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RVC WebUI
What it is
RVC WebUI is free, MIT-licensed software for voice timbre conversion and voice changing. It runs on Linux and Windows as a self-hosted desktop project and supports recorded-audio conversion, real-time changing, and audio export. The project says users can train a conversion model from a small amount of speech, recommending at least 10 minutes of low-noise audio. Top-1 retrieval can substitute source features with training-set features to reduce tone leakage, while checkpoint processing can merge models to alter timbre. The interface supports vocal and instrumental separation through pymss or MSST models and includes the RMVPE high-pitch voice extraction algorithm. Reported real-time latency is 170 ms end to end, or 90 ms with ASIO input and output devices when hardware drivers support it. Setup guidance covers Windows and Ubuntu 24.04 x86_64, with CPU, AMD, Intel, and NVIDIA CUDA paths. Model files must be downloaded from a Hugging Face repository. GPUs below 4 GB VRAM may be unusable for the documented workflow.
For and against
For
- Free MIT-licensed software
- Recorded and real-time voice conversion
- Model training from limited speech data
- Vocal separation and pitch extraction tools
- Audio export supported
Against
- Requires local Python and model setup
- Model files must be downloaded separately
- GPUs under 4 GB VRAM may fail
- No free trial is listed
The verdict
RVC WebUI provides a self-hosted toolkit for changing voice timbre in recordings or real time. Users should review the setup, model-download, and GPU requirements before choosing a workflow.
Who it suits
RVC WebUI suits users who can manage local Python and model setup on Windows or Linux. It is intended for recorded or real-time voice conversion, with hardware requirements that vary by workflow.
Plans and prices
RVC WebUI
MIT-licensed open-source software · requires local Python and model setup
Read 9 Oct 2026 · github.com
On the record
- 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 · read 9 Oct 2026
- Integrations
- The documented project components and credits include Gradio, FFmpeg, Ultimate Vocal Remover, pymss, and audio-slicer.github.com · read 9 Oct 2026
- License
- The repository lists the project under the MIT license.github.com · read 9 Oct 2026
- Model fusion
- A checkpoint processing option can merge models to change timbre.github.com · read 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 · read 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 · read 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 · read 9 Oct 2026
- Purpose
- RVC WebUI is a voice timbre conversion and voice changer framework.github.com · read 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 · read 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 · read 9 Oct 2026
- Retrieval
- Top-1 retrieval replaces source features with training-set features to reduce tone leakage.github.com · read 9 Oct 2026
- Training
- The project describes training as fast, including on relatively weak graphics cards.github.com · read 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 · read 9 Oct 2026
- Vocal separation
- The interface can use pymss/MSST models to separate vocals and instruments.github.com · read 9 Oct 2026
