buldezir / lemmary
Lemmary turns scans, PDFs, and office files into an organized library you can search, review, and research in plain language.
Why this job: topics: rag, ocr






What it does
- Upload PDF, image, plain text, CSV, Word (.docx), or Excel (.xlsx) documents — one at a time, or a whole folder dropped or picked at once
- Full backup and restore. download your whole library — files, OCR text, metadata, thumbnails and taxonomy — as one zip, and restore it into this or another instance
- Optional encryption at rest. the volume holds only ciphertext, the instance boots locked until someone signs in, and nobody but your own accounts can unlock it — see docs/encryption.md
- Scan straight from a network scanner (Upload → Scan): eSCL/AirScan over the LAN, no driver, found by mDNS or by sweeping the subnet, several pages merged into one document — see docs/scanning.md
- Drop files into a watched folder (INGEST_DIR, a bind mount in Docker): scanned on a schedule, subfolders become tags, and the original is kept or deleted as you choose — see docs/setup.md
Get started
cp .env.example .env
# Optional: seed OCR/AI keys in .env for first boot (skips those wizard steps)
docker compose up -d - Maintenance
- Active
- Last commit 4 days ago
- Stars
- 113
- +14 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v2026.11.6
- Released 4 days ago
- Built with
- Go
- 70% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 96% closed
- 2 still open
- Pull requests
- 118 merged
- 0 waiting
- Releases
- 18
- 18 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| Ontos-AI / knowhere | 3,953 | yesterday | Apache-2.0 | No downloads |
| enoch3712 / ExtractThinker | 1,604 | 55 days ago | Apache-2.0 | No downloads |
| watat83 / document-chat-system | 149 | 28 days ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Go 70%
- TypeScript 29%
- Shell <1%
- Dockerfile <1%
Topics
- document-intelligence
- document-management
- document-processing
- ocr
- rag
- rag-pipeline
Project record
- JobRAG and search
- StatusListed
- Commits340
- Forks5
- Watching1
- Stars in 28 days+38
- CreatedJun 14, 2026
- First seen by usNov 7, 2026
- CheckedNov 10, 2026
