Fundamentally, when you take dozens of photos in a day, they are likely to be all slightly different in terms of crop.
As I had done some work with facial feature recognition, my friend asked if the same tech could be used for his problem... and here's why FaceCrop came to be :-)
How does it work:
- drop in your photos
- FaceCrop detects faces using face-api.js or tracking.js
- FaceCrop suggests crops
- fine-tune the crops individually or globally
- export the crops in a .zip file.
To note, everything runs client-side on the browser: no uploads, no server-side, no accounts. It was mostly developed using some code I had from a previous project and some Claude Code.
Would welcome constructive feedback most importantly on the crop adjustment UI/UX, but also on the detection accuracy, suggested crop shape, etc.
