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Voice & audio

gabriele-mastrapasqua/qwen3-tts

Pure C inference engine for Qwen3-TTS text-to-speech. No Python, no PyTorch — just C and BLAS. Supports 0.6B and 1.7B models, 9 voices, 10 languages.

Commercial OK · MITRuns on MacC
Stars
124
Forks
28
Open issues
0
Last push
1mo ago

qwen3-tts star history

+3 this week

124 ★
21 Oct27 Oct
qwen3-tts went from 121 to 124 GitHub stars over the last 6 days (+3, about 1 a day).

About qwen3-tts

qwen3-tts is a free, open-source AI voice and audio tool by gabriele-mastrapasqua, written mainly in C. Pure C inference engine for Qwen3-TTS text-to-speech. No Python, no PyTorch — just C and BLAS. Supports 0.6B and 1.7B models, 9 voices, 10 languages. It has 124 GitHub stars and 28 forks, and was last updated 1mo ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.

License
MIT
Commercial use
Commercial OK
Language
C
Stars
124
Last update
1mo ago
Runs on Mac
Yes (as stated by the project)
GPU
Not stated
Paid API key
Not stated
Self-hostable
Not stated

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qwen3-tts FAQ

Can I use qwen3-tts commercially?

Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.

Is qwen3-tts free?

Yes. qwen3-tts is open source and free to use. It's released under the MIT license, a standard open-source license.

Does qwen3-tts run on a Mac?

Yes. According to the project, qwen3-tts works on macOS.

Does qwen3-tts need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is qwen3-tts still maintained?

It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.

What are alternatives to qwen3-tts?

Similar free, open-source tools include VoxCPM, Speech, index-tts, fish-speech.

Maintain qwen3-tts?

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