Cleanup.pictures

This is the reason people come here. Brush over an object and the AI reconstructs what should sit behind it, guessing at texture, color, and shadow. It beats a clone stamp for irregular backgrounds like grass, water, or brick, because it doesn't need a clean patch to copy from, and that distinction is what separates it from older clone-based retouching tools that force you to hunt for a matching texture elsewhere in the frame. On very busy areas it can still leave a soft blur where the object used to be. That single trick is what lets you remove objects from photos that would otherwise need layers, masks, and a lot of patience in a desktop editor. The results vary by image. A clean sky is easy. Crowded street scenes are a different story.

Date stamps, logos, and overlay text all come out the same way as physical objects. Paint across the text, and the tool fills in the background. It's quick. As a watermark remover it works best on your own files, where a stamp or overlay is decorative rather than protective. The official guidance is blunt about the legal side: only remove a watermark from an image you have an explicit license to use, since watermarks usually signal restricted copyright.

You control what gets removed by painting a mask, not by typing a prompt. A larger brush tends to produce better results, especially when you overshoot the object and cover its shadow, because the algorithm needs enough surrounding context to infer what belongs in the gap. It takes a few seconds to learn: paint too tight and edges linger, paint a little wide and the fill looks cleaner.

The free tier lets you import images of any size and export at 720px, which covers social posts, profile pictures, and most web use. Anyone producing content for print, large banners, or high-density displays will need to move up to the paid tier before the resolution cap becomes a real problem. There's no account wall for basic use, so you can test it on a real photo first. Waste no money deciding. Load a picture, check the edge quality, and only then ask whether the resolution limit actually matters for your work.

The subscription removes the size cap, so you can export at the original resolution and use results for print or large banners. The same subscription works across desktop and mobile, and a trial lets you check HD quality before paying. It costs less than most single-purpose editors.

Developers can call the cleanup model directly through an API that accepts an image and a mask, with a mode switch between fast and quality. It's aimed at teams building cleanup into their own product rather than people editing photos by hand, and it's metered by credits, so you pay for what you actually run.

Every edit comes with a comparison view, which matters more than it sounds. AI fills fail in specific ways, and seeing the original next to the result is how you catch a smeared patch before you download. You can go straight back to the brush and try a wider mask. That loop is the whole workflow, and it's short: brush, check, re-brush, download.