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).
These bundles contain the UVR interface, Python, PyTorch, and other dependencies needed to run the application effectively. No prerequisites are required.
- 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](https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v5.6/UVR_Patch_9_26_23_21_48.exe).
If you do not have FFmpeg or Rubber Band installed and want to avoid going through the process of installing them the long way, follow the instructions below.
**FFmpeg Installation**
- Download the precompiled build [here](https://www.gyan.dev/ffmpeg/builds/ffmpeg-release-essentials.zip)
- From the archive, extract the following file to the UVR application directory:
<summary>MacOS Users: Having Trouble Opening UVR?</summary>
> Due to Apples strict application security, you may need to follow these steps to open UVR.
>
> First, run the following command via Terminal.app to allow applications to run from all sources (it's recommended that you re-enable this once UVR opens properly.)
>
> ```bash
> sudo spctl --master-disable
> ```
>
> Second, run the following command to bypass Notarization:
- Once everything is done installing, download the correct FFmpeg binary for your system [here](http://www.osxexperts.net) and place it into the main application directory.
- 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.
## License
The **Ultimate Vocal Remover GUI** code is [MIT-licensed](LICENSE).
- **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](https://github.com/DilanBoskan) - Your contributions at the start of this project were essential to the success of UVR. Thank you!
- [Bas Curtiz](https://www.youtube.com/user/bascurtiz) - Designed the official UVR logo, icon, banner, and splash screen.
- [tsurumeso](https://github.com/tsurumeso) - Developed the original VR Architecture code.
- [Kuielab & Woosung Choi](https://github.com/kuielab) - Developed the original MDX-Net AI code.
- [Adefossez & Demucs](https://github.com/facebookresearch/demucs) - Developed the original Demucs AI code.
- [KimberleyJSN](https://github.com/KimberleyJensen) - Advised and aided the implementation of the training scripts for MDX-Net and Demucs. Thank you!
- [Hv](https://github.com/NaJeongMo/Colab-for-MDX_B) - Helped implement chunks into the MDX-Net AI code. Thank you!
## Contributing
- 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.
## References
- [1] Takahashi et al., "Multi-scale Multi-band DenseNets for Audio Source Separation", https://arxiv.org/pdf/1706.09588.pdf
