Transcribe audio files into text locally using the OpenAI Whisper command-line tool.
npx skills add https://github.com/feiji77-2/openclaw --skill openai-whisper-feiji77-2
Please help me install this Agent Skill. Skill: OpenAI Whisper Source: https://github.com/feiji77-2/openclaw/tree/main/skills/openai-whisper Command: npx skills add https://github.com/feiji77-2/openclaw --skill openai-whisper-feiji77-2
This Skill enables local, offline audio transcription using the Whisper model, eliminating the need for API keys or internet connectivity for speech-to-text conversion.
Use whisper to transcribe the audio file located at /path/to/meeting.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.
Local audio transcription processes audio files into text offline using the Whisper command-line tool, eliminating the need for internet connectivity or API keys.
No API key is needed for local speech-to-text transcription. Whisper runs directly on your machine offline, requiring only the whisper binary installed and accessible in your system PATH.
Yes, local speech-to-text transcription supports various audio formats including MP3 and can output multiple types such as plain text files and subtitle formats.
Offline speech-to-text transcription is the best way to convert recorded meetings into text transcripts by running the Whisper command-line tool locally with a specified model and text output format.
Local transcription requires the whisper binary to be installed and accessible in your system PATH to execute offline speech-to-text processing without external API dependencies.
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