See how RawCull moves from detailed photo inspection to AI-assisted search and burst review, while keeping the photographer in control of every decision.
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RawCull Screenshots
A visual tour of photo review, similarity, burst culling, semantic search, and local AI model setup in RawCull.
1 - RawCull Screenshots
This visual tour shows how RawCull helps you inspect, group, search, and review photos before making the final selections.
Loupe View
The Loupe view keeps the selected photo large while nearby frames remain within reach. The information panel brings together the histogram, sharpness and focus results, file details, and camera settings needed for a careful decision.
Similar Photos in Grid View
Choose a reference photo and RawCull uses CLIP to bring visually related frames together. The grid makes it easy to compare poses and timing across the catalog.
Burst List
RawCull groups related frames into bursts and highlights a suggested pick. You can open a burst, run a deeper review, mark it complete, or defer the decision.
Burst Review
The burst reviewer places every frame in a filmstrip beneath a large preview. Scores and camera details provide evidence, while you choose the strongest moment, rate it, or reject it.
Semantic Search
Describe what you want to find in everyday language. RawCull ranks the locally
indexed catalog by meaning, as shown here for the search puffins in flight.
AI Settings
The AI settings show which local models and supporting features are ready. Here you can select the CLIP model used for similarity indexing and semantic search.
Model Downloads
RawCull lists each optional model with its purpose, source, licence, and current status. Models run locally after installation, and photographs are not uploaded as part of the download.
Download progress is shown in the same window, where an active transfer can also be cancelled.
