---
license: apache-2.0
library_name: onnxruntime-web
pipeline_tag: image-segmentation
tags:
  - background-removal
  - isnet
  - onnx
  - webgpu
  - wasm
  - browser
---

# ISNet (int8) for browser background removal

ISNet segmentation model quantized to int8 (44 MB), exported to ONNX and split
into three parts (`isnet-w8.part00–02`) so every file stays under GitHub's size
limit. Reassemble in the browser with `new Blob(parts)` and load with
[ONNX Runtime Web](https://onnxruntime.ai/docs/tutorials/web/), WASM or WebGPU.

Input 1024×1024 RGB, output single-channel alpha matte.

## Where it runs

- Live demo (WASM vs WebGPU benchmark): [Space](https://huggingface.co/spaces/chenjindu/browser-remove-background)
- Production tool, free, no upload: **[https://is.tools/remove-background](https://is.tools/remove-background)**
- Source: [github.com/chenjindu/browser-remove-background](https://github.com/chenjindu/browser-remove-background)

Part of [**is.tools**](https://is.tools) — browser-side PDF, image, text and
encoding tools where the file never leaves your device.

## License

Apache-2.0 (model weights and code).