Transcribe and translate audio files locally using the OpenAI Whisper CLI.
npx skills add https://github.com/Rlier/clawdbot --skill openai-whisper-rlier
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/Rlier/clawdbot/tree/main/skills/openai-whisper Command: npx skills add https://github.com/Rlier/clawdbot --skill openai-whisper-rlier
This Skill enables local speech-to-text transcription and translation of audio files without requiring an API key, offering a private and efficient solution.
Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model.
High-intent search queries and answers about installing and using this skill.
Local speech-to-text transcription can be performed without an API key by using the Whisper CLI to process audio files directly on your machine, ensuring privacy and efficiency.
Yes, local translation of spoken audio into text is supported by the Whisper CLI, allowing you to convert voice notes or recordings into different languages for documentation.
Yes, local speech-to-text transcription requires the whisper binary to be installed and accessible in your system's PATH to process audio files correctly.
To balance speed and accuracy during audio transcription, select different model sizes offered by the Whisper CLI, such as using the medium model for your audio files.
Local speech-to-text transcription supports various audio formats, allowing you to directly transcribe files like meeting recordings using the Whisper CLI without format restrictions.
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