Transcribe audio files to text locally using the Whisper CLI.
npx skills add https://github.com/papachong/RHClaw --skill openai-whisper-papachong
Please help me install this Agent Skill. Skill: openai-whisper Source: https://github.com/papachong/RHClaw/tree/main/RHClaw-Desktop/src-tauri/skills/openai-whisper Command: npx skills add https://github.com/papachong/RHClaw --skill openai-whisper-papachong
This Skill provides a simple way to transcribe audio locally using the Whisper CLI, avoiding external API usage and keeping sensitive audio data on your machine.
Transcribe the audio file meeting.mp3 locally into plain text using the whisper CLI with the medium model and save the output to the current directory.
High-intent search queries and answers about installing and using this skill.
Local speech-to-text transcription without an external API is achieved by using the Whisper CLI to convert audio files into text directly on your machine. This approach processes meeting recordings and podcasts entirely offline, keeping sensitive data secure.
Yes, you can generate SRT subtitle files offline using the local Whisper CLI. The tool supports multiple output formats including plain text and SRT, allowing you to produce subtitle files for downstream editing and indexing from audio recordings.
No, you do not need an API key to convert meeting recordings to text. The local Whisper CLI operates entirely offline on your laptop, avoiding external API usage and keeping sensitive audio data on your local machine without requiring authentication.
Choose smaller Whisper models for faster offline transcription speed or larger models for higher text accuracy. The Whisper CLI supports multiple model sizes, and selected models are downloaded to your local cache for reuse during subsequent speech-to-text processing.
Local offline speech-to-text with Whisper requires the whisper binary installed locally on your machine. Processing speed and transcription accuracy depend on your local hardware capabilities and the selected model size, which may limit real-time processing of large audio files.
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