RAWFetcher is a macOS app designed to simplify the early stage of your photo workflow: load thumbnails & metadata, assess sharpness, detect subjects, resolve locations, mark and rate — then export only the images you actually want to import into your editor.
RAWFetcher focuses on the part that often takes the most time: reviewing, rating and selecting your photos — before Lightroom, Capture One or other editors come into play.
RAWFetcher helps you “pre‑sort” quickly using lightweight analyses and practical filters — designed to spend less time on rejects.
Automatic sharpness scoring per image. The analysis combines multiple signals (e.g. Laplacian variance, Tenengrad energy and a high‑frequency proxy) and identifies the sharpest region.
On demand, RAWFetcher assigns subject tags (e.g. people, animals, landscape). This makes it easy to select images based on what’s in the frame.
If GPS data is present, RAWFetcher can resolve it to a human‑readable place name (reverse geocoding) — useful for sorting and later cataloging. Smart caching reduces API requests for nearby locations.
Automatic detection of burst sequences based on EXIF data or timestamps. Bursts are displayed as stacks and can be rated together.
Analyze and process large sets of images at once: sharpness analysis, subject detection and place resolution for all images simultaneously.
Place resolution uses smart caching: images within 500m and 5 minutes share the geocoding result. Reduces API requests and speeds up processing.
Filter by file type, EXIF values, date, place, rating and minimum sharpness.
Export exactly your selection and let RAWFetcher build folders by subject/date/type/place. Optionally, tags/place can be written into EXIF.
A quick look at the main views.
In the preview you can switch to 1:1 and pan the image — perfect for quickly checking sharpness and fine detail.
Download RAWFetcher for only 9.99 € and start reviewing and analyzing your photos — before importing them into your editing workflow.
