About so-vits-svc
SoftVC VITS Singing Voice Conversion
so-vits-svc is an open-source AI tool for singing voice conversion (SVC) that leverages SoftVC (Soft Voice Conversion) and VITS (Variational Inference with adversarial learning for end-to-end Text-to-Speech) to transform any input voice into a target singing voice with high fidelity. Built on PyTorch, it combines flow-based models and generative adversarial networks (GANs) to achieve realistic, expressive vocal outputs while preserving musical nuances like pitch and emotion. Unlike basic voice changers, it specializes in singing, making it ideal for music production, covers, and creative projects. Hosted on GitHub and completely free, it offers advanced audio analysis and deep learning capabilities for developers and enthusiasts. Its unique blend of variational inference and adversarial training sets it apart, delivering professional-grade voice conversion without costly software.
Common Use Cases
- Create custom singing covers by converting your voice to mimic famous artists' vocal styles.
- Enhance music production by generating diverse vocal tracks without hiring multiple singers.
- Develop voice-changing applications for entertainment, such as karaoke or gaming modifications.
- Experiment with audio research and AI model training for speech and singing synthesis projects.
- Restore or modify vocal recordings in audio post-production for clearer or stylized results.
Not sure how we recommend this tool? Learn about our methodology
Key Features
- Python
- Open Source
- GitHub Hosted
How to Get Started
Usage Statistics
Active Users
28,049
API Calls
5,079,000
Additional Information
Category
Generative AI
Pricing
Free
Last Updated
4/3/2026
