ncoevoet/facet

Local AI photo scoring, culling, and gallery — score, organise, and explore your library with face recognition and semantic search. No cloud, no subscriptions.

43
/ 100
Emerging

Facet helps photographers, hobbyists, and anyone with a large photo collection quickly find their best shots and organize their library. It takes your photos (JPGs, RAW files) and analyzes them across nine quality dimensions like sharpness and composition, then presents them in an interactive web gallery. You get curated 'Top Picks,' easy culling of bad shots, and powerful search and organization tools.

Use this if you want to automatically score, cull, and organize your vast photo library with AI, entirely on your own computer without cloud services or subscriptions.

Not ideal if you only have a few photos to manage or primarily rely on cloud-based photo services for storage and sharing.

photo-management photography digital-asset-management photo-culling image-organization
No Package No Dependents
Maintenance 13 / 25
Adoption 9 / 25
Maturity 11 / 25
Community 10 / 25

How are scores calculated?

Stars

70

Forks

6

Language

Python

License

MIT

Last pushed

Mar 18, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/ncoevoet/facet"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.