Cleanup.pictures

You've got a vacation shot that's nearly perfect, except for the stranger walking through the frame and a date stamp burned into the corner. Cleanup.pictures is built for exactly that fix. You drag and drop the image onto cleanup.pictures, brush over what you don't want, and the AI fills in what it guesses was behind it. The site pitches this as the job photographers do before printing for clients: "remove time stamps or remove tourists from holiday pictures." It also mentions repairing cracks on old photographs, which makes it handy for restoration work too.

The pitch against older tools is clear. A clone stamp, like the one in Adobe Photoshop Fix, needs a clean background reference to copy from. Cleanup's inpainting model tries to reconstruct the hidden area on its own, so you aren't hunting for a patch of matching wall or sky. One testimonial from a marketing director at Raek says she fought "weird smears and lines" in other programs, then finished the same photo here in about 30 seconds. That's one customer quote, not a benchmark, but it matches what the tool claims to be good at.

The workflow carries over to other jobs the site lists. Real estate agents can strip personal items out of room photos, e-commerce sellers can clean up product shots for Instagram stories, and anyone can remove text, logos or watermarks. The free plan gives you unlimited images, but exports are capped at 720px. If you need full-resolution output, Pro costs $5 a month or $36 a year, and there's a usage-based API for developers who want inpainting inside their own product. It's a narrow tool that does one thing, and that focus is the point.