Object Removal
Paint a mask over the object, person, or text you want gone, and the LaMa inpainting model fills the area with content that matches the surrounding scene. What was there disappears; what replaces it looks like it was always there.
Upload Image
JPG, PNG, WebP (max 10MB)
Upload Mask
White = remove, Black = keep
Create a mask in any image editor: paint WHITE over areas to remove, keep rest BLACK.
Removing Objects...
This usually takes 10-30 seconds.
Objects Removed!
Processing Failed
An error occurred.
How It Works
- Upload your image and mask
- AI erases masked objects
- Download the clean result
Tips for Best Results
- Paint mask slightly larger than the object
- Simple backgrounds fill better
- Use high resolution images
Why Choose Our AI Object Removal
One-Click Removal
Draw over the object with the mask brush and click Remove. No layers, no clone-stamp tools, no manual patching.
Natural Fill
LaMa reads the texture and pattern of the area surrounding your mask and generates fill that continues those patterns across the gap. Brick walls tile correctly; grass blends without visible seams.
Clean Edges
The boundary between the inpainted region and the original image is blended so there is no visible halo or hard line where the mask ended.
High Resolution
Outside the masked region, not a single pixel is changed. The inpainted area is composited at full resolution so the output file matches the dimensions of what you uploaded.
Perfect For
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LaMa Inpainting Model
LaMa (Large Mask Inpainting) was designed specifically for the problem of filling large removed regions in photographs. Its Fourier convolution layers allow the model to see global patterns across the whole image, not just the pixels immediately adjacent to the mask, which is why it can continue a pattern like a repeating tile or a stretch of beach across a large hole.
The model was trained to handle masks of varying shapes and sizes, from a small piece of text in a corner to a person standing in the center of a scene. That breadth makes it reliable for the kinds of real removals that show up in product photography, real estate, and personal photos.
Frequently Asked Questions
Upload your photo, use the on-page brush to paint over the object you want removed, then click the remove button. The LaMa inpainting model analyzes the image context around the mask and generates replacement pixels that fit the surrounding background. The whole process usually completes in under a minute.
JPG, PNG, and WebP files are accepted in a range of resolutions. Higher resolution gives the inpainting model more surrounding context to match against, which generally produces a cleaner fill for complex backgrounds like foliage or textured walls.
Processing usually finishes within 30 seconds. Large files with complex masked regions take longer. A progress indicator is shown while the model is running.
Uploads travel over an encrypted connection and are accessible only to your account. Images are not shared or used to further train any inpainting model.
Uniform or near-uniform backgrounds, like a clear sky, an empty floor, or a plain wall, produce the most convincing fills because the model has an easy pattern to continue. Complex and highly varied backgrounds, like a busy crowd scene, are harder and may occasionally show subtle inconsistencies at the mask edge.
One image at a time. If a photo has multiple separate objects to remove, you can mask them all in a single pass before processing rather than running the tool multiple times.
The masking brush is the only tool you use. Paint over the object, press Remove, and download the result. No knowledge of layers, blending modes, or content-aware settings is required.
The cleaned image downloads in a standard format compatible with any image editor, publishing tool, or social platform. No intermediate conversion is needed.
You supply the original image, so the cleaned version remains your asset. Any existing rights or restrictions attached to the source photo, such as licensed stock imagery, carry over to the output and are still your responsibility.
Manual content-aware fill in Photoshop requires selecting around the object, running the fill, and then often manually patching where the result does not hold up. LaMa generates the fill in a single model inference, and its global pattern awareness often produces a more coherent result on large masks without any additional retouching.
Free Object Removal: Erase Anything from Photos with AI vs Other Methods
| Feature | Luxoret AI | Manual / Traditional | Other Tools |
|---|---|---|---|
| Cost per Use | $0.02 | $50-$200+ per project | $0.15-$0.30 per image |
| Speed | Results in seconds | Hours with Photoshop | Minutes per image |
| Skill Required | None — fully automated | Professional editing skills | Some learning curve |
| Quality | AI-powered, photorealistic | Depends on editor skill | Template-based, limited |
| Accessibility | Browser-based, any device | Desktop software required | App or desktop required |
| Revisions | Unlimited instant retries | Time-consuming redo | Limited by credits |
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