https://github.com/iahispano/applio

A simple, high-quality voice conversion tool focused on ease of use and performance
https://github.com/iahispano/applio

ai applio pytorch rvc speech speech-to-speech text-to-speech tts vc vits voice voice-clone voice-cloning voice-conversion

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A simple, high-quality voice conversion tool focused on ease of use and performance

• Host: GitHub
• URL: https://github.com/iahispano/applio
• Owner: IAHispano
• License: mit
• Created: 2023-08-07T22:42:16.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-10-29T10:25:54.000Z (3 months ago)
• Last Synced: 2024-10-29T12:09:28.863Z (3 months ago)
• Topics: ai, applio, pytorch, rvc, speech, speech-to-speech, text-to-speech, tts, vc, vits, voice, voice-clone, voice-cloning, voice-conversion
• Language: Python
• Homepage: https://applio.org
• Size: 27.1 MB
• Stars: 1,737
• Watchers: 23
• Forks: 283
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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A simple, high-quality voice conversion tool, focused on ease of use and performance.




  🌐 Website

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  📚 Documentation

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  ☎️ Discord





  🛒 Plugins

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  📦 Compiled

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  🎮 Playground

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  🔎 Google Colab (UI)

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  🔎 Google Colab (No UI)



## Introduction

Applio is a powerful voice conversion tool focused on simplicity, quality, and performance. Whether you're an artist, developer, or researcher, Applio offers a straightforward platform for high-quality voice transformations. Its flexible design allows for customization through plugins and configurations, catering to a wide range of projects.

## Terms of Use and Commercial Usage

Using Applio responsibly is essential. Here’s a summary of our Terms of Use and commercial guidelines:

- Users must 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, provided users adhere to legal and ethical guidelines, secure appropriate rights and permissions, and comply with the [MIT license](./LICENSE).

For commercial purposes, we recommend contacting us at [[email protected]](mailto:[email protected]) to ensure ethical use. All audio files generated with Applio must comply with applicable copyrights. If you find Applio helpful, consider supporting its development [through a donation](https://ko-fi.com/iahispano).

By using Applio, you accept full responsibility for adhering to these terms. Applio and its contributors are not liable for misuse. For more details, please refer to the full [Terms of Use](./TERMS_OF_USE.md).

## Getting Started

### 1. Installation

Run the installation script based on your operating system:

- **Windows:** Double-click `run-install.bat`.

- **Linux/macOS:** Execute `run-install.sh`.

### 2. Running Applio

Start Applio using:

- **Windows:** Double-click `run-applio.bat`.

- **Linux/macOS:** Run `run-applio.sh`.

This launches the Gradio interface in your default browser.

### 3. Optional: TensorBoard Monitoring

To monitor training or visualize data:

- **Windows:** Run `run-tensorboard.bat`.

- **Linux/macOS:** Run `run-tensorboard.sh`.

For more detailed instructions, visit the [documentation](https://docs.applio.org).

## References

Applio is made possible thanks to these projects and their references:

- [gradio-screen-recorder](https://huggingface.co/spaces/gstaff/gradio-screen-recorder) by gstaff

- [rvc-cli](https://github.com/blaisewf/rvc-cli) by blaisewf

### Contributors