A simple, high-quality voice conversion tool, focused on ease of use and performance.
🌐 Website • 📚 Documentation • ☎️ Discord • 🛒 Plugins • 📦 Compiled • 🎮 Playground • 🔎 Google Colab (UI) • 🔎 Google Colab (No UI)
--- ## Introduction Applio is a powerful, user-friendly voice conversion tool designed for high-quality audio transformations with a focus on simplicity and performance. It's suitable for artists, developers, and researchers alike, offering a flexible platform that supports customization through plugins and configurations for diverse projects. > [!NOTE] > Applio is currently stable and mature, meaning it will receive fewer frequent updates. Future development will concentrate on security patches, dependency updates, and occasional feature enhancements. Pull requests are always welcome and will be reviewed. ## Terms of Use & Commercial Usage Responsible use of Applio is paramount. Users are expected to respect copyrights, intellectual property, and privacy rights. Applio is intended for lawful and ethical purposes, including personal, academic, and investigative projects. Commercial usage is permitted under the following conditions: * Adherence to all legal and ethical guidelines. * Securing appropriate rights and permissions for your specific use case. * Compliance with the permissive [MIT license](./LICENSE). While the source code and model weights are MIT licensed, use of the official Applio version (as provided in this repository, without significant modification) also requires compliance with our [Terms of Use](./TERMS_OF_USE.md). These terms ensure responsible and ethical usage without limiting the project's utility. For commercial inquiries or to ensure alignment with ethical standards, please contact us at [support@applio.org](mailto:support@applio.org). All audio generated with Applio must comply with applicable copyright laws. By using the official version of Applio, you accept full responsibility for complying with both the MIT license and our [Terms of Use](./TERMS_OF_USE.md). Applio and its contributors are not liable for misuse. Consider supporting Applio's development [through a donation](https://ko-fi.com/iahispano) if you find it valuable. ## Getting Started ### 1. Installation Run the appropriate installation script for your operating system: * **Windows:** Double-click `run-install.bat` * **Linux/macOS:** Execute `run-install.sh` ### 2. Running Applio Launch Applio using the script for your operating system: * **Windows:** Double-click `run-applio.bat` * **Linux/macOS:** Run `run-applio.sh` This will automatically open the Gradio user interface in your default web browser. ### 3. Optional: TensorBoard Monitoring To monitor training progress or visualize data: * **Windows:** Run `run-tensorboard.bat` * **Linux/macOS:** Run `run-tensorboard.sh` For more comprehensive instructions and troubleshooting, please refer to the [official documentation](https://docs.applio.org). ## My Awesome Space * **Emoji:** ✨ * **Color From:** blue * **Color To:** purple * **SDK:** gradio * **App File:** `app.py` * **Pinned:** false ## References Applio is built upon the contributions of these excellent projects: * [gradio-screen-recorder](https://huggingface.co/spaces/gstaff/gradio-screen-recorder) by gstaff * [rvc-cli](https://github.com/blaisewf/rvc-cli) by blaisewf ### Contributors A huge thank you to all the contributors who have made Applio possible!