Image Object Matting

Eliminate

Model Overview

Image Object Matting is designed for old, scanned, or damaged images, using a context-aware algorithm to eliminate surface damage, dust, scratches and obstructions while seamlessly blending reconstructed areas into the surrounding image.

Key Capabilities

  • Removes scratches, dust, surface damage, and unwanted objects using generative reconstruction

  • Supports both automatic and brush-based workflows for flexible cleanup

  • Seamlessly blends repaired areas to preserve natural image structure

Model Pricing

Output MP

1
4
8
16
24
32
40
50
64
100

Credits

1
1
1
1
1
2
2
3
3
5

Getting Started

Endpoint

chevron-rightEndpoint-Specific Parametershashtag

mode — Alpha or segmentation, defaults to segmentation

  • Alpha provides the binary mask of the object

  • Segmentation provides the cropped object as an RGBA output

Any parameters that are not explicitly provided are configured to our default values. Extra parameters provided that are not supported are ignored.

Model-Specific Parameters

  • No Parameters

circle-info

For the highest-quality outputs, we recommend sending images with a single, main object in the foreground.

Examples

Last updated