Mindket

Ultimate Vocal Remover WebUI

Newversion 1 · updated

Overview

A Gradio web page version of the Ultimate Vocal Remover project, for pulling vocals apart from the music in a track. Runs in your browser or on your own computer.

Ultimate Vocal Remover WebUI is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python on Windows, macOS or Linux
  • The pip command
  • The system packages listed in packages.txt, which Hugging Face installs with apt-get
  • Room on disk for the models folder
Runs in
  • A web browser, on the Space's page at Hugging Face
  • A local copy on Windows, macOS or Linux, running Python
  • Hugging Face's cpu-basic hardware, where the online Space runs
Start with
pip install -U huggingface_hub
hf download Rifd/Ultimate-Vocal-Remover-WebUI --repo-type space --local-dir Ultimate-Vocal-Remover-WebUI
cd Ultimate-Vocal-Remover-WebUI

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

This Space is a Gradio web interface for the Ultimate Vocal Remover project. By its name it separates the voice from the instruments in a music track, and you open it in a browser instead of installing a desktop program.

The repository is large, with 228 files. It includes UVR.py, a demucs folder, a lib_v5 folder, a models folder and a webUI.py file. The README holds only a configuration pointer.

Who it suits

It suits people who want to separate vocals from music, such as hobby musicians and video makers, and developers who want to read how a separation tool is wrapped in a web interface.

IndustryWho uses itHow they use itExample
MusicHobby musiciansSplit a track into its vocal and the restMaking a practice track without the singer
Video and podcastsVideo editorsPull the voice out of a clip with music under itCleaning up a spoken part
EducationMusic studentsHear the parts of a song on their ownStudying how a vocal line sits in a mix
AI developmentDevelopersRead app.py, webUI.py and separate.pyLearning how a separation tool gets a web interface

Skip it if you need a polished, supported product, since this is a community web interface.

Where to use it

The app runs in these places.

  • A web browser, on the Space's page at Hugging Face
  • A local copy on Windows, macOS or Linux, running Python
  • Hugging Face's cpu-basic hardware, where the online Space runs
Use caseWhoWhat they get back
Separate a vocal from a trackMusiciansThe voice and the music as separate audio
Clean up a recordingEditorsA version with the voice or the music pulled out
Study the toolDevelopersA repository with the separation code and models folder

How to set it up

Online you only need a browser. A local copy needs these.

  • Python on Windows, macOS or Linux
  • The pip command
  • The system packages listed in packages.txt, which Hugging Face installs with apt-get
  • Room on disk for the models folder
  1. Install the huggingface_hub package.
  2. Download the Space's files into a folder with the hf command.
  3. Move into that folder.
  4. Install gradio at version 3.44.2.
  5. Install the packages listed in requirements.txt.
  6. Start the app with python app.py.
pip install -U huggingface_hub
hf download Rifd/Ultimate-Vocal-Remover-WebUI --repo-type space --local-dir Ultimate-Vocal-Remover-WebUI
cd Ultimate-Vocal-Remover-WebUI
pip install gradio==3.44.2
pip install -r requirements.txt
python app.py

How to use it

Open the Space's page, or run the command below in your copy and open the page the app serves. Then add an audio file, pick a model and run it.

python app.py

Example

You open the Space, add a song you have the right to use and run the separation. The page returns the vocal and the music as separate audio.

For newcomers and experts

If you are new, open the Space's page and try a short clip first. A short file finishes sooner on cpu-basic hardware.

If you know the field, the repository carries the UVR code, the demucs folder and a lib_v5 folder, with a Gradio 3.44.2 front end in app.py and webUI.py. It runs on cpu-basic hardware at Hugging Face, so long tracks take time.

  1. Open the Space page or run app.py
  2. Add an audio file and pick a model
  3. The separation code splits the audio
  4. You get the separated audio back

Good to know

The source gives only names and files, so check the Space's page for the controls it offers before relying on it.

