Remove Objects with AI
All image tools
Sign in to clean up your photos
Erase unwanted objects, people, text or watermarks.
How it works
1
Upload your photo and describe what should disappear: a stranger, power lines, a watermark, a shadow, any distraction.
2
The AI lifts the object out and reconstructs what was behind it, matching the lighting, texture and perspective of the scene.
3
Compare the result with the original using the slider, then download it in full quality.
Get the best results
Name the object and its location: “the red car on the left” works better than just “car”.
Remove one thing at a time for the cleanest fills: you can always run the result again.
Everything else stays untouched: only the object you describe is removed.
Your recent results
Your results will appear here.
About Remove Objects with AI
The AI Object Remover erases anything you name from a photo: a stranger in the background, power lines across the sky, harsh shadows, text, trash or glare. Describe the target in plain words and the model lifts it out, rebuilding what was behind it to match the scene’s lighting, texture and perspective.
Quick suggestions cover the most common removals, and a before/after slider lets you verify that the fill is seamless. Everything outside the described object stays untouched: same composition, colors and subject.
Removal runs on the server and uses credits from your account; failed attempts are not charged. Uploads and results are cleaned up automatically.
How to use Remove Objects with AI
- Sign in and upload a photo (JPG, PNG or WEBP), or paste it from the clipboard.
- Describe what should disappear: name the object and where it is.
- Click “Erase it” and wait a few seconds while the gap is rebuilt.
- Drag the before/after handle to check that the fill is seamless.
- Download the cleaned photo, or run it again to remove something else.
Frequently asked questions
It uses credits from your account per successful removal; failed runs cost nothing. You need to be signed in.
Name the object and its location: “the red car on the left” or “the person in the background” works far better than just “car” or “person”. Plain, specific words give the cleanest removals.
The model reconstructs the background from the surrounding context (matching lighting, texture and perspective), so the area looks like the object was never there rather than smudged or cloned.
Yes, and removing one thing at a time gives the cleanest fills. Download each result and run it again for the next object: each successful pass uses credits.
No. Only the object you describe is removed; the composition, colors and subject everywhere else stay untouched, which you can confirm with the before/after slider.
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Need help?
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