openai-whisper

Transcribe local audio files to text using the OpenAI Whisper CLI.

20|7|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/kaivyy/kabot --skill openai-whisper-kaivyy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/kaivyy/kabot/tree/main/kabot/skills/openai-whisper
Command: npx skills add https://github.com/kaivyy/kabot --skill openai-whisper-kaivyy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a local, privacy-focused solution for converting spoken audio into written text, eliminating the need for cloud-based APIs and associated costs or data privacy concerns.

Core Features & Use Cases

  • Local Transcription: Transcribe audio files directly on your machine using the Whisper model.
  • Multiple Formats: Supports various audio input formats and can output transcriptions in plain text or subtitle formats (like SRT).
  • Use Case: Quickly transcribe meeting recordings, voice notes, or interviews without uploading sensitive audio data to external services.

Quick Start

Use whisper to transcribe the audio file located at /path/to/your/audio.mp3 using the medium model and output the result as a text file.

Frequently Asked Questions about openai-whisper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transcribe audio files locally without uploading to a cloud API?

Local speech-to-text transcription processes your audio files directly on your machine using the Whisper CLI, eliminating cloud API costs and data privacy concerns.

Can I generate SRT subtitles from my audio recordings?

Yes, local speech-to-text transcription supports outputting transcriptions in plain text or subtitle formats like SRT, allowing you to create subtitles from audio files.

Do I need the Whisper binary installed to perform local transcription?

Yes, local speech-to-text transcription requires the Whisper binary to be installed and configured on your local system to process audio files and generate text outputs.

What audio formats are supported for local speech-to-text transcription?

Local speech-to-text transcription handles various audio input formats, allowing you to transcribe meeting recordings, voice notes, or interviews directly on your device.

Can I choose a specific transcription model for accuracy or speed?

Yes, local speech-to-text transcription supports different transcription models, such as the medium model, allowing you to balance accuracy and processing speed.