Upload an image, mark only the area you want repaired, and let AI rebuild the background while preserving the rest of the photo.
Remove distracting captions, old date stamps, labels, and visual notes from images you own. Mask the area once and let AI rebuild the surrounding texture.
Clean sales stickers, small labels, scuffs, and distracting marks before publishing product images, thumbnails, social ads, or presentation assets.
Brush or box only the unwanted area so the model can focus its repair on that region. Inspect the mask boundary and nearby texture before publishing.
A focused object removal workflow for user-owned images, powered by mask-based AI repair.
Remove people, props, background clutter, and small distractions from product photos, social images, and creative assets.
Clean unwanted text, signs, labels, captions, and visual notes from images you own while preserving nearby texture.
Fix spots, scuffs, stamps, stains, and small imperfections with mask-based AI inpainting.
Included monthly credits are used first. Purchased top-up credits cover any shortfall and do not expire.
Clear JPG, PNG, WebP, HEIC, and HEIF images work best. Paint slightly beyond the object or mark so the model can blend edges naturally.
Choose the quality you need before running cleanup: Quick costs 1 credit, Standard costs 3 credits, and Best costs 6 credits.
Yes. For simple images, mark several areas at once. For complex scenes, clean one area, use the result as input, then clean the next area.
This tool is for images you own or have permission to edit. It should not be used to remove ownership marks from third-party content.
Nano Image’s AI Image Cleanup removes selected objects, text, marks, and distractions from a photo while rebuilding the marked area from nearby image content. Paint a mask over what you want to remove; no written prompt is needed. Use cleanup when the surrounding scene should remain. Use background removal when you want to isolate the whole subject on transparency.
Upload the image and cover the entire unwanted object with the brush or rectangle tool. Include its shadow or reflection when that also needs removing. Choose a quality level and run cleanup. Inspect the repaired edges at full size before downloading; a small follow-up mask can fix remaining fragments. Every new cleanup run uses credits.
Keep the mask close to the unwanted content, with a little margin around its edges. Preserve useful context such as a nearby product outline or the horizon. For several distractions, try removing them individually. Large masks over patterned fabric, repeating tiles, faces, or detailed labels are harder to fill convincingly.
No. The tool generates a plausible replacement based on surrounding pixels. It cannot recover hidden original detail. Review textures, straight lines, and repeated patterns carefully. Do not use a cleaned image as proof of an unedited scene or as an accurate reconstruction of missing information.
Yes, you can select text or marks in images you own or have permission to edit. The tool replaces the selected area; it does not extract or translate the text. Avoid covering product lettering that should remain. Use the text-removal page for examples, or batch cleanup for a similar edit across several images.
| Your goal | Tool | Result |
|---|---|---|
| See another viewpoint | AI Camera Angle Generator | New 2D view with inferred details |
| Erase a selected distraction | AI Image Cleanup | Filled-in area within the existing scene |
| Isolate the whole subject | AI Background Remover | Transparent PNG cutout |
Sign in to process images. Only upload content you own or have permission to edit. Sexually explicit content and exploitation are prohibited under our terms. Input safety blocks do not use generation credits. See current pricing and our privacy policy.