLM; graph extraction wants a 14B+ model | โ Yes |
| Khoj Active Difficulty: Medium Docs only | Server; GPU optional | โ Yes |
| Kotaemon Active Difficulty: Medium Docs only | Docker; GPU optional | โ Yes |
| MaxKB Active Difficulty: Medium Docs only | Docker (PostgreSQL + pgvector) | โ Yes |
| SurfSense Active Difficulty: Easy Docs only | Desktop app (Windows x64, macOS Apple Silicon, Linux x64); pick a local or remote model | โ Yes |
| Unstructured (OSS) Active Docs only | CPU; hi_res needs more | โ Yes |
| h2oGPT Stale (no release in 12+ months) Docs only | GPU recommended | โ Yes |
| R2R Stale (no release in 12+ months) Difficulty: Medium Docs only | Docker, Postgres | โ ๏ธ Needs config |
| paperless-gpt Active Docs only | Needs Paperless-ngx + LLM | โ Yes |
How we know: Docs only = taken from the project's own README/docs, not tested by us. Community report = an owner published a working (or problem) report; links to the source. Vendor guide = an official NVIDIA playbook exists. We have not hands-on tested any tool yet, so nothing here says "Tested by RAGShelf".
Setup recipes
Comparisons
- AnythingLLM vs RAGFlow
- RAGFlow vs Dify
- LightRAG vs Microsoft GraphRAG
- Docling vs Unstructured (OSS)
- Khoj vs Open Notebook
Groupings use only what each listing's data supports. Last updated 2026-10-26.
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