LanceLRQ/qwen3-asr-service
Simple, Fast and Efficient Speech-to-Text API Service based on Qwen3-ASR. 简单快速高效的语音识别API服务
- Stars
- 56
- Forks
- 9
- Open issues
- 1
- Last push
- 14d ago
qwen3-asr-service star history
+0 this week
About qwen3-asr-service
qwen3-asr-service is a free, open-source AI voice and audio tool by LanceLRQ, written mainly in Python. Simple, Fast and Efficient Speech-to-Text API Service based on Qwen3-ASR. 简单快速高效的语音识别API服务. It has 56 GitHub stars and 9 forks, and was last updated 14d ago. It's released under the MIT license, a standard open-source license. According to the project, it runs on a regular CPU without a GPU and works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 56
- Last update
- 14d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not needed (runs on CPU)
- Paid API key
- Not required
- Self-hostable
- Yes
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qwen3-asr-service FAQ
Can I use qwen3-asr-service 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-asr-service free?
Yes. qwen3-asr-service is open source and free to use. It's released under the MIT license, a standard open-source license.
Does qwen3-asr-service run on a Mac?
Yes. According to the project, qwen3-asr-service works on macOS.
Does qwen3-asr-service need a GPU?
No. According to the project, qwen3-asr-service runs on a regular CPU.
Is qwen3-asr-service still maintained?
Yes. It was last updated 14d ago and has 1 open issues on GitHub.
What are alternatives to qwen3-asr-service?
Similar free, open-source tools include Fun-ASR, whisper-asr-webservice, FunASR, whisper.cpp.
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