Transcribe spoken audio into text locally using the Whisper CLI.
npx skills add https://github.com/gabrielkoerich/skills --skill openai-whisper-gabrielkoerich
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/gabrielkoerich/skills/tree/main/openai-whisper Command: npx skills add https://github.com/gabrielkoerich/skills --skill openai-whisper-gabrielkoerich
Transcribes speech locally on your device without sending audio to external services.
Run whisper on your audio file with a chosen model to generate a transcript locally.
High-intent search queries and answers about installing and using this skill.
Local speech-to-text transcription runs directly on your device using the Whisper CLI, converting spoken audio into text files completely offline without cloud services. This protects privacy for meetings, lectures, and personal notes.
No API key is required for offline transcription. The Whisper CLI operates entirely locally without external cloud services, ensuring no authentication or internet connection is needed to process audio files.
Local transcription supports configurable output formats including txt, srt, and json. The Whisper CLI generates these text files locally, allowing you to choose the format that best fits your transcription needs.
Yes, Whisper supports translation mode for transcribing spoken audio locally. The CLI processes audio files offline and can translate speech into text while generating output in your chosen format.
You need the Whisper CLI installed on your device to run local speech-to-text transcription. Once installed, the tool works offline without requiring API keys or cloud services to process audio files.
Local transcription is suitable for meetings, lectures, and personal notes. The Whisper CLI processes these audio recordings offline, ensuring sensitive spoken content remains private on your device without cloud exposure.
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