RVC WebUI
RVC WebUI is a free, MIT-licensed framework for voice timbre conversion and voice changing on Linux and Windows.
What RVC WebUI is
RVC WebUI is a free, MIT-licensed framework for voice timbre conversion and voice changing on Linux and Windows. It supports both recorded audio and real-time conversion, with audio export available. The project says models can be trained with a small amount of speech and recommends at least 10 minutes of low-noise audio. Top-1 retrieval can use training-set features in place of source features to reduce tone leakage, while checkpoint processing can merge models to alter timbre. The interface can separate vocals and instruments with pymss/MSST models and includes the RMVPE high-pitch voice extraction algorithm. The project reports 170 ms end-to-end latency for real-time conversion, or 90 ms with ASIO input and output devices, depending on driver support. Setup guidance covers Windows and Ubuntu 24.04 x86_64, with distinct CUDA 12.8 and CUDA 11.8 paths for NVIDIA GPUs; CPU, AMD, and Intel dependencies are also documented. The documented workflow requires local Python and model files downloaded from a Hugging Face repository. GPUs with less than 4 GB of VRAM may not work for that workflow, and CUDA memory errors may require lowering batch size.
Good
- Free and MIT-licensed
- Supports real-time and recorded-audio conversion
- Includes model merging and vocal separation
- Audio export is available
- Supports Windows and Linux
Watch out
- Requires local Python and model setup
- Needs downloaded model files for inference
- GPUs under 4 GB VRAM may be unusable
- CUDA memory errors may require smaller batches
Who it suits
RVC WebUI suits users who want to convert voice timbre in recordings or in real time and are comfortable setting up software locally. It is aimed at desktop users on Windows or Linux with appropriate hardware and model files.
Verdict
RVC WebUI provides voice conversion, model training, and audio-processing options without a listed fee. Setup depends on local Python, downloaded models, and hardware that can handle the documented workflow.
Plans and prices
From RVC WebUI's own pricing page, checked 9 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| RVC WebUI | Free | MIT-licensed open-source software · requires local Python and model setup |
The facts
Each one read from RVC WebUI's own pages, with the date it was checked.
What it does
- GPU support
- The guide lists CPU/AMD/Intel dependencies and separate CUDA 12.8 and CUDA 11.8 installation paths for NVIDIA GPUs.checked 9 Oct 2026
- Integrations
- The documented project components and credits include Gradio, FFmpeg, Ultimate Vocal Remover, pymss, and audio-slicer.checked 9 Oct 2026
- License
- The repository lists the project under the MIT license.checked 9 Oct 2026
- Model fusion
- A checkpoint processing option can merge models to change timbre.checked 9 Oct 2026
- Model setup
- The guide requires users to download model files from a Hugging Face model repository for inference and feature extraction.checked 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.checked 9 Oct 2026
- Pitch extraction
- The project includes the RMVPE high-pitch voice extraction algorithm and describes it as fast with low resource consumption.checked 9 Oct 2026
- Purpose
- RVC WebUI is a voice timbre conversion and voice changer framework.checked 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.checked 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.checked 9 Oct 2026
- Retrieval
- Top-1 retrieval replaces source features with training-set features to reduce tone leakage.checked 9 Oct 2026
- Training
- The project describes training as fast, including on relatively weak graphics cards.checked 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.checked 9 Oct 2026
- Vocal separation
- The interface can use pymss/MSST models to separate vocals and instruments.checked 9 Oct 2026
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