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Remove backgrounds from images using color-based detection
Background Remover
ImageRemove backgrounds from images using color-based detection. Auto-detect or pick a color to remove. Export as PNG or WebP.
How background removal works
This tool removes image backgrounds by detecting and making transparent all pixels that match the background color within a configurable tolerance. In auto mode, it samples pixels from the image edges (corners and borders) to determine the dominant background color, then removes matching pixels across the entire image. In color-pick mode, you click directly on the color you want to remove. Soft edge blending ensures smooth transitions between the subject and transparent areas.
Auto detection vs color picking
Auto detection works best when the background is a solid or near-solid color and the subject does not share that color (e.g., a product photo on a white background). Color picking gives you precise control — click on any pixel in the image to select the exact color to remove. This is useful for images with non-uniform backgrounds, colored backdrops, or when auto detection picks the wrong color. Adjust the tolerance slider to control how aggressively similar colors are removed.
Tips for best results
Start with auto detection and a tolerance of 30. If too much of the subject is removed, lower the tolerance. If background artifacts remain, increase it. For images with complex backgrounds (gradients, patterns, outdoor scenes), color-pick mode with a lower tolerance works better. Images with high contrast between subject and background produce the cleanest results. Export as PNG to preserve transparency, or WebP for smaller file sizes with transparency support.
Frequently Asked Questions
Is my image processed on a server?
No. All processing happens entirely in your browser using the HTML Canvas API. Your images never leave your device. This makes the tool safe for sensitive or proprietary images.
Does this use AI?
No. This tool uses color-based detection, not AI or machine learning. It identifies and removes pixels matching the background color within a tolerance range. For complex scenes with varied backgrounds, AI-based tools may produce better results, but this tool works instantly with no external dependencies.
Why is the result not perfect?
Color-based removal works best with solid or near-solid backgrounds. If the subject contains colors similar to the background, those areas may become partially transparent. Adjust the tolerance slider and try color-pick mode for better control. Hair, fur, and semi-transparent elements are inherently difficult for color-based methods.
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