RMBG

What RMBG is

RMBG is an image background removal application available on the web and for Windows, Linux, and macOS, with API access also listed. It uses open-source AI models to separate subjects from backgrounds, and users can choose among supported matting models to suit different images. Documented options include U2-Net, U2-Netp, U2-Net Human Segmentation, U2-Net Cloth Segmentation, Silueta, Isnet General Use, and BRIAAI RMBG. The app also supports batch processing and replacement backgrounds.

RMBG says image processing happens locally rather than uploading images to servers, which its maker says helps keep them private from potential leaks. The project describes the application as open source and free; its GitHub page identifies the license as MIT. The web tool accepts up to 20 images at a time, each no larger than 5 MB. The download section links to web and desktop versions, while Stack Overflow and GitHub Discussions are available for community support. The Free plan is listed at 0.00 USD.

Who it suits

RMBG suits people who need to remove backgrounds from images across web or desktop workflows, including batch jobs and API use. Its model choices and local-processing approach may appeal to users who want control over matting options and prefer not to upload images to servers.

Limits

The Free plan is listed at 0.00 USD. The web tool accepts up to 20 images at a time, with a maximum size of 5 MB per image.

Getting started

1. Open https://rmbg.fun/.
2. Choose the web version or a desktop build for Windows, Linux, or macOS.
3. For the web tool, select up to 20 images, each no larger than 5 MB.
4. Choose a supported matting model and use the available background-removal options.
5. For API use, start from the listed API platform.

Verdict

Choose RMBG if you want a free background remover with model selection, batch processing, and local image handling. The web tool accepts up to 20 images, each no larger than 5 MB; desktop builds are also linked for Windows, Linux, and macOS.