This illustration shows a room cleanup: the cup and small clutter leave the coffee table while the surrounding living room remains the reference. The tabletop is the area to inspect most closely.
Specify both the targets and the furniture that belongs in the photo.
Prompt to try
Remove the cup and small loose items from the coffee table. Reconstruct the tabletop naturally. Keep the table, sofa, rug, room layout and lighting unchanged.
Illustrative example. Results depend on your source image and settings.
Use a short, specific instruction. The object remover works from your description; there is no brush selection required in this input.
Sign in and upload a JPG, PNG or WebP with the distraction visible. Each image can be up to 10MB; four attachments are supported.
Use location and appearance: “remove the red cup on the right of the coffee table.” Name nearby objects that should remain.
Compare the cleared patch with its surroundings. Check for broken lines, repeated textures or changed furniture before downloading or requesting a revision.
Different distractions call for different instructions. Start with the smallest edit that solves the composition problem.
Clear loose items from a desk, shelf or table while naming the furniture to preserve. Wood grain and patterned surfaces deserve an extra check where an object previously blocked the view.
Identify a passerby by position or clothing and state who should remain. Removal becomes harder when the person overlaps the main subject or covers a large part of the scene.
Describe the cable’s path along a wall or floor. Review corners, skirting boards and tile lines afterward, since a thin distraction can still cross several important structural details.
Ask to remove a bin, sign or loose item from a landscape photo. Grass, paving and foliage provide context for reconstruction, but repeating patterns may still look uneven in the result.
The best review starts with a clear description of the intended change and the parts of the image that matter.
“The blue bottle behind the plate” identifies a target more clearly than “the object.” In crowded scenes, start with one distraction.
AI estimates what fits behind a removed object. It cannot reveal what the camera never captured; large reconstructions contain newly generated content.
A removed object may leave a reflection or shadow. Mention these traces in your request, then check whether the remaining lighting makes sense.
Compare the result at full size and at its intended viewing size. Also check nearby faces, text and straight edges for unrelated changes.
Practical answers before you start a cleanup.
Upload a source and describe one object you want gone, including where it sits in the frame.
