PhotoCull AI

What PhotoCull AI is

PhotoCull AI is a browser-based photo culling tool that analyzes images and sorts them into Keep, Maybe, or Reject. It scores sharpness, exposure, noise, color, and vibrance, and examines composition and EXIF metadata. For portraits, TensorFlow.js BlazeFace detects faces, while the app analyzes eye focus, catchlights, and blinks. You can review images in Grid, Large Grid, or Filmstrip views, use keyboard culling, compare photos side by side, and apply sorting and filters. Analysis metrics and EXIF data can be exported as CSV. The maker says photos are processed locally in the browser and stay on the user's machine. Its quick start lists Chrome, Firefox, Edge, and Safari as modern browsers for opening the app. The Free plan costs nothing and has an 80MB file size limit. RAW files are not supported, EXIF support is JPEG-only, and processing is single-threaded, so batches of 500 or more photos will be slow. Lightroom XMP sidecar export is on the roadmap, not an available integration.

Who it suits

PhotoCull AI suits photographers who want to sort photos in a browser and review them locally. It is a fit for workflows that use JPEG EXIF data rather than RAW files.

Limits

The Free plan costs nothing, is for local-only use, and has an 80MB file size limit. RAW files are unsupported, EXIF support is JPEG-only, and processing batches of 500 or more photos will be slow.

Getting started

1. Open the PhotoCull AI website in Chrome, Firefox, Edge, or Safari.
2. Add photos within the 80MB file size limit.
3. Review the Keep, Maybe, and Reject sorting and use a preferred view.
4. Use keyboard culling, side-by-side comparison, sorting, or filters as needed.
5. Export analysis metrics and EXIF data as CSV if needed.

Verdict

PhotoCull AI offers scoring, portrait checks, and several review views while keeping processing on the machine, according to its maker. Check the JPEG-only EXIF support, file size cap, and slower large-batch processing before relying on it for a collection.