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 helper model).
This installation bundle contains 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.
Additional models and application patches can be downloaded via the "Settings" menu within the application.
Please Note: See the latest release page for more recent updates here
Other Platforms
This application can be run on Mac & Linux by performing a manual install (see the Manual Developer Installation section below for more information). Some features may not be available on non-Windows platforms.
Application Manual
General Options
VR Architecture Options
MDX-Net Options
Demucs v3 Options
Ensemble Options
User Ensemble
Other Application Notes
Nvidia GPUs with at least 8GBs of V-RAM are recommended.
This application is only compatible with 64-bit platforms.
This application relies on Sox - Sound Exchange for Noise Reduction.
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. Please proceed with caution and pay attention to your PC to ensure it doesn't overheat. We are not responsible for any hardware damage.
Change Log
v4 vs. v5
The v5 models significantly outperform the v4 models.
The extraction's aggressiveness can be adjusted using the "Aggression Setting." The default value of 10 is optimal for most tracks.
All v2 and v4 models have been removed.
Ensemble Mode added - This allows the user to get the most robust result from each model.
Stacked models have been entirely removed.
The new aggression setting and model ensembling have replaced the stacked model feature.
The NFFT, HOP_SIZE, and SR values are now set internally.
The MDX-NET AI engine and models have been added.
This is a brand new feature added to the UVR GUI.
4 MDX-Net models are included in this package.
The MDX-Net models provided were trained by the core UVR developers
This network is less resource-intensive but incredibly powerful.
MDX-Net is a Hybrid Waveform/Spectrogram network.
The Demucs v3 AI engine and models have been added.
The ability to separate all 4 stems through Demucs v3.
Troubleshooting
Common Issues
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 "Chunk Size".
Issue Reporting
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.
Manual Installation (For Developers)
These instructions are for those installing UVR v5.2.0 manually only.
Download & install Python 3.9 or lower (but no lower than 3.6) here
Note: Ensure the "Add Python to PATH" box is checked
From here you should be able to open and run the UVR.py file
FFmpeg
FFmpeg must be installed and configured for the application to process any track that isn't a .wav file. You will need to look up instruction on how to configure it on your operating system.
License
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.
Credits
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.