RVC WebUI

Free plan LinuxSelf-hostedWindows

What RVC WebUI is

RVC WebUI is a free, MIT-licensed framework for voice timbre conversion and voice changing. It supports changing recorded audio and real-time conversion, with audio export available. The project says a voice model can be trained from a small amount of data and recommends at least 10 minutes of low-noise speech. Its tools include feature retrieval intended to reduce tone leakage, checkpoint-based model merging, and vocal separation using pymss/MSST models. It also includes the RMVPE high-pitch voice extraction algorithm. For real-time use, the project reports 170 ms end-to-end latency, or 90 ms with ASIO input and output devices, depending on hardware driver support. Setup guidance covers Windows and Ubuntu 24.04 x86_64, with separate CUDA 12.8 and CUDA 11.8 paths for NVIDIA GPUs. Model files must be downloaded from a Hugging Face repository for inference and feature extraction. The documented workflow may not work on GPUs with less than 4 GB of VRAM; CUDA memory errors may require a smaller batch size.

Who it suits

RVC WebUI suits people who want to convert voice timbre in recordings or in real time and can set up local Python and model files. Its documented operating systems are Windows and Ubuntu 24.04 x86_64.

What it does well

Free, MIT-licensed software.
Supports recorded-audio and real-time conversion.
Includes audio export.
Offers checkpoint-based model merging.
Includes vocal separation and pitch extraction tools.

What to know first

Requires local Python and model setup.
GPUs with less than 4 GB VRAM may be unusable.
Windows and Ubuntu 24.04 x86_64 are covered by setup guidance.

Limits

The documented workflow may be unusable on GPUs with less than 4 GB of VRAM. CUDA out-of-memory can require reducing batch size. Setup requires local Python and model files for inference and feature extraction.

Plans

Plan	Billed and limits	Price
RVC WebUI	MIT-licensed open-source software · requires local Python and model setup	Free

As github.com lists them, read 9 Oct 2026. The maker's own page has the final word.

Getting started

Visit the RVC WebUI project website.
Choose the documented Windows or Ubuntu 24.04 x86_64 setup path.
Install the relevant CPU, AMD, Intel, or NVIDIA CUDA dependencies.
Set up local Python and download model files from the Hugging Face model repository.
Launch the desktop interface and use recorded-audio or real-time conversion.

Verdict

RVC WebUI offers voice conversion and related audio tools as free desktop software. Setup requires local dependencies and model files, and GPU limits can affect whether the documented workflow is usable.

Questions

Does RVC WebUI cost anything?

The listed plan is free. The project is MIT-licensed open-source software.

Which operating systems does it support?

The platforms listed are Linux and Windows. The setup guide covers Windows and Ubuntu 24.04 x86_64.

Can it change voices in real time?

Yes. The project reports 170 ms end-to-end latency, or 90 ms with ASIO input and output devices, depending on hardware driver support.

What do I need to set it up?

The documented setup requires local Python, the appropriate system dependencies, and model files from a Hugging Face repository for inference and feature extraction.

What license does it use?

The repository lists RVC WebUI under the MIT license.

Which integrations or components does it document?

The project components and credits include Gradio, FFmpeg, Ultimate Vocal Remover, pymss, and audio-slicer.

Facts from RVC WebUI's own pages

GPU support: The guide lists CPU/AMD/Intel dependencies and separate CUDA 12.8 and CUDA 11.8 installation paths for NVIDIA GPUs. · github.com, 9 Oct 2026
Integrations: The documented project components and credits include Gradio, FFmpeg, Ultimate Vocal Remover, pymss, and audio-slicer. · github.com, 9 Oct 2026
License: The repository lists the project under the MIT license. · github.com, 9 Oct 2026
Model fusion: A checkpoint processing option can merge models to change timbre. · github.com, 9 Oct 2026
Model setup: The guide requires users to download model files from a Hugging Face model repository for inference and feature extraction. · github.com, 9 Oct 2026
Operating systems: The setup guide covers Windows and Ubuntu 24.04 x86_64, and says Linux uses CPU for AMD/Intel systems while Windows may use DirectML. · github.com, 9 Oct 2026
Pitch extraction: The project includes the RMVPE high-pitch voice extraction algorithm and describes it as fast with low resource consumption. · github.com, 9 Oct 2026
Purpose: RVC WebUI is a voice timbre conversion and voice changer framework. · github.com, 9 Oct 2026
Real-time conversion: The project reports 170 ms end-to-end latency, or 90 ms with ASIO input and output devices depending on hardware driver support. · github.com, 9 Oct 2026
Resource limits: The FAQ says GPUs with less than 4 GB of VRAM may be unusable for the documented workflow and explains that CUDA out-of-memory can require reducing batch size. · github.com, 9 Oct 2026
Retrieval: Top-1 retrieval replaces source features with training-set features to reduce tone leakage. · github.com, 9 Oct 2026
Training: The project describes training as fast, including on relatively weak graphics cards. · github.com, 9 Oct 2026
Training data: The project says it can train a voice conversion model with a small amount of data and recommends at least 10 minutes of low-noise speech. · github.com, 9 Oct 2026
Vocal separation: The interface can use pymss/MSST models to separate vocals and instruments. · github.com, 9 Oct 2026