AI Object Remover
Remove objects from photos with AI. Paint over unwanted people, items, labels, text, or distractions and let AI fill the background naturally.
Drop a file here or click to upload
AI object remover features
Process a product catalogue
Import image URLs to your workspace, then use supported batch tools within your plan's limits.
Paste image URLs or import a CSV of image links.
Sign up to import image URLsFrequently Asked Questions
Upload the photo, paint over the object you want to remove, then run the AI object remover. The model fills the masked area from nearby background detail so the edit looks natural.
Yes. Mask the person and include shadows, reflections, and overlapping edges when needed. People removal works best when the background behind the person is simple enough for AI to reconstruct.
Photos with clear lighting, repeated background textures, and objects that take up a smaller part of the frame work best. Grass, sky, walls, fabric, and simple studio backgrounds usually inpaint better than complex patterns or faces.
It can struggle when the object covers a large part of the image, hides important detail, overlaps complex shapes, or sits on text-heavy backgrounds. In those cases, try a smaller mask, multiple passes, or a touch-up with Image-to-Image.
The AI works best on objects that take up a small part of the image. For larger removals, you may need multiple passes or manual touch-up. Very large objects may leave visible artifacts since there's less context for the AI to work with.
The inpainting model reads the surrounding context to fill removed areas. It works well on regular textures like grass, sky, walls, and fabric. Complex backgrounds may require refinement.
Yes! Paint over all objects you want removed in a single mask, or process multiple times for complex scenes. For best results with multiple objects, consider removing them one at a time.
You can re-process with a different mask, try adjusting the masked area, use our Image-to-Image tool for touch-ups, or run multiple passes for gradual refinement.
Yes, object removal can work on text, date stamps, labels, draft marks, and watermarks on images you own or have permission to edit. For best results, mask the entire text area including any shadow or background affected by the text.
Starts at 3 credits; source megapixels can increase the quote. Multiple passes are charged separately, and the exact quote appears before each run.
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