Is my image uploaded to a server?

No. All processing happens in your browser using the HTML5 Canvas API. Your image data never leaves your device.

What kind of backgrounds does this work best on?

The tool works best on solid-colour backgrounds (white studio, blue screen), uniform gradients, and clean studio backdrops. It does not use AI/ML detection, so complex backgrounds with similar colours to the foreground may not be fully removed.

How does the background removal algorithm work?

The algorithm samples reference colours from the corners and edge midpoints of the image, then performs a flood-fill from those seed points. Any pixel within the tolerance distance from the reference colours is made transparent. A soft-edge feathering pass blends the boundary.

What does the tolerance slider control?

Tolerance is a colour distance threshold. Low tolerance (5–20%) only removes pixels very close to the sampled background colour, preserving fine edges. High tolerance (60–90%) removes a wider range of colours, useful for noisy or textured backgrounds but may remove parts of the subject.

What output format is used?

Output is always PNG, which supports transparency (alpha channel). JPEG does not support transparency, so PNG is the only suitable format for images with transparent backgrounds.

Why do hair or fine edges look rough?

Fine detail like hair, fur, and feathers is challenging for flood-fill based algorithms without AI assistance. For professional results with complex subjects, consider AI-based tools. This tool applies soft edge feathering to reduce harshness.

Can I use this on product photography?

Yes, product photos on clean white or coloured studio backgrounds are an ideal use case. Adjust the tolerance if the product colour is similar to the background.

Can I re-process the same image with different tolerance?

Yes. Change the tolerance slider and click Remove Background again. The tool always processes the original uploaded image, not the previously processed result.

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Remove Background

Drop an image here or click to browse

JPG, PNG, WebP, BMP supported

AI Processing Details

Uses a local AI model for professional-quality edge detection and segmentation.

First run requires downloading a 40MB model file to your browser cache.

All processing runs strictly in your browser (no image data leaves your device).

Client-side background removal

Background removal is one of the most common image editing tasks for e-commerce, design, and content creation. Most online tools upload your images to a cloud server for AI processing, raising privacy concerns and adding latency.

This tool runs entirely in your browser using a flood-fill algorithm that samples background colours from the image edges, then erases matching pixels with soft edge feathering. It works best on images with clean, uniform backgrounds: studio product shots, headshots on solid backdrops, and similar images. For complex backgrounds with detailed subjects, AI-based tools will produce better results.

Step-by-step guide

1
Upload your image
Drag and drop or click to browse. JPG, PNG, WebP, and BMP are supported.
2
Adjust tolerance
Use the tolerance slider (5–90%). Lower values remove less, preserving detail. Higher values remove more aggressively, useful for noisy or gradient backgrounds.
3
Click Remove Background
The tool uses an edge-flood-fill algorithm starting from the image corners and edges to detect and erase the background colour.
4
Compare original and result
Use the 'Show original' toggle to compare the input and output. A checkered pattern behind the result indicates transparency.
5
Download the transparent PNG
Click Download PNG to save the result with a transparent background. The filename includes -no-bg to distinguish it from the original.

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Frequently Asked Questions

Is my image uploaded to a server?: No. All processing happens in your browser using the HTML5 Canvas API. Your image data never leaves your device.
What kind of backgrounds does this work best on?: The tool works best on solid-colour backgrounds (white studio, blue screen), uniform gradients, and clean studio backdrops. It does not use AI/ML detection, so complex backgrounds with similar colours to the foreground may not be fully removed.
How does the background removal algorithm work?: The algorithm samples reference colours from the corners and edge midpoints of the image, then performs a flood-fill from those seed points. Any pixel within the tolerance distance from the reference colours is made transparent. A soft-edge feathering pass blends the boundary.
What does the tolerance slider control?: Tolerance is a colour distance threshold. Low tolerance (5–20%) only removes pixels very close to the sampled background colour, preserving fine edges. High tolerance (60–90%) removes a wider range of colours, useful for noisy or textured backgrounds but may remove parts of the subject.
What output format is used?: Output is always PNG, which supports transparency (alpha channel). JPEG does not support transparency, so PNG is the only suitable format for images with transparent backgrounds.
Why do hair or fine edges look rough?: Fine detail like hair, fur, and feathers is challenging for flood-fill based algorithms without AI assistance. For professional results with complex subjects, consider AI-based tools. This tool applies soft edge feathering to reduce harshness.
Can I use this on product photography?: Yes, product photos on clean white or coloured studio backgrounds are an ideal use case. Adjust the tolerance if the product colour is similar to the background.
Can I re-process the same image with different tolerance?: Yes. Change the tolerance slider and click Remove Background again. The tool always processes the original uploaded image, not the previously processed result.

AlteredIdea vs alternatives

vs server-side tools: Everything runs in your browser: your data never leaves your device.