One-click background removal separates foreground from background and turns background pixels transparent.
Modern background removal tools use segmentation models. The model predicts how likely each pixel is to belong to the foreground, then creates an alpha mask for transparency.
Local Model Workflow
- The browser reads and decodes the image.
- The model predicts the foreground area locally.
- An alpha mask is generated.
- Background pixels are made transparent.
- The result is exported as a transparent PNG.
Which Images Work Best?
| Image type | Expected result | Tip |
|---|---|---|
| Portraits, products, pets, single subjects | Good | Clear subject edges help |
| Plain or simple background | Good | Foreground is easier to separate |
| Hair, transparent objects, complex shadows | Medium | Edges may need cleanup |
| Subject and background have similar colors | Harder | Use a higher-resolution source |