gustavostz/whisper-clip
WhisperClip simplifies your life by automatically transcribing audio recordings and saving the text directly to your clipboard. With just a click of a button, you can effortlessly convert spoken words
- Stars
- 138
- Forks
- 17
- Open issues
- 1
- Last push
- 2mo ago
About whisper-clip
whisper-clip is a free, open-source AI voice and audio tool by gustavostz, written mainly in Python. WhisperClip simplifies your life by automatically transcribing audio recordings and saving the text directly to your clipboard. With just a click of a button, you can effortlessly convert spoken words. It has 138 GitHub stars and 17 forks, and was last updated 2mo ago. It's released under the MIT license, a standard open-source license. According to the project, it needs a GPU with at least 1.5 GB of memory and works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 138
- Last update
- 2mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- 1.5 GB+ (as stated by the project)
- Paid API key
- Not stated
- Self-hostable
- Yes
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whisper-clip FAQ
Can I use whisper-clip 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 whisper-clip free?
Yes. whisper-clip is open source and free to use. It's released under the MIT license, a standard open-source license.
Does whisper-clip run on a Mac?
Yes. According to the project, whisper-clip works on macOS.
Does whisper-clip need a GPU?
According to the project, whisper-clip needs a GPU with at least 1.5 GB of memory.
Is whisper-clip still maintained?
It was last updated 2mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to whisper-clip?
Similar free, open-source tools include whisper, whisper.cpp, Speech, faster-whisper.