openai-whisper

Name: openai-whisper
Availability: InStock
Author: FlexasaurusRex

Transcribe and translate local audio files using the Whisper CLI.

16|1|Updated Feb 23, 2026

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

Ready to run

npx skills add https://github.com/Flexasaurusrex/OpenPaw --skill openai-whisper-flexasaurusrex

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a way to transcribe audio files into text directly on your local machine, without needing to send data to an external API or requiring an API key.

Core Features & Use Cases

Local Transcription: Transcribe audio files (MP3, M4A, etc.) into text format.
Translation: Translate audio from various languages into English text.
Use Case: You have a recorded meeting or a voice memo and need a quick, private transcript. Use this Skill to convert the audio to text locally.

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 an audio file locally without an API key?▼

Local speech-to-text transcription can be performed directly on your machine using the Whisper CLI. It converts audio files like MP3 or M4A into text format without sending data to an external API or requiring an API key.

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

Yes, local speech-to-text translation supports translating audio from various languages into English text. The Whisper CLI processes the audio file locally to generate the translated English output.

Do I need to install the Whisper binary to use local transcription?▼

Yes, local speech-to-text transcription requires the Whisper binary to be installed and configured on your local system. The Skill leverages this CLI tool to process audio files and generate text output.

How do I balance speed and accuracy when transcribing audio?▼

You can balance speed and accuracy in local speech-to-text transcription by selecting a specific Whisper model. The Skill allows you to choose your model, such as the medium model, to manage the trade-off between processing speed and transcription accuracy.

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

Local speech-to-text transcription supports various audio formats, including MP3 and M4A. You can specify the path to your audio file and the Whisper CLI will process it to output a text file.

Is local speech-to-text transcription suitable for private meeting recordings?▼

Local speech-to-text transcription is ideal for private voice memos or recorded meetings. Because the audio is processed directly on your local machine, the data remains private without needing to be sent to an external API.