CullBench vs Culvia
CullBench
cullbench.comCulvia
github.comSide by side
| Figure | CullBench | 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 (#10) | 7.7 (#18) |
| Privacy | Photo content, previews, filenames, shooting information, and people information are not uploaded to a CullBench cloud for culling. | Local models, thumbnails, previews, SQLite data, uploads, and exports stay on the user's machine by default, and photos are sent to an external service only when the user explicitly enables OpenAI-compatible vision review. |
| Purpose | CullBench organizes similar photo frames locally to help photographers review and select images. | Culvia is a local-first photo culling, scoring, review, and delivery workbench for photographers. |
| Workflow | Users open a photo folder directly without importing it into a catalog. | It combines local scoring, optional vision-model critique, manual pick/hold/reject decisions, and export tools. |
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.