BROWSER-LOCAL AI • NO API KEY

Image Background Remover

Remove the background from an image and create a clean transparent cutout with PixelErase AI. The BiRefNet Lite ONNX model runs in your browser so image inference can stay on your device.

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Drop your image here, or browse

Supports JPG, PNG & WebP up to 100MB

or press Ctrl + V
Original Image
Original image before background removal
Transparent Result
Transparent image background removal result
Ready — choose an image to begin.

See how browser-local background removal works →

Image Background Removal

Remove the background from an image in your browser

A focused background remover for people who want a simple workflow without sending an image to a remote image-processing API.

PixelErase AI is built around a browser-local image background remover powered by BiRefNet Lite and ONNX Runtime Web. After you choose an image, the browser prepares the pixels, runs the segmentation model on the available execution backend, and builds a transparent result for download.

This makes the tool useful for product photos, profile pictures, social media graphics, marketplace images, presentations, thumbnails, and design projects where a clean subject cutout is needed. Supported input formats include JPG, PNG, and WebP.

Read the background remover guide, removing a background from PNG images and removing a background from JPG photos

Why Browser-Local AI

Designed to keep image processing on the device

The page still needs a server to deliver the application and model files, but the image inference is performed in the browser.

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Browser-Local Inference

BiRefNet Lite runs through ONNX Runtime Web in the browser rather than using a remote background-removal API for the AI step.

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Transparent PNG Workflow

Review the cutout against a checkerboard transparency preview, then download the processed image in a supported format.

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Simple Desktop Workflow

Upload, remove the background, review the result, and download without managing an API key for the browser-local workflow.

Use Cases

What can you use an image background remover for?

Background removal is useful anywhere you need the main subject separated from a busy, plain, or distracting background.

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Product Photos

Create clean subject cutouts for product listings, catalogs, store graphics, and promotional layouts.

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Profile & Social Images

Separate a person or object from the original scene for profile graphics, social posts, thumbnails, and banners.

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Design Projects

Bring a transparent subject into presentations, flyers, website designs, and other creative layouts.

How It Works

How to remove a background from an image

The browser-local workflow stays simple from upload to download.

1

Choose an image

Select a JPG, PNG, or WebP image, drag it into the uploader, or paste an image from your clipboard.

2

Run BiRefNet Lite

The browser prepares a 512×512 input and runs the lightweight BiRefNet Lite ONNX model on the available browser execution backend.

3

Review and download

Check the transparent preview, choose a download format, and save the processed image to your device.

For more detailed guidance, visit the complete background removal guide.

Before & After

See a background removal example

The example below shows how a subject can be separated from its original scene and prepared as a transparent cutout.

Before
Example image before background removal
After
Example transparent cutout after background removal

The checkerboard pattern represents transparent pixels. Always review fine edges such as hair, thin objects, and similar-colored boundaries before using an output in important work.

FAQ

Frequently asked questions

Common questions about browser-local background removal with PixelErase AI.

Does PixelErase AI upload my image to the server?

For the browser-local BiRefNet Lite remover, image inference runs in your browser. The image is not sent to a remote background-removal API for processing.

Which image formats are supported?

The tool accepts JPG, PNG, and WebP images. You can choose a supported download format after processing.

Is BiRefNet Lite running locally?

Yes. The BiRefNet Lite ONNX model is loaded by the browser and inference is performed locally using the browser execution backend selected by ONNX Runtime Web.

Do I need an API key?

No API key is required for the browser-local background-removal workflow.

Why can processing take time on some computers?

Processing speed depends on your browser, CPU, available browser GPU support, image dimensions, model loading time, and the execution backend used by ONNX Runtime Web.

Does browser-local processing mean the server does nothing?

No. The server still delivers the webpage, JavaScript, and ONNX model file. The image inference itself is performed in the browser, which is designed to reduce server-side image-processing load.

Read the background remover guide, removing a background from PNG images and removing a background from JPG photos

Ready to remove an image background?

Upload a JPG, PNG, or WebP image and create a clean transparent result with PixelErase AI.