This application uses state-of-the-art source separation models to remove vocals from audio files. UVR's core developers trained all of the models provided in this package (except for the Demucs v3 and v4 4-stem models).

• Core Developers

  • Anjok07
  • aufr33

• Support the Project

  • Donate

These bundles contain the UVR interface, Python, PyTorch, and other dependencies needed to run the application effectively. No prerequisites are required.

• Please Note:

  • This installer is intended for those running Windows 10 or higher.
  • Application functionality for systems running Windows 7 or lower is not guaranteed.
  • Application functionality for Intel Pentium & Celeron CPUs systems is not guaranteed.
  • You must install UVR to the main C:\ drive. Installing UVR to a secondary drive will cause instability.

• Download the UVR installer for Windows via the link below:

  • Main Download Link
  • Main Download Link mirror

• If you use an AMD Radeon or Intel Arc graphics card, you can try the OpenCL version:

  • OpenCL Version - Main Download Link

• Update Package instructions for those who have UVR already installed:

  • If you already have UVR installed you can install this package over it or download it straight from the application or click here for the patch.

python.exe -m pip install -r requirements.txt

python.exe -m pip install --upgrade torch --extra-index-url https://download.pytorch.org/whl/cu117

• Please Note:

  • The MacOS Sonoma mouse clicking issue has been fixed.
  • MPS (GPU) acceleration for Mac M1 has been expanded to work with Demucs v4 and all MDX-Net models.
  • This bundle is intended for those running macOS Big Sur and above.
  • Application functionality for systems running macOS Catalina or lower is not guaranteed.
  • Application functionality for older or budget Mac systems is not guaranteed.
  • Once everything is installed, the application may take up to 5-10 minutes to start for the first time (depending on your Macbook).

• Download the UVR dmg for MacOS via one of the links below:

  • Mac M1 (arm64) users:

    • Main Download Link
    • Main Download Link mirror

  • Mac Intel (x86_64) users:

    • Main Download Link
    • Main Download Link mirror

pip3 install -r requirements.txt

cp /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/_soundfile_data/libsndfile_arm64.dylib /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/_soundfile_data/libsndfile.dylib

sudo apt update && sudo apt upgrade
sudo apt-get update
sudo apt install ffmpeg
sudo apt install python3-pip
sudo apt-get -y install python3-tk
pip3 install -r requirements.txt
python3 UVR.py

sudo pacman -Syu
sudo pacman -Sy
sudo pacman -S python-pip
sudo pacman -S --noconfirm tk
sudo pacman -S ffmpeg

sudo rm /usr/lib/python3.11/EXTERNALLY-MANAGED

chmod +x install_packages.sh
./install_packages.sh
python UVR.py

• Nvidia RTX 1060 6GB is the minimum requirement for GPU conversions.
• Nvidia GPUs with at least 8GBs of V-RAM are recommended.
• AMD Radeon GPU supported is limited at this time.
  • There is currently a working branch for AMD GPU users here
• This application is only compatible with 64-bit platforms.
• This application relies on the Rubber Band library for the Time-Stretch and Pitch-Shift options.
• This application relies on FFmpeg to process non-wav audio files.
• The application will automatically remember your settings when closed.
• Conversion times will significantly depend on your hardware.
• These models are computationally intensive.

• Model load times are faster.
• Importing/exporting audio files is faster.

• If FFmpeg is not installed, the application will throw an error if the user attempts to convert a non-WAV file.
• Memory allocation errors can usually be resolved by lowering the "Segment" or "Window" sizes.

There's a known issue on MacOS Sonoma where left-clicks aren't registering correctly within the app. This was impacting all applications built with Tkinter on Sonoma and has since been resolved. Please download the latest version via the following link if you are still experiencing issues - link

This issue was being tracked here.

Please be as detailed as possible when posting a new issue.

If possible, click the "Settings Button" to the left of the "Start Processing" button and click the "Error Log" button for detailed error information that can be provided to us.

The Ultimate Vocal Remover GUI code is MIT-licensed.

• Please Note: For all third-party application developers who wish to use our models, please honor the MIT license by providing credit to UVR and its developers.

• ZFTurbo - Created & trained the weights for the new MDX23C models.
• DilanBoskan - Your contributions at the start of this project were essential to the success of UVR. Thank you!
• Bas Curtiz - Designed the official UVR logo, icon, banner, and splash screen.
• tsurumeso - Developed the original VR Architecture code.
• Kuielab & Woosung Choi - Developed the original MDX-Net AI code.
• Adefossez & Demucs - Developed the original Demucs AI code.
• KimberleyJSN - Advised and aided the implementation of the training scripts for MDX-Net and Demucs. Thank you!
• Hv - Helped implement chunks into the MDX-Net AI code. Thank you!

• For anyone interested in the ongoing development of Ultimate Vocal Remover GUI, please send us a pull request, and we will review it.
• This project is 100% open-source and free for anyone to use and modify as they wish.
• We only maintain the development and support for the Ultimate Vocal Remover GUI and the models provided.

• [1] Takahashi et al., "Multi-scale Multi-band DenseNets for Audio Source Separation", https://arxiv.org/pdf/1706.09588.pdf