Object remover

Brush over what you want to remove. AI fills it automatically.

Scroll down for tips, limits, and FAQs

Object cleanup with brush-guided AI inpainting

Pillar guide: How to Remove Backgrounds for Product Photos

AI object removal works best when you mark only the pixels that truly need to disappear. Oversized masks make reconstruction harder, especially near edges and repeating patterns.

This Object Remover runs LaMa ONNX directly in the browser, so you can remove text, cables, tourists, and clutter without uploading source files.

Only the area you paint is regenerated, so the rest of the photo keeps its original quality. Use Undo and Redo to move through passes, and drag the compare handle on the image to check before/after before download.

AI object removal uses inpainting: you mark pixels to delete, and the model reconstructs plausible background from nearby context. It is ideal for tourists, wires, logos, text overlays, and small scene clutter.

This tool runs with LaMa ONNX directly in-browser out of the box, keeping the same brush-and-clean workflow used by modern online object removers.

Best results come from incremental edits. Mask one element, apply inpainting, inspect artifacts, then continue with the next element instead of masking half the image in one run.

Inpainting workflow

Upload an image and paint over the object area you want to remove.
By default, Object Remover runs inpainting automatically after each brush stroke.
Turn off Auto-remove to paint several areas first, then clear them all in one pass with Remove selected.
Only the painted area is regenerated; the rest of the image stays exactly as your original, at full resolution.
Use Undo and Redo to move back and forth between generated states.
Drag the compare handle on the image edge to check before/after (it snaps back when you release), then download.

Common use cases

Remove photobombers from travel or event shots.
Clean product images by deleting labels, reflections, or background clutter.
Erase text overlays, date stamps, and utility objects from screenshots.

Practical tips

Keep masks tight around the object; extra mask area increases artifacts.
Masking precisely also protects quality, since only the painted region is regenerated.
For repeating textures (brick, grass, fabric), work in small patches.
When edges fail, do another short pass on the problematic region only.

Limitations to know

Very large removals may require multiple passes and manual review.
High-detail geometry (faces, fingers, typography) can produce synthetic artifacts.
Model quality and speed depend on device capabilities and ONNX runtime support.

Related guides

Frequently asked questions

Is this the same as background removal?

No. Background removal separates subject from backdrop; object removal reconstructs selected regions inside the image.

Can I compare edits before downloading?

Yes. Drag the compare handle on the editor to reveal the original on the left and your current edit on the right. When you release, the view snaps back to the full edit so brushing is not blocked. Use Undo and Redo to step through passes.

Does removing an object lower the quality of the whole image?

No. Only the area you paint is regenerated and blended back in. Every other pixel stays exactly as in your original, at full resolution.

Why do I still see artifacts?

Large or imprecise masks are the main cause. Reduce mask size and run two or three focused passes instead of one broad fill.