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openai-whisper

Transcribe and translate audio files locally using the Whisper CLI.

Updated Feb 11, 2026
Search Tags:#translation#transcription#whisper#audio#local#speech-to-text
One-click install
npx skills add https://github.com/storyclaw-official/storyclaw-assistant --skill openai-whisper-storyclaw-official
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/storyclaw-official/storyclaw-assistant/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/storyclaw-official/storyclaw-assistant --skill openai-whisper-storyclaw-official

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 without relying on external APIs or sending data to the cloud.

Core Features & Use Cases

  • Local Transcription: Transcribe audio files directly on your machine using the Whisper CLI.
  • Multiple Languages: Supports transcription in various languages.
  • Translation: Can translate audio from other languages into English text.
  • Use Case: You need to transcribe a meeting recording stored on your computer for later reference, and you want to ensure the audio data remains private.

Quick Start

Use whisper to transcribe the audio file located at /path/to/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 an audio file locally without sending data to the cloud?▼

To transcribe audio locally, you can use this Skill to run the Whisper CLI directly on your machine, converting spoken audio files into written text without relying on external APIs.

Can I translate audio recordings from other languages into English text?▼

Yes, you can translate audio from other languages into English text by running the Whisper CLI locally, which processes the spoken content and outputs the translated English written text.

Does local speech-to-text transcription require any specific setup or dependencies?▼

Local speech-to-text transcription requires the whisper binary to be installed and accessible in your system's PATH before you can use this Skill to process audio files.

What is the best way to transcribe a meeting recording stored on my computer privately?▼

The best way to transcribe a meeting recording privately is using local speech-to-text processing, which keeps your audio data entirely on your machine without transmitting it to external servers.

How do I specify the model and output format when transcribing audio with Whisper?▼

You can specify the model, such as the medium model, and request the output result as a text file when running the whisper command to transcribe your audio file locally.

Are there limitations to using local speech-to-text for audio transcription?▼

Local speech-to-text transcription is limited by the whisper binary installed in your system's PATH, meaning processing occurs entirely on your local hardware without cloud-based API support.

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