  • License: MIT
  • Cost to run: none named
  • Data it reaches: the audio files you give it. The source says nothing else.

README and files

README

Ultimate Vocal Remover WebUI

A Gradio web page version of the Ultimate Vocal Remover project, for pulling vocals apart from the music in a track. Runs in your browser or on your own computer.

Made by Rifd on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This Space is a Gradio web interface for the Ultimate Vocal Remover project. By its name it separates the voice from the instruments in a music track, and you open it in a browser instead of installing a desktop program.

The repository is large, with 228 files. It includes UVR.py, a demucs folder, a lib_v5 folder, a models folder and a webUI.py file. The README holds only a configuration pointer.

Who it suits: It suits people who want to separate vocals from music, such as hobby musicians and video makers, and developers who want to read how a separation tool is wrapped in a web interface.

Industry | Who uses it | How they use it | Example
Music | Hobby musicians | Split a track into its vocal and the rest | Making a practice track without the singer
Video and podcasts | Video editors | Pull the voice out of a clip with music under it | Cleaning up a spoken part
Education | Music students | Hear the parts of a song on their own | Studying how a vocal line sits in a mix
AI development | Developers | Read app.py, webUI.py and separate.py | Learning how a separation tool gets a web interface

Skip it if you need a polished, supported product, since this is a community web interface.

Where to use it: The app runs in these places.

  • A web browser, on the Space's page at Hugging Face
  • A local copy on Windows, macOS or Linux, running Python
  • Hugging Face's cpu-basic hardware, where the online Space runs
Use case | Who | What they get back
Separate a vocal from a track | Musicians | The voice and the music as separate audio
Clean up a recording | Editors | A version with the voice or the music pulled out
Study the tool | Developers | A repository with the separation code and models folder

How to set it up: Online you only need a browser. A local copy needs these.

  • Python on Windows, macOS or Linux
  • The pip command
  • The system packages listed in packages.txt, which Hugging Face installs with apt-get
  • Room on disk for the models folder
  1. Install the huggingface_hub package.
  2. Download the Space's files into a folder with the hf command.
  3. Move into that folder.
  4. Install gradio at version 3.44.2.
  5. Install the packages listed in requirements.txt.
  6. Start the app with python app.py.
pip install -U huggingface_hub
hf download Rifd/Ultimate-Vocal-Remover-WebUI --repo-type space --local-dir Ultimate-Vocal-Remover-WebUI
cd Ultimate-Vocal-Remover-WebUI
pip install gradio==3.44.2
pip install -r requirements.txt
python app.py

How to use it: Open the Space's page, or run the command below in your copy and open the page the app serves. Then add an audio file, pick a model and run it.

python app.py

Example: You open the Space, add a song you have the right to use and run the separation. The page returns the vocal and the music as separate audio.

For newcomers and experts: If you are new, open the Space's page and try a short clip first. A short file finishes sooner on cpu-basic hardware.

If you know the field, the repository carries the UVR code, the demucs folder and a lib_v5 folder, with a Gradio 3.44.2 front end in app.py and webUI.py. It runs on cpu-basic hardware at Hugging Face, so long tracks take time.

Open the Space page or run app.py
Add an audio file and pick a model
The separation code splits the audio
You get the separated audio back

Good to know: The source gives only names and files, so check the Space's page for the controls it offers before relying on it.

  • License: MIT
  • Cost to run: none named
  • Data it reaches: the audio files you give it. The source says nothing else.

On Hugging Face, 13 November 2026

  • Likes: 6
  • Built with: gradio
  • License: mit

Links

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
Ultimate Vocal Remover WebUI This page6gradiomit
MusicGenShares gradio5,116gradiocc-by-nc-4.0
Kokoro TTSShares gradio3,556gradioapache-2.0
Background RemovalShares gradio2,988gradiomit
Omni Image EditorShares gradio2,922gradiomit
Diffusers Image OutpaintShares gradio2,565gradioapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

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