snapfiddle AI Image Editor

Brush over the person, cable or price tag you want gone and the marked area fills with content that matches its surroundings. You don't trace the outline. Covering a little extra usually beats a tight selection because the fill has more context to work from. Undo and re-mark if the first result misses.

The background model loads into the browser and processes the image on your own machine. Two things follow: the photo never leaves your computer, and the action costs no credits. You get a subject on a transparent canvas, ready to drop over another image.

This is inpainting with a plain language prompt. Mark a region, type what belongs there, and only that region is regenerated. The rest of the photo keeps its light and framing, which is the whole point. "Red leather armchair" works better than a paragraph about the room.

Repair fills a small marked area with surrounding content. It handles the leftovers from object removal and the visible seam where two photos meet on the canvas. Small marks work better than one large one, since the fill reads the pixels around your selection.

Describe an image and it appears on the canvas as an ordinary image. Every other tool then applies to it, so you can erase part of it, replace a region or merge it with a photo. No export, no second tab. Lettering and small faces are where it fails.

The image upscaler enlarges a small or soft file and reconstructs detail as it grows, rather than spreading existing pixels over a larger area. Old exports, screenshots and compressed downloads come out sharper. It invents plausible detail, so a badly blurred photo gets crisper without becoming more accurate.