Transcribe local audio files to text using the Whisper CLI.
npx skills add https://github.com/ybsa/sovereign-kernel --skill openai-whisper-ybsa
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/ybsa/sovereign-kernel/tree/main/crates/sk-tools/skills/openai-whisper Command: npx skills add https://github.com/ybsa/sovereign-kernel --skill openai-whisper-ybsa
This Skill provides a local, privacy-preserving solution for converting spoken audio into written text 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 transcription as a text file.
High-intent search queries and answers about installing and using this skill.
Local speech-to-text transcription converts spoken audio into written text directly on your machine using the Whisper CLI. It processes audio securely without relying on external APIs or requiring an API key.
Yes, local speech-to-text transcription requires the Whisper binary to be installed and available in your system's PATH. This environment setup ensures deterministic execution of the audio processing commands.
Local speech-to-text transcription supports various audio input formats for content generation. It processes these files using the Whisper CLI and outputs the final transcriptions in plain text format.
Yes, local speech-to-text transcription is applicable for secure audio processing. It allows you to transcribe meeting recordings or voice notes directly on your local system for later review or documentation.
To transcribe an audio file, use the Whisper CLI to specify the audio file path and select the medium model. This local speech-to-text process will output the transcription as a plain text file.
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