Crop an image around what matters

It builds a map of where visual detail sits by measuring brightness gradients and local contrast, then tests thousands of candidate rectangles and keeps the one with the densest detail. There is no object detection and no face recognition involved, so it will not tell you it found a person - it tells you where the detail is, which is what it actually measured.

No, and that is deliberate. A neural model would mean a multi-megabyte download and a slower result for a job that arithmetic already does well. The analysis is a few milliseconds of maths on a small copy of your image, so there is nothing to download and nothing to wait for.

No. The analysis and the crop both happen inside your browser, and a content security policy the browser enforces stops this page sending anything to another domain. You can watch the network panel while you use it and see that no request carries your image.

Switch to a different aspect ratio to see other framings, or use the regular crop tool to place the rectangle yourself. The suggestion is a starting point, not a verdict, and the tool tells you how much of the image's detail a given framing actually keeps so you can judge it.

Usually because the detail is spread evenly, which happens with landscapes, patterns and busy scenes. When no single region stands out the tool says so rather than pretending to be confident, and that is the moment to crop it by hand.

Cropping removes pixels but does not re-compress the ones it keeps any more than saving the file normally would. The output keeps the source resolution within the cropped area, and the format is preserved where your browser can encode it.