Qwen3-TTS
Description:
Qwen3-TTS is an AI-powered open-source text-to-speech model family that generates ultra-realistic, human-like audio with features like 3-second voice cloning, natural-language voice design, and fine-grained control over timbre, emotion, prosody, and speaking rate; it delivers low-latency streaming (~97 ms), supports 10 languages/9 dialects and 49 styles, comes in 0.6B (efficient) and 1.7B (high-performance) variants for long-form output, and is available via API, Python package, Hugging Face and GitHub under Apache‑2.0—making it ideal for creators, developers, and businesses needing customizable, high-fidelity AI TTS for narration, assistants, games, audiobooks, and real-time applications.
A tool to generate speech with voice cloning.
Note: This is a Google Colab, meaning that it's not actually a software as a service. Instead it's a series of pre-created codes that you can run without needing to understand how to code.
Note: This is a GitHub repository, meaning that it is code that someone created and made publicly available for anyone to use. These tools could require some knowledge of coding.
Pricing Model:
Open Source
Price Unknown / Product Not Launched Yet
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Note: Matt's picks are tools that Matt Wolfe has personally reviewed in depth and found it to be either best in class or groundbreaking. This does not mean that there aren't better tools available or that the alternatives are worse. It means that either Matt hasn't reviewed the other tools yet or that this was his favorite among similar tools.
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Qwen3-TTS
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A tool to generate speech with voice cloning.
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