Transcribe and translate audio files locally with the Whisper CLI.
npx skills add https://github.com/xxrenzhe/autobb --skill openai-whisper-xxrenzhe
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/xxrenzhe/autobb/tree/main/openclaw-prebuilt/skills/openai-whisper Command: npx skills add https://github.com/xxrenzhe/autobb --skill openai-whisper-xxrenzhe
This Skill provides a local, privacy-focused solution for converting spoken audio into written text without relying on external APIs or requiring API keys.
Use the whisper command to transcribe the audio file '/path/to/meeting.mp3' into a text file.
High-intent search queries and answers about installing and using this skill.
Local speech-to-text transcription can be performed directly on your machine using the Whisper CLI, ensuring audio data remains private without relying on external APIs or API keys.
Yes, local translation of spoken audio from various languages into English is supported, allowing you to process multilingual meeting recordings directly on your machine without uploading files.
No internet connection or API keys are required for local transcription. The process runs entirely offline using the Whisper binary installed directly on your system.
To transcribe a meeting recording, use the whisper command with your audio file path, such as '/path/to/meeting.mp3', to generate a text transcript locally on your machine.
Local speech-to-text requires the 'whisper' binary to be installed and available in your system's PATH, meaning transcription performance depends entirely on your local hardware capabilities.
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