Applio
A simple, high-quality voice conversion tool focused on ease of use and performance.
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What is Applio?
Applio is a powerful, AI-driven voice conversion tool that enables users to create personalized voices or use a variety of pre-existing voices. It focuses on simplicity, high quality, and performance, making it accessible for artists, developers, and researchers alike. The tool uses RVC (Retrieval-based Voice Conversion) technology to convert one voice into another while preserving the original speech content and transferring speaking styles like emotions and intonation.
Key features include a simple and easy-to-understand Gradio interface, the ability to create custom voice models through dataset creation and training, text-to-speech conversion for models, TensorBoard monitoring for training visualization, an Audio Analyzer Tool for datasets, and a Voice Blender for combining models to create new ones. Applio supports custom pretrained models like TITAN and Ov2, and offers flexibility through plugins and configurations.
Applio is designed for both local installation and cloud-based usage through Google Colab, making it accessible to users with varying hardware resources. For local voice training, it requires an Nvidia RTX 2000 series graphics card or higher, while voice inferring works efficiently on most standard hardware. The tool is available on Windows, Mac, and Linux, and is distributed under the permissive MIT license with an open-source ecosystem hosting cutting-edge AI voice cloning technologies.
The platform includes a powerful search engine for RVC models, making it the only open-source website with this capability. With over 230k Discord server members and 90k daily website users, Applio has become the most used voice cloning tool since its public release on August 8, 2023. The API is currently used in more than 200 different applications.
Applio pricing
Pricing model: Freemium
Applio is completely free and open-source under the MIT license. There is no paid tier or subscription model. Users can download and use the tool locally on Windows, Mac, or Linux at no cost, or access it through Google Colab for free cloud-based usage. The tool includes all features without limitations. For commercial use, users must comply with the MIT license and the Terms of Use, respecting copyrights and intellectual property. Commercial users are recommended to contact [email protected] to ensure their usage aligns with ethical standards. Donations are accepted through ko-fi.com/iahispano to support development.
Applio pros
- Open-source and MIT licensed for free use
- High-quality voice conversion with minimal training data (10 mins)
- User-friendly Gradio interface suitable for beginners
- Works on Windows, Mac, and Linux
- Google Colab support for users without GPU
- Customizable through plugins and configurations
- TensorBoard monitoring for training visualization
- Audio Analyzer Tool for dataset quality control
- Voice Blender to combine models into new ones
- Supports custom pretrained models like TITAN and Ov2
- Built-in text-to-speech conversion for models
- Powerful RVC model search engine
- Fast conversion speed (1-hour audio in minutes)
- Transfers speaking styles and emotions naturally
- Large community with 230k+ Discord members
- API used in 200+ different applications
- Active development with regular updates
Applio cons
- Requires Nvidia RTX 2000 series or higher for local training
- Resource-intensive on lower-end hardware
- Potential ethical concerns about voice cloning misuse
- Data quality issues if training data is not diverse
- Limited public documentation on enterprise features
- Voice quality depends on selected model and input audio
- May require technical familiarity for local setup
- Project now receives only security patches and occasional features
- Users must comply with copyright and intellectual property laws
- Commercial use requires contacting support for ethical alignment
Frequently asked questions about Applio
What is Applio?
Applio is a simple, high-quality voice conversion tool focused on ease of use and performance. It is an AI-driven platform that enables users to create personalized voices or use pre-existing voices for voice conversion tasks. Applio uses RVC (Retrieval-based Voice Conversion) technology and is available on Windows, Mac, and Linux.
What is RVC and how does it work?
RVC (Retrieval-based Voice Conversion) is a voice cloning technique that uses a pre-trained model to retrieve and combine audio segments from a source speaker to synthesize the voice of a target speaker. It works by extracting acoustic features and speaker embeddings from source and target voices, then retrieving and combining the most similar audio segments. RVC requires less training data (typically 10 mins), is efficient, produces high-quality conversions, and can transfer speaking styles like emotions and intonation.
Can I use Applio for commercial purposes?
Yes, Applio is distributed under the MIT license which allows commercial use. However, users must comply with the MIT license and the Terms of Use, respect copyrights and intellectual property rights, and secure appropriate rights and permissions. For commercial use, it is recommended to contact [email protected] to ensure usage aligns with ethical standards. All audio generated must comply with applicable copyright laws.
What are the hardware requirements for Applio?
For voice training locally, you need an Nvidia RTX 2000 series graphics card or higher for optimal performance. For voice inferring (using pre-existing voices), Applio runs efficiently on most standard hardware configurations without a high-end GPU. Alternatively, users with limited hardware can use Google Colab for cloud-based access.
How do I install Applio?
For local installation, run the installation script based on your operating system: on Windows, double-click run-install.bat; on Linux/macOS, execute run-install.sh. After installation, start Applio by double-clicking run-applio.bat on Windows or running run-applio.sh on Linux/macOS. This launches the Gradio interface in your default browser. Alternatively, use the Google Colab notebook for cloud-based access without installation.
What can I do with Applio's interface?
The main features include: making inferences/using voices in the inference section, creating datasets and training voice models through the training guide, using custom pretrained models like TITAN and Ov2, using text-to-speech conversion for models, monitoring training with TensorBoard, using the Audio Analyzer Tool for datasets, and combining models to create new ones with the Voice Blender.
Is Applio free to use?
Yes, Applio is completely free and open-source under the MIT license. There are no paid plans or subscription fees. Users can download and use all features locally or access via Google Colab at no cost. The project accepts donations through ko-fi to support development, but usage is not dependent on contributions.
Can I continue training a model with more data?
Yes, you can continue training by adding data to a new path, processing the dataset, extracting features, copying the G and D files from the previous experiment, and continuing training. This allows you to improve model quality by iteratively adding more training data.
How do I monitor training with TensorBoard?
To monitor training or visualize data with TensorBoard, run run-tensorboard.bat on Windows or run-tensorboard.sh on Linux/macOS. This launches TensorBoard which allows you to monitor training progress and visualize data during the voice model training process. Detailed instructions are available in the TensorBoard Guide in the documentation.
What audio formats does Applio support?
Applio supports various audio formats including WAV and MP3 for input. The tool expects audio files and text inputs for customization and configuration, and generates high-quality voice transformations as output. Users should ensure their audio files comply with applicable copyrights and intellectual property rights.