Remove Objects from Photos Online (AI LaMa)
Professional online inpainting: remove people, wires, spots, trash, or signs from photos. The LaMa neural network (Large Mask Inpainting) fills the mask with natural background, no Photoshop or complex retouching needed.
Drag a photo here or click Open
Choose a preset, paint over what you want gone, then click Remove. LaMa neural network is used by default.
Wheel - zoom · Hand - pan · B / E / H - tools
Instructions
- Upload a PNG, JPEG, or WebP (approximately up to ~20 MB).
- Choose a scenario: General, People, Wires, or Spots, brush size and mask dilation radius are set automatically.
- Use the red brush to completely paint over the object (better with a small margin beyond the contour). Eraser and "Undo" / "Redo", up to 20 steps.
- The default method is LaMa (high-quality AI filling). For small quick fixes, OpenCV Telea and Navier-Stokes are available.
- Click "Remove", wait for the result, and save as PNG. If needed, repeat for other details on the same frame.
Повний опис
What is object removal with AI LaMa
A classic editor requires a clone stamp, manual retouching, and hours of work. Here you just need a brush mask: you mark what to remove, and the LaMa model (Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022) analyzes the surrounding context and synthesizes a plausible background texture, sky, wall, asphalt, grass, fabric.
LaMa handles large masks and repetitive structures (fences, tiles, facades) well. On filltools.com the pipeline is: soft mask dilation → inference → soft blending with the original so edges don't look "cut out".
How the tool helps
- Travel and architecture. Remove tourists near a landmark, keep the building or landscape in focus.
- Real estate and exteriors. Wires, antennas, trash bins, random cars in the foreground.
- Product and catalog photos. Dust, lint, price tags, extra fasteners in the background.
- Portraits and interiors. Outlets, cables, objects that "grow" out of the model's head.
- Restoration of minor defects. Spots, sensor dust dots, small scratches.
Scenarios (brush presets)
- General, a balance for most medium-sized objects.
- People, wider brush and larger radius: convenient for covering a figure entirely; better to remove one person per pass.
- Wires, thin brush along the line; go slightly onto the sky or facade so the mask "eats" the halo.
- Spots, small brush only on the defect: less risk of blurring the correct texture around it.
Presets don't lock the manual sliders, after choosing a scenario you can adjust size and radius.
LaMa vs OpenCV
LaMa is the main mode for complex backgrounds, large objects, and situations where naturalness matters. Telea / Navier-Stokes is classic fast inpaint: sometimes it wins on tiny defects when you need an instant fix without AI.
Step-by-step usage
- Open or drag a photo into the workspace (very large frames are automatically downscaled for stable processing).
- Choose a scenario and the "Brush" tool. Paint over the object in solid red, without "holes" in the mask.
- Check the edges with the eraser. Enable LaMa (default) and click "Remove".
- Evaluate the result. If the edge is sharp, slightly expand the mask and repeat. If the texture "smears", reduce the mask or try OpenCV on a small spot.
- Save as PNG. For the next object, start with a new stroke on the already cleaned frame.
Tips for maximum quality
- The mask must fully cover the object; a thin unpainted edge often leaves a contour "ghost".
- Several short passes are better than one giant mask covering half the frame.
- On leaves, water, mesh, paint slightly wider, the model needs more context of the periodic texture.
- Don't mask extra sky or wall "just in case": too large a hole forces the network to invent structure with less accuracy.
- Zoom and the "Hand" tool help draw a thin wire precisely; hotkeys B / E / H switch between brush, eraser, and panning.
Privacy
You draw the mask in the browser. Inpainting is performed on the filltools.com server to process the request; the file is not published as a gallery and is not stored for showing to other users after completion.
Frequently asked questions
Why the People / Wires / Stains presets?
What is LaMa and why is it better than the eraser?
Which method should I choose: LaMa or OpenCV?
Which formats are supported?
Where is the image processed?
Why is a large photo downsized?
What should I do if the edge looks artificial?
Reviews (0)
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