Transcribe audio files locally into text and subtitle outputs using the Whisper CLI.
npx skills add https://github.com/freire19/Mythos --skill openai-whisper-freire19
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/freire19/Mythos/tree/main/skills/openai-whisper Command: npx skills add https://github.com/freire19/Mythos --skill openai-whisper-freire19
It removes the need for API-based speech-to-text by enabling local transcription of audio files on your machine.
Run whisper on your audio file with the desired model and output format, for example: transcribe /path/audio.mp3 using the medium model and save the result as a .txt file in the current directory.
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 audio files into text outputs without requiring an external API key.
Yes, Whisper CLI supports generating subtitle formats such as .srt from audio files, alongside standard text outputs like .txt, depending on the selected task and command flags.
No, local audio transcription with Whisper CLI removes the need for API-based speech-to-text services by processing audio files entirely on your own machine.
You can select smaller Whisper models for faster transcription results or larger models for better accuracy, with first-run model downloads automatically cached locally for future use.
Local CLI speech-to-text transcription requires a local whisper binary installed from the openai-whisper package, meaning processing speed and accuracy depend heavily on your machine's hardware resources.
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