openai-whisper

Transcribe and translate audio files locally using the Whisper CLI.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/darblex/price-compare-israel --skill openai-whisper-darblex
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/darblex/price-compare-israel/tree/main/workspace/skills/openai-whisper
Command: npx skills add https://github.com/darblex/price-compare-israel --skill openai-whisper-darblex

SYSTEM DOCUMENTATION & REQUIREMENTS

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 requiring an API key.

Core Features & Use Cases

  • Local Transcription: Transcribe audio files directly on your machine.
  • Translation: Translate audio from various languages into English text.
  • Use Case: You need to transcribe a confidential meeting recording without sending the audio to a third-party service. Use this Skill to process the audio file locally.

Quick Start

Use whisper to transcribe the audio file located at /path/to/your/audio.mp3 and save the output as text.

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 using an external API?

To transcribe audio locally, you can use this Skill to process your audio files directly on your machine via the Whisper CLI, converting spoken audio into written text without relying on external APIs or requiring an API key.

Can I translate spoken audio from another language into English text locally?

Yes, you can perform local translation using the Whisper CLI. This Skill processes audio files containing various languages and directly translates the spoken content into English text on your machine.

Do I need an API key to perform speech-to-text transcription?

No, you do not need an API key for speech-to-text transcription with this Skill. It provides a local, privacy-focused solution by running the Whisper CLI directly on your machine, ensuring no audio is sent to third-party services.

What are the requirements for local speech-to-text processing?

Local speech-to-text processing requires the Whisper CLI binary to be installed and accessible in your system's PATH. Once configured, the Skill can directly process audio files for transcription or translation tasks.

Is local audio transcription suitable for processing confidential meeting recordings?

Yes, local audio transcription is ideal for confidential meeting recordings. By using the Whisper CLI directly on your machine, the audio file is processed locally without sending sensitive data to external third-party services.