OBS AI Matting
OBS AI Matting is a free, open-source OBS Studio filter for removing, blurring, or replacing webcam backgrounds in real time on Linux.
What OBS AI Matting is
OBS AI Matting is a free, open-source OBS Studio filter for removing, blurring, or replacing webcam backgrounds in real time on Linux. It runs Robust Video Matting through ONNX Runtime and CUDA to produce soft edges and temporally stable cutouts. Transparent mode places an OBS image, video, or color source behind the camera, while a built-in mode blurs the background. Auto light match adjusts subject exposure and white balance to follow a selected OBS background source or scene. Controls include blur strength, brightness, gamma, matte hardness, and quality settings of 384, 512, or 720. The interface supports English and Spanish and follows OBS language settings. Requirements include OBS Studio 28 or later, ONNX Runtime with CUDA, an NVIDIA CUDA and cuDNN GPU, CMake, and a C++17 compiler. The roughly 107 MB RVM model is required separately; CPU fallback is available when CUDA fails.
Good
- Removes, blurs, or replaces backgrounds
- Transparent mode supports OBS media sources
- Auto light match follows selected scenes
- Adjustable quality and matte controls
- English and Spanish interface
Watch out
- Linux-only OBS filter
- RVM model downloaded separately
- Requires OBS Studio 28 or later
- Manual installs need rebuilding after ONNX upgrades
Who it suits
OBS AI Matting suits Linux OBS users who need real-time webcam background replacement or blur. It is aimed at setups with compatible NVIDIA CUDA hardware, though CPU fallback exists.
Verdict
OBS AI Matting adds configurable real-time background effects to OBS on Linux. Users should account for the separate model download and listed CUDA, OBS, and build requirements.
Plans and prices
From OBS AI Matting's own pricing page, checked 8 Oct 2001.
| Plan | Price | What it gives you |
|---|---|---|
| Free, open-source | Free | OBS Studio filter for Linux; RVM model must be downloaded separately |
The facts
Each one read from OBS AI Matting's own pages, with the date it was checked.
What it does
- Auto light match
- Auto light match adjusts the subject’s exposure and white balance to follow a selected OBS background source or scene.checked 8 Oct 2001
- Background modes
- Transparent mode supports OBS image, video, or color sources behind the camera, and a built-in mode blurs the background.checked 8 Oct 2001
- Compatibility caveat
- The README says manual installations must be rebuilt after ONNX Runtime upgrades or the filter may stop loading in OBS.checked 8 Oct 2001
- Controls
- Per-filter controls include blur strength, brightness and gamma, matte hardness, and quality settings of 384, 512, or 720.checked 8 Oct 2001
- CPU fallback
- If CUDA is unavailable or fails to initialize, the filter falls back to CPU; the project recommends a GPU for real-time use.checked 8 Oct 2001
- Installation
- The README recommends installation through its Arch Linux package and also documents a manual CMake build and install.checked 8 Oct 2001
- Licensing
- The plugin is released under GPL-2.0, while the separately downloaded RVM model is GPL-3.0.checked 8 Oct 2001
- Localization
- The interface is available in English and Spanish and follows the OBS language automatically.checked 8 Oct 2001
- Matting model
- It runs Robust Video Matting through ONNX Runtime and CUDA to produce soft edges and temporally stable cutouts.checked 8 Oct 2001
- Model download
- The roughly 107 MB RVM model is required but not bundled and must be downloaded separately.checked 8 Oct 2001
- Purpose
- The open-source OBS Studio filter removes, blurs, or replaces webcam backgrounds in real time using AI video matting on the GPU.checked 8 Oct 2001
- Requirements
- The project lists OBS Studio 28 or later, ONNX Runtime with CUDA, an NVIDIA GPU with CUDA and cuDNN, CMake, and a C++17 compiler as requirements.checked 8 Oct 2001
- Support and contributions
- The maintainer welcomes issues, feature requests, and pull requests through the project repository.checked 8 Oct 2001
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