AI Product Photo Editor

The edit is instructed to keep the item — shape, colour, label, texture — and change only the scene around it. That instruction is also its honest limit: preservation is very reliable on simple, solid objects, and less so on fine printed text, repeating patterns or reflective surfaces, which can drift in a way a buyer might notice. Always compare the output against the real product before it goes into a listing; if a label has drifted, re-run with "keep the label text exactly as shown" in the brief.

It is the standard for the main image on most marketplaces, and the editor produces it in one pass. Galleries convert better with variety though — after the white shot, restage the same source into one lifestyle scene and one close-up, which is three listing images from a single snapshot.

Sharp focus, even light, the whole product in frame, shot roughly level with the item. The editor rebuilds everything around the product but preserves the product as photographed — so a dark, blurry or cropped source caps how good the output can be. Daylight near a window beats a ceiling bulb every time.

Yes — describe the scene the way you would brief a stylist: the surface, one or two props, the light. "On a warm oak café table next to a ceramic mug, soft morning window light" is the kind of sentence that lands. Keep props generic; asking for branded objects in the scene is where results get unpredictable.

The editor runs on Kavel's free image engine, and signed-out visitors get free credits per browser — enough to run the first edits before creating an account. The estimate shows in the generator before each run, and a failed generation is refunded automatically (unless it broke the content policy), so building a full listing set costs a handful of credits, not a photographer's day rate.