Overlapping people or products
Remove the outermost unwanted subject first. Keep the person or product you want to preserve fully outside the mask, then refine the shared boundary.
Remove unwanted objects with AI, one careful pass at a time.
Brush an unwanted object, person, sign, or piece of clutter and let AI reconstruct the selected background. Sign in at confirmation to use one free successful cleanup.
- AI-guided background fill
- Multiple cleanup passes
- Compare with the original
JPG, PNG, WebP, or HEIC · Up to 30 MB · Large photos auto-optimized
Demo · BeforeE-commerce
Demo · BeforeTravel
Demo · BeforeHomeGive the AI a clear reconstruction task.
AI removal works by replacing the painted area with a new continuation of the surrounding scene. The quality of that continuation depends on the context you leave visible.
Step 1
Upload and inspect the background
Before brushing, identify nearby lines, texture, light direction, reflections, and repeated patterns that should continue through the object.
Step 2
Mask the complete unwanted object
Cover its visible edges and only the connected shadow or reflection that should also disappear. Avoid swallowing unrelated details.
Step 3
Review the fill, then refine
Compare the result with the original. If one edge or pattern looks wrong, use a smaller second pass starting from the latest result.
Handle difficult unwanted objects in stages.
Complex scenes are not a reason to use the largest brush. Split the problem into passes that each have enough surrounding evidence.
Shadows and reflections
Treat them as a second decision. Remove a connected shadow when it would look impossible without the object; keep natural ambient shadow that belongs to the scene.
Railings, tiles, and straight lines
Use a narrow pass across the interruption, then inspect whether the rebuilt lines align. A second small correction is safer than one wide mask.
Large objects
When an object occupies much of the frame, there may be too little evidence to infer the background reliably. Crop differently or remove smaller sections when the scene allows.
How AI rebuilds the part you remove.
The model does not uncover a hidden original background. It generates a plausible replacement from the pixels and structure around your mask, which is why the same brush can produce different results on a plain wall and a patterned fence.
Color and lighting
Nearby brightness, color temperature, gradients, and shadows tell the model how the replacement should sit inside the scene.
Edges and perspective
Wall corners, floor seams, horizons, rails, and table edges provide geometry. Preserve them when possible so the generated area can continue the same direction.
Texture and repetition
Grass, gravel, fabric, tiles, and foliage need believable variation. Small masks usually give more controllable results than removing a large textured region at once.
Remove unwanted objects from the photos you use every day.
Before / After
E-commerce
Remove tags, packaging clips, and background clutter.
Travel
Remove tourists and temporary signs.
Home and listings
Remove tripods, boxes, and indoor clutter.
Your first successful cleanup is free. Continued use has clear, auditable credits.
Why Pay
Chained editing
After the first cleanup, the next brush action continues from the latest result.
Free first, then per use
Each account gets one successful cleanup free. After that, only successful cleanups use 20 credits and failures are refunded automatically.
Secure boundary
Server-side keys, upload limits, mask limits, and request limits are enabled by default.
Try cleanup first, then add credits for continued use.
Pricing
Free
$0
1 successful cleanup per account
- Available after sign-in
- Failures keep the free use
- Quality check
Launch Pack
$4.99
one time · 25 successful cleanups
- Uploads do not count
- Failures are refunded
- No subscription commitment
Studio
$29
monthly · for creators
- Up to 50 successful cleanups monthly
- Failures are refunded
- Add a Launch Pack anytime
Business
Custom
high volume
- Higher concurrency
- API access
- Data policy options
Images are processed server-side. Model keys never ship to the browser.
Security
The browser uploads only a working copy and a mask. The fal.ai key stays on the server. The route validates file type, file size, selected area, and hourly request volume to reduce abuse.
Server key
The browser never receives the fal.ai key.
Upload limits
Only workspace-exported PNG images and masks are accepted.
Rate limits
Per-account and source limits protect free uses and credit balances from abuse.
How AI unwanted-object removal behaves.
FAQ
Does AI reveal what was really behind the object?
No. It generates a plausible replacement from the visible surroundings; it does not recover hidden ground truth.
Why can an AI fill look blurred or repeated?
Large masks, busy textures, missing edge information, and strong overlap make reconstruction harder. Try a smaller pass that preserves more surrounding context.
Can I run more than one cleanup pass?
Yes. A successful result becomes the starting image for the next brush action, so you can remove separate objects or refine one difficult area.
Can AI remove an unwanted person?
Yes, especially when the person is surrounded by a consistent background. Shared edges with another person or a large foreground subject are harder.
What happens if cleanup fails?
The photo and brush selection remain so you can retry. Signed-in failures are compensated, so only a successful cleanup consumes 20 credits.
Can I prepare the cleanup without an account?
Yes. Upload and brush before signing in. The account step appears only when you confirm AI cleanup, and your first successful cleanup is free.
Prefer a simpler starting guide?
Open the object remover guide for common objects, file limits, and a beginner-friendly workflow.