1. What this project is
RVC WebUI is a retrieval-based voice-conversion project with browser controls for inference, feature extraction, training, and optional vocal separation workflows.
2. What you can make
A user can convert authorized recordings toward a trained voice timbre, compare indexes and models, and learn the data preparation steps behind voice conversion.
3. Recommended first use
Use your own voice or a contributor who gave explicit permission. Follow the current Python 3.12 and FFmpeg setup, select the requirement file for your hardware, and test a short clip.
4. Requirements and cost
The repository documents separate CPU, AMD, Intel, and NVIDIA dependency paths. Training and high-quality inference benefit greatly from a supported GPU and sufficient storage.
5. Who it suits
Useful for consent-based creative voice experiments, audio-production learning, and research into voice-conversion pipelines.
6. Limits and safety
Good results require clean data and careful settings. The MIT software license does not grant rights to a person's voice, recordings, songs, or third-party models. Never clone a person's voice without consent, label synthetic output, avoid fraud or identity misuse, scan downloaded models, and keep the WebUI off the public internet.
7. Project and license
Repository content is provided under MIT software; voice data and model rights vary; check the current LICENSE before reuse. Repository: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI