Transcribe and translate local audio files using the Whisper CLI.
npx skills add https://github.com/dsactivi-2/Mujo-Team --skill openai-whisper-dsactivi-2
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/dsactivi-2/Mujo-Team/tree/main/skills/openai-whisper Command: npx skills add https://github.com/dsactivi-2/Mujo-Team --skill openai-whisper-dsactivi-2
This Skill enables local speech-to-text transcription of audio files without requiring an API key, making it a cost-effective and private solution.
Use whisper to transcribe the audio file located at /path/to/meeting.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.
You can transcribe audio recordings locally without an API key by using the Whisper CLI. This Skill processes audio files directly on your machine, ensuring a private and cost-effective speech-to-text transcription.
Yes, you can translate a voice memo from various languages into English text. The Whisper CLI performs local speech-to-text translation, converting non-English audio recordings directly into an English text document.
Yes, you need the Whisper executable installed and accessible in your system's PATH before using this local transcription. This prerequisite allows the Skill to execute local speech-to-text processing directly on your machine.
The best way to transcribe a video soundtrack into a text document is using the Whisper CLI for local speech-to-text transcription. It processes video soundtracks directly on your machine and outputs the result as a searchable text file.
To transcribe a meeting recording using the medium model, execute the Whisper CLI with the specific audio file path and specify the medium model. This local speech-to-text process outputs the transcription as a text file.
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