Transcribes and translates audio files locally via the Whisper CLI.
npx skills add https://github.com/lehalpaul/agents --skill openai-whisper-lehalpaul
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/lehalpaul/agents/tree/main/skills/openai-whisper Command: npx skills add https://github.com/lehalpaul/agents --skill openai-whisper-lehalpaul
This Skill provides a local, privacy-preserving solution for converting spoken audio into written text without relying on external APIs or internet connectivity.
Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model and output the transcription as 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, converting your audio files to text without relying on external APIs or internet connectivity.
Yes, you can translate audio content from various languages into English text locally using the Whisper CLI, ensuring your translated audio data remains completely private.
Yes, local speech-to-text transcription requires the whisper binary to be installed and accessible in your system's PATH before you can begin transcribing audio files.
To transcribe a voice memo, use the whisper CLI to process the audio file located at a specific path, selecting a model like medium and outputting the transcription as a text file.
Using a local speech-to-text solution like the Whisper CLI is the best way to ensure privacy, as it processes transcriptions directly on your machine without sending audio data to external services.
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