Transcribe audio files locally using the Whisper CLI.
npx skills add https://github.com/LuisvelMarketer/genome --skill openai-whisper-luisvelmarketer
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/LuisvelMarketer/genome/tree/main/skills/openai-whisper Command: npx skills add https://github.com/LuisvelMarketer/genome --skill openai-whisper-luisvelmarketer
This Skill enables local speech-to-text transcription of audio files without requiring an API key, making it a cost-effective and private solution.
Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model and output the transcription as a text file.
High-intent search queries and answers about installing and using this skill.
You can transcribe audio files locally without an API key by using the Whisper CLI to process voice notes or meeting recordings directly on your machine. This provides a cost-effective and private speech-to-text solution.
Yes, you need the Whisper binary installed and accessible in your system's PATH to perform local speech-to-text transcription. The Skill relies on this CLI framework to process audio files directly on your computer.
The best way to transcribe meeting recordings privately is using local speech-to-text processing with the Whisper CLI. This method operates independently of cloud-based AI services, ensuring your audio content remains entirely on your machine.
Yes, you can output transcription results as a text file by specifying the desired output format when running the Whisper CLI. This allows you to easily save and access the transcribed content from your audio files.
Yes, local speech-to-text transcription supports different Whisper models, such as the medium model. You can specify the desired model when executing the transcription command to balance processing speed and accuracy.
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