Transcribe audio files locally to text and subtitles using Whisper CLI.
npx skills add https://github.com/cogpy/clawcog --skill openai-whisper-cogpy
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/cogpy/clawcog/tree/main/skills/openai-whisper Command: npx skills add https://github.com/cogpy/clawcog --skill openai-whisper-cogpy
This Skill enables local speech-to-text transcription of audio files without requiring an API key, offering a private and cost-effective solution.
txt) and subtitles (srt).Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model and output the result as text.
High-intent search queries and answers about installing and using this skill.
To transcribe audio files locally without an API key, you can use this Skill to run speech-to-text transcription directly on your machine via the Whisper CLI. It provides a private and cost-effective solution for generating text transcripts.
Yes, you can generate SRT subtitle files from an audio recording because this local speech-to-text transcription supports multiple output formats, including plain text (txt) and subtitles (srt).
Yes, you need the Whisper CLI installed and configured on your local system to perform local speech-to-text transcription. This Skill acts as an interface to execute the transcription processing logic on your machine.
The best way to transcribe a meeting recording for easy searching is using local speech-to-text transcription to generate a plain text transcript. This Skill processes the audio file locally to deliver searchable text output.
Yes, local speech-to-text transcription works with various audio formats. The Skill leverages the Whisper CLI to process different types of audio files and output the transcription results in your chosen format.
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