Pre‑edit workflow

Review, analyze and select — before you edit.

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.

Screenshot: RAWFetcher grid view with RAW+JPG pairs

A fast workflow

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.

1Connect camera/SD
2Load thumbnails & metadata
3Analyze: sharpness • subject • place
4Filter, mark and rate
5Export your selection

Analysis & features

RAWFetcher helps you “pre‑sort” quickly using lightweight analyses and practical filters — designed to spend less time on rejects.

Sharpness analysis

Automatic sharpness scoring per image. The analysis combines multiple signals (e.g. Laplacian variance, Tenengrad energy and a high‑frequency proxy), identifies the sharpest region and marks it in the preview. An additional aesthetics score (Apple Vision) rates composition and visual impact — both are available as filters.

Sharpness score Sharpest spot Aesthetics score

Subject detection

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.

Vision tags Subject filters

Place resolution

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.

GPS → place Reverse geocoding Smart caching

Burst mode

Burst sequences are detected automatically and shown as a calm stacked deck with a count badge — expand, pick the best frame, done. Even 16,000 photos stay manageable; ratings can apply to the whole stack.

Burst detection Stack view Shared rating

Batch processing

Analyze and process large sets of images at once: sharpness analysis, subject detection and place resolution for all images simultaneously.

Batch analysis Parallel processing

Smart geocaching

Place resolution uses smart caching: images within 500m and 5 minutes share the geocoding result. Reduces API requests and speeds up processing.

Radius caching Time window Configurable

RAW+JPG pairs

When your camera records RAW and JPG together, RAWFetcher detects the siblings automatically and shows them as a pair: shared frame in the grid, RAW+JPG badge in grid and list.

Automatic detection Pair frame

Display exposure

Shot too dark or too bright? The exposure control in the preview (±3 stops) smoothly brightens or darkens the view — for judging only, the image itself stays untouched.

±3 EV GPU-smooth

Persistent caches

Previews, scores and analyses are remembered per image: insert the same card the next day and everything is right there. If the card is unplugged, RAWFetcher reconnects automatically.

Analysis cache Auto-reconnect

Filters & selection

Filter by file type, EXIF values, date, place, rating and minimum sharpness.

  • RAW/JPEG
  • Focal length • aperture • shutter
  • Date/place/rating
  • Sharpness & aesthetics score (AI)
  • “Selected only” focus mode

Export & folder structure

Export exactly your selection and let RAWFetcher build folders by subject/date/type/place. Optionally, tags/place can be written into EXIF.

  • Custom folder order
  • Filename prefix
  • Optional: write tags/place to EXIF

Screenshots

A quick look at the main views.

Screenshot: burst series grouped into stacks
Screenshot: preview with AI sharpness analysis and exposure control

Focus on what matters

Switch to 1:1 with a click, let the AI mark the sharpest spot in the frame, and use the exposure control (±3 EV) to brighten dark shots for judging — without changing the image.

Now available in the App Store

Download RAWFetcher for only 9.99 € and start reviewing and analyzing your photos — before importing them into your editing workflow.