Cullit vs Facet
Cullit
cullit.app
Facet
ncoevoet.github.ioSide by side
| Figure | Cullit | Facet |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 2 |
| Spec score · AI Photo Culling Software | 8.0 (#11) | 8.9 (#3) |
| Face recognition | Cullit says it does not identify people, match faces across photos, or create face groups or a face database. | The gallery detects faces, clusters people, supports naming and merging, and provides blink and expression indicators. |
| Integrations | Cullit exports picks to Lightroom, Capture One, or a folder, and writes star ratings and color labels to XMP sidecars read by Lightroom Classic. | XMP sidecars connect Facet with Lightroom, darktable, digiKam, Capture One, and Immich workflows. |
| What it does | Cullit is a photo-culling app for photographers, with on-device AI assistance for reviewing shoots. | Facet analyzes local photo libraries, scores images, supports culling, and serves a browser gallery. |
Plans
In their own words
Facet
Facet is a free, local tool for scoring, culling, organizing, and serving a web gallery for photo libraries. It runs on the user's machine without cloud services, accounts, or API keys. Its scoring evaluates nine dimensions, including aesthetic quality, composition, sharpness, color, exposure, face quality, subject saliency, and dynamic range. It detects bursts, similar photos, blinks, and duplicates, with a dry-run preview for automatic culling. The gallery includes natural-language semantic search, filters, timeline and map views, albums, and themed slideshows. Face tools group people and support searching, renaming, merging, and organizing clusters. XMP sidecars provide metadata interoperability with Lightroom, Capture One, digiKam, and darktable. Users can send photos to a WebDAV inbox, or share revocable album links that need no recipient login; proofing supports hearts and comments, with an optional PIN. Core functions work on CPU, while an NVIDIA GPU unlocks additional models and features. Facet can be installed with Docker or natively on Linux and macOS, requires Python, and does not provide RAW editing or development.