Transcribe audio locally using the Whisper CLI to generate on-device transcripts.
npx skills add https://github.com/Luzzer/Kraken --skill openai-whisper-luzzer
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/Luzzer/Kraken/tree/main/skills/openai-whisper Command: npx skills add https://github.com/Luzzer/Kraken --skill openai-whisper-luzzer
Local transcription of audio without relying on external services, ensuring privacy and on-device processing.
Transcribe an audio file locally using the Whisper CLI with a selected model to produce a text transcript.
High-intent search queries and answers about installing and using this skill.
Transcribe audio locally by using the Whisper CLI to process files on-device, ensuring privacy without relying on external APIs. This allows for offline transcription of meetings, lectures, and podcasts.
No, you do not need an API key for speech-to-text conversion with this approach. Local transcription uses Whisper models directly from the CLI, bypassing external authentication requirements.
Local transcription with Whisper requires a functioning Whisper binary installed on the host system. Cache files and models will be stored under the ~/.cache/whisper directory during processing.
Yes, you can translate audio files during offline transcription. The Whisper CLI supports multiple languages and optional translation tasks for meetings, lectures, or podcasts.
Generate text transcripts from voice notes on-device by executing the Whisper CLI with a selected audio file. The tool processes the input locally to produce a text transcript safely and privately.
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