openai-whisper

Convert local audio files to text using the Whisper CLI.

Updated May 27, 2026
One-click install
npx skills add https://github.com/RuifengFu/agent-skills --skill openai-whisper-ruifengfu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/RuifengFu/agent-skills/tree/main/hermes/openclaw-imports/openai-whisper
Command: npx skills add https://github.com/RuifengFu/agent-skills --skill openai-whisper-ruifengfu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transcribing audio locally without the need for an API key, reducing costs and eliminating subscription barriers.

Core Features & Use Cases

  • Local Transcription: Converts audio to text without sending data over the network.
  • Flexibility in Model Size: Supports different model sizes to balance between speed and accuracy.
  • Use Case: Transcribe long interviews, lectures, or podcasts without the overhead of a server connection.

Quick Start

To transcribe 'example.wav' using the Whisper model 'small':

  • whisper example.wav --model small --output_format txt --output_dir .whisper_results

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 to text locally without an API key?

To transcribe audio to text locally without an API key, use the Whisper CLI to process audio files offline. This eliminates subscription barriers and network reliance by converting private content directly on your machine.

Can I use Whisper CLI for transcribing long interviews and podcasts offline?

Yes, you can use Whisper CLI for transcribing long interviews and podcasts offline. It processes local audio files without a server connection, targeting low resource overhead for extended personal content conversion.

How do I balance speed and accuracy when converting speech to text with Whisper?

You can balance speed and accuracy when converting speech to text by selecting different model sizes in Whisper. The CLI supports various models from the Whisper suite, allowing you to adjust based on your resource overhead.

Does local audio transcription without network reliance keep my private content secure?

Local audio transcription without network reliance secures private content by ensuring data is never sent over the network. The Whisper CLI converts audio to text entirely offline, prioritizing privacy for personal use.

What is the best way to convert local audio files to text using Whisper models?

The best way to convert local audio files to text using Whisper models is executing the Whisper CLI command with your target audio file, specifying the model size and output format to generate text files locally.