Transcribe local audio files to text or SRT using the Whisper CLI.
npx skills add https://github.com/Clawdi-AI/openclaw --skill openai-whisper-clawdi-ai
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/Clawdi-AI/openclaw/tree/main/skills/openai-whisper Command: npx skills add https://github.com/Clawdi-AI/openclaw --skill openai-whisper-clawdi-ai
This Skill provides a local, privacy-focused solution for transcribing audio files without relying on external APIs or requiring an API key.
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 locally without an API key, you can use the Whisper CLI to perform speech-to-text directly on your machine. This processes voice notes and meeting recordings entirely on your system, ensuring audio data privacy.
Local speech-to-text using the Whisper CLI supports various audio input formats for transcription. You can process your voice notes or meeting recordings and output the resulting transcriptions in either standard text or SRT format.
Yes, to transcribe audio files locally you need the 'whisper' binary installed and accessible in your system's PATH. This local speech-to-text execution relies entirely on the Whisper CLI without requiring external APIs.
Yes, you can transcribe a meeting recording and output it as an SRT file. The local speech-to-text process through the Whisper CLI supports generating transcriptions in both text and SRT formats for documentation.
Local transcription is highly suitable for keeping video audio private. By using the Whisper CLI directly on your machine, the speech-to-text processing bypasses external APIs, ensuring your audio data never leaves your local system.
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