Feyn Launches MultiMatte, an Open-Source Text-Prompted Background Removal Model

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AI startup Feyn has released MultiMatte, an open-source background removal model that lets users specify via text prompts exactly which objects to keep in an image. Unlike conventional tools that retain all foreground elements, MultiMatte isolates only the named subject and removes everything else. The model is built on Meta's SAM 3 and uses alpha mattes instead of binary masks, enabling more accurate handling of edges like hair, fur, and motion blur. In benchmark tests, MultiMatte outperformed the base SAM 3 model significantly, achieving a 34.6% relative gain on the DIS5K dataset. The model is available to try online and can be integrated by developers via Feyn's open-source NoBg library on GitHub.

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