Cullit vs Culvia
Cullit
cullit.appCulvia
github.comSide by side
| Figure | Cullit | Culvia |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | — | Yes |
| Plans published | 2 | 0 |
| Spec score · Photo Culling Software | 8.0 (#11) | 7.7 (#18) |
| 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. | Exported CSVs include helper columns mapped to Lightroom and Capture One ratings, flags, and color labels; writing XMP, sessions, catalogs, or sidecar files is described as future work. |
| Intended users | The product is presented for wedding, sports, and portrait photographers. | It is aimed at photographers reviewing similar frames from portraits, events, weddings, street sessions, practice shoots, editorial selects, and personal archives. |
| What it does | Cullit is a photo-culling app for photographers, with on-device AI assistance for reviewing shoots. | Culvia is a local-first photo culling, scoring, review, and delivery workbench for photographers. |
Plans
In their own words
Culvia
Culvia is a local-first workbench for photographers to cull, score, review, and prepare photos for delivery. It can import folders or temporary uploads, scan subfolders, and deduplicate repeated paths. Local models score images for aesthetic and technical qualities and generate thumbnails for browsing. An optional OpenAI-compatible vision review can add image critique, subscores, retouching advice, and shooting advice. Photographers make the final selections by marking images as picks, holds, or rejects, with star ratings and color labels also available. Filters and sorting cover recommendations, technical quality, AI review, manual status, and other review dimensions. Culvia exports picked photos and CSV results for later editing and delivery; documented CSV fields map to Lightroom ratings, flags, and color labels, and to Capture One ratings and color tags. Photos and working data stay on the user's machine by default; images go to an external service only when vision review is enabled. The project is free and open source, with desktop packages for macOS, Windows, and Linux and a local web app. It is early-stage and does not replace a full RAW editor.