openai-whisper

Transcribe and translate local audio files using the OpenAI Whisper CLI.

1|Updated Feb 1, 2026

Search Tags:#translation #transcription #whisper #audio processing #local #speech-to-text

Ready to run

npx skills add https://github.com/zkcpku/verdentClaw --skill openai-whisper-zkcpku

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/zkcpku/verdentClaw/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/zkcpku/verdentClaw --skill openai-whisper-zkcpku

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables local speech-to-text transcription of audio files without requiring an API key, making it a private and cost-effective solution.

Core Features & Use Cases

Local Transcription: Transcribe audio files directly on your machine using the Whisper model.
Translation: Translate spoken audio from various languages into English.
Multiple Output Formats: Supports various output formats like TXT, SRT, VTT, and more.
Use Case: Transcribe a meeting recording or a voice memo into a text document for easy reference and searching.

Quick Start

Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model and output the transcription 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 an API key?▼

You can perform local speech-to-text transcription by using the Whisper CLI to process audio files directly on your machine. This approach ensures privacy and eliminates the need for an external API key.

Can I translate spoken audio into English text using local speech-to-text?▼

Yes, local speech-to-text translation supports translating spoken audio from various languages into English. The Whisper CLI handles the translation process directly on your device.

What output formats are supported when transcribing audio recordings?▼

Audio transcription supports multiple output formats including TXT, SRT, and VTT. You can specify the desired format when processing audio files with the Whisper CLI.

Do I need to install the whisper binary before transcribing audio?▼

Yes, local audio transcription requires the whisper binary to be installed and accessible in your system's PATH. This setup is necessary for the CLI to execute speech-to-text processing.

What is the best way to transcribe meeting recordings into a text document?▼

The best way to transcribe meeting recordings is to use local speech-to-text processing with the Whisper CLI. It converts audio files into text documents for easy reference and searching.

Does local speech-to-text work for transcribing lectures and voice memos?▼

Yes, local speech-to-text works for transcribing lectures and voice memos. The Whisper CLI processes these audio recordings locally to generate text, SRT, or VTT documentation.