OpenVoice

open_source

OpenVoice is a free, open-source voice cloning AI by MIT and MyShell that supports zero-shot cross-lingual cloning, tone color replication, and granular voice style control.

Text to Speech Tools

Voice Cloners

Foundation Models

About

OpenVoice is a powerful open-source voice cloning model jointly developed by MIT and MyShell AI. Designed as an audio foundation model, it enables developers and researchers to clone any reference voice with high fidelity and generate speech in multiple languages and accents — even those not seen during training. OpenVoice V1 introduced three core capabilities: accurate tone color cloning from a short audio reference, flexible voice style control (including emotion, accent, rhythm, pauses, and intonation), and zero-shot cross-lingual voice cloning that requires no overlap between the target language and the training dataset. This makes it uniquely versatile for global, multilingual applications. OpenVoice V2, released in April 2024, builds on this foundation with improved quality and extended capabilities. The library is available on GitHub under an MIT license, making it freely accessible for both personal and commercial projects. With over 36,000 GitHub stars, OpenVoice has become one of the most popular open-source voice cloning solutions available. It is primarily used via Python, enabling integration into custom applications, pipelines, and research workflows. Ideal for developers, content creators, AI researchers, and product teams building voice-enabled experiences, OpenVoice delivers state-of-the-art voice cloning without the cost or data requirements of proprietary solutions.

Key Features

Accurate Tone Color Cloning: Clones the reference speaker's unique tone color with high fidelity from short audio samples, enabling realistic voice replication.
Flexible Voice Style Control: Provides granular control over voice attributes including emotion, accent, rhythm, pauses, and intonation for fully customizable speech output.
Zero-Shot Cross-Lingual Cloning: Clones voices and generates speech in languages not present in the training data, enabling truly multilingual voice generation without retraining.
Multi-Language & Accent Support: Generates speech across multiple languages and regional accents from a single reference clip, supporting global use cases.
OpenVoice V2 (April 2024): The second generation of the model offers improved speech quality, enhanced stability, and extended language coverage over V1.

Use Cases

Developers building multilingual text-to-speech pipelines who need high-fidelity voice cloning without licensing costs.
Content creators producing voiceovers in multiple languages using a consistent cloned voice persona.
Researchers studying voice synthesis, tone transfer, and cross-lingual speech generation techniques.
Product teams integrating custom branded voices into AI assistants, audiobooks, or e-learning platforms.
Filmmakers and game developers creating dubbed or narrated content with consistent voice characters across languages.

Pros

Completely Free and Open-Source: Released under the MIT license, OpenVoice can be freely used, modified, and deployed in both personal and commercial projects.
Zero-Shot Multilingual Capability: Supports voice cloning across languages the model was never explicitly trained on, reducing the need for large multilingual datasets.
Granular Style Customization: Goes beyond basic voice cloning by allowing fine-grained control over emotion, intonation, and rhythm — rare among open-source tools.
Strong Community Adoption: With 36,000+ GitHub stars and active development, it benefits from a large community, regular updates, and extensive resources.

Cons

Requires Technical Setup: As a Python-based library with no hosted GUI, users need programming knowledge to install dependencies and run inference pipelines.
No Managed Cloud Service: There is no official hosted API or web interface, meaning users must self-host and manage their own compute resources.
Hardware Requirements: Optimal performance requires a capable GPU, which may be a barrier for users without access to suitable hardware.

Frequently Asked Questions

OpenVoice is an open-source instant voice cloning framework developed by MIT and MyShell AI. It enables accurate tone color cloning, flexible voice style control, and zero-shot cross-lingual speech generation.

Yes, OpenVoice is released under the MIT open-source license and is completely free for both personal and commercial use.

OpenVoice supports multiple languages and accents, and its zero-shot cross-lingual capability allows it to generate speech in languages not explicitly included in its training dataset.

OpenVoice V1 introduced the core voice cloning capabilities including tone cloning and style control. V2, released in April 2024, offers improved speech quality, better stability, and expanded language support.

You can get started by cloning the repository from GitHub at github.com/myshell-ai/OpenVoice, installing the dependencies via requirements.txt, and following the demo Jupyter notebooks included in the repo.