Transcribe audio files locally using the Whisper CLI.
npx skills add https://github.com/syxscott/PaleoClaw --skill openai-whisper-syxscott
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/syxscott/PaleoClaw/tree/main/skills/openai-whisper Command: npx skills add https://github.com/syxscott/PaleoClaw --skill openai-whisper-syxscott
This Skill enables local speech-to-text transcription of audio files without requiring an API key, making it a private and cost-effective solution.
Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model and output the result as a text file.
High-intent search queries and answers about installing and using this skill.
To transcribe audio files locally, you can use the Whisper CLI to execute speech-to-text transcription directly on your machine without requiring an API key, ensuring a private and cost-effective process.
Yes, local speech-to-text transcription supports various audio formats like MP3 and M4A, allowing you to directly transcribe voice notes into accurate text transcripts for documentation.
No, local speech-to-text transcription does not require an API key, making it a completely private and cost-effective solution for converting your audio files to text.
The best way to transcribe meeting recordings without uploading them is using local speech-to-text via the Whisper CLI, which processes audio files directly on your machine to guarantee privacy.
Yes, local audio transcription requires the Whisper binary to be installed and configured on your system to properly execute local model execution for speech-to-text conversion.
You can output text transcripts from audio files by using the Whisper CLI to transcribe the target audio path with a specified model, generating a text file as the result.
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