Cullora vs Culvia

Cullora is a desktop app for reviewing photo shoots and sorting selected images into folders; it is not an editor or catalog. It displays JPEG previews embedded in RAW files without an import step or catalog database, and supports ARW, CR2, CR3, NEF, RAF, ORF, DNG and JPEG. Burst sequences can appear as one grid tile, then open for frame-by-frame review. Pro's on-device Assist can flag closed eyes, soft focus, misfires and exposure issues, but it does not choose, move or delete photographs. Pro also writes ratings and flags to XMP sidecars for Lightroom or Capture One, and exports filtered photos as a static gallery folder viewable without an account or internet. Culling runs locally and works offline; Cullora says photographs are never uploaded. The free tier limits filing to 50 photos monthly anonymously or 200 with an account, while viewing and rating are unlimited. Pro is listed at €49.00 EUR one-time; the platform page offers a Windows beta for Windows 10/11 64-bit and says the macOS build is in progress, not released.

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.