Transcribe local audio files into text transcripts using Whisper CLI.
npx skills add https://github.com/AG064/argentum --skill openai-whisper-ag064
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/AG064/argentum/tree/main/skills/openai-whisper Command: npx skills add https://github.com/AG064/argentum --skill openai-whisper-ag064
Local speech-to-text transcription without relying on external APIs or API keys, using the Whisper CLI for offline privacy.
Transcribe a local audio file using whisper and save the transcript to a text file.
High-intent search queries and answers about installing and using this skill.
You can transcribe audio locally without an API key by using the Whisper CLI. It processes audio files offline to generate text transcripts, ensuring privacy without relying on external APIs.
Yes, you can transcribe meeting recordings offline to create searchable text. The Whisper CLI converts local audio files into text transcripts, suitable for meeting minutes and accessibility documents.
Offline speech-to-text transcription requires downloading Whisper models to the ~/.cache/whisper directory initially. After downloading the models, the transcription process operates fully offline without needing an internet connection.
When you transcribe audio locally with the Whisper CLI, you can generate multiple output formats including plain text (txt) and SubRip subtitle files (srt) for your transcripts and translations.
Yes, you need the whisper bin installed on your system to convert podcasts to text. The local transcription process relies entirely on this command-line executable to operate without API keys.
caiazzopTranscribe audio files into text and subtitle formats using the Whisper CLI.
buda-aiTranscribe audio and video into timestamped TXT, SRT, and JSON transcripts.
dsactivi-2Transcribe and translate local audio files using the Whisper CLI.
papachongTranscribe audio files to text locally using the Whisper CLI.
