
Facet
Summary
Facet is a free tool for scoring, culling, organizing, and browsing photo libraries stored locally on your machine. It rates images across nine dimensions, including composition, sharpness, color, exposure, face quality, subject saliency, and dynamic range. It can flag bursts, similar images, blinks, and duplicates, and offers a preview before automatic culling. Its web gallery provides semantic search, filters, timeline and map views, albums, and themed slideshows. Face tools group people and let you search, rename, merge, and organize those groups. XMP sidecars support metadata exchange with Lightroom, Capture One, digiKam, and darktable. Users can also send photos to a WebDAV inbox, or share revocable album links without requiring recipients to log in; proofing offers hearts and comments, with an optional PIN. Core functions run on CPU, while an NVIDIA GPU enables additional models and features. Facet has no cloud service, account requirement, or API keys. It can be installed with Docker or natively on Linux and macOS, and requires Python.
Who it is for
Facet suits people with large local photo libraries who want to find strong images and sort bursts or near-duplicates. It is also relevant to users who want local processing and web-based browsing without cloud accounts.
What is good
- Scores photos across nine dimensions.
- Detects bursts, blinks, similar photos, and duplicates.
- Gallery includes semantic search, maps, and albums.
- Works on CPU for core features.
- Free and distributed under the MIT license.
What to know first
- Does not provide RAW editing or development.
- No mobile app or cloud backup.
- Native installation is listed for Linux and macOS; Python required.
Verdict
Facet brings photo scoring, culling, face grouping, and gallery browsing together for local libraries. Its lack of RAW development and cloud backup matters if those are part of your workflow.
Facet plans and pricing
All plansCompared on AI photo culling software
- Free plan
- Yesncoevoet.github.io
- AI quality scoring
- Yesncoevoet.github.io
- Subject detection
- Yesncoevoet.github.io
- Duplicate detection
- Yesncoevoet.github.io
- RAW photo support
- Yesncoevoet.github.io
- Blur detection
- Yesncoevoet.github.io
- Closed-eye detection
- Yesncoevoet.github.io
- Lightroom export
- Yesncoevoet.github.io
Facts
- Product
- Facet scores, culls, organizes, and serves a web gallery for local photo libraries.github.com · 28 Sept 2026
- Privacy
- Facet runs on the user's machine and says it uses no cloud, accounts, or API keys.github.com · 28 Sept 2026
- Photo scoring
- It scores photos across nine dimensions, including aesthetic quality, composition, face quality, sharpness, color, exposure, subject saliency, and dynamic range.github.com · 28 Sept 2026
- Culling
- It detects bursts, similar photos, blinks, and duplicates, and provides auto-culling with a dry-run preview.github.com · 28 Sept 2026
- Gallery
- The gallery includes natural-language semantic search, filters, timeline, map, albums, and themed slideshows.github.com · 28 Sept 2026
- People
- Facet detects and groups faces, with tools to search, rename, merge, and organize person clusters.github.com · 28 Sept 2026
- Integrations
- Facet documents metadata interoperability with Lightroom, Capture One, digiKam, and darktable using XMP sidecars.github.com · 28 Sept 2026
- Phone uploads
- Users can send photos to its built-in WebDAV inbox with PhotoSync or another WebDAV app.github.com · 28 Sept 2026
- Sharing
- Users can create album links that need no recipient login and can be revoked; client proofing supports hearts and comments, with an optional PIN.github.com · 28 Sept 2026
- Hardware
- Core scoring, face detection, culling, gallery, search, albums, and metadata export work on CPU without a GPU; an NVIDIA GPU unlocks additional models and features.github.com · 28 Sept 2026
- Limits
- Facet does not provide RAW editing or development, and its README says it has no mobile app or cloud backup.github.com · 28 Sept 2026
- Setup
- Facet can be installed with Docker or natively on Linux and macOS; its README says it requires Python.github.com · 28 Sept 2026
- Audience
- The maker describes Facet as a fit for people with large local libraries who want to find top shots and cull bursts and near-duplicates.github.com · 28 Sept 2026
- License
- Facet is distributed under the MIT license.github.com · 28 Sept 2026
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Sources
- github.com/ncoevoet/facet· checked 28 Sept 2026


