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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.

Place
#21 of 23
Score
5.7
OBS AI Matting's website

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.

All about pricing
PlanPriceWhat it gives you
Free, open-sourceFreeOBS 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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