What this tool does
Background removal separates the main subject of an image from the pixels that form the background.
This project runs entirely in the browser.
Local processing stages
The implementation uses IMG.LY's IS-Net neural segmentation engine through ONNX Runtime.
The model runs on the user's device with automatic GPU and CPU support.
Load
Read the selected file directly in the browser.
Segment
Run the neural model locally to identify the foreground subject.
Mask
Convert the model output into a detailed alpha mask.
Export
Apply the mask and export a transparent PNG.
How to use this interface
The workflow is intentionally direct so the tool stays usable on desktop and mobile.
- Drop an image or click to choose a file.
- Select Remove background to load the AI model and start local processing.
- Review the transparent preview.
- Download the generated PNG.
The best results come from images with a clear foreground subject.
Implementation notes
The image stays on the user's device while the engine runtime and neural model are downloaded and cached locally.
Neural segmentation handles complex scenes well, although fine hair, transparent objects, and motion blur can still produce imperfect edges.