whisper-arabic

Transcribe Arabic audio to text using OpenAI Whisper.

13|4|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/Moshe-ship/hurmoz --skill whisper-arabic-moshe-ship
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: whisper-arabic
Source: https://github.com/Moshe-ship/hurmoz/tree/main/whisper-arabic
Command: npx skills add https://github.com/Moshe-ship/hurmoz --skill whisper-arabic-moshe-ship

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill makes it easy to convert Arabic speech into written text, enabling fast transcription of audio meetings, lectures, podcasts, and video captions.

Core Features & Use Cases

  • Arabic transcription: Transcribes Arabic audio to text using Whisper with adjustable model sizes and optional timestamps.

  • Video-to-audio prep: Extracts audio from video using FFmpeg when needed before transcription.

  • API integration: Supports OpenAI Whisper API for cloud-based transcription if configured.

  • Use Case: Transcribe a 25-minute Arabic lecture and export the transcript for blog post publication or study notes.

Quick Start

Transcribe an Arabic audio file to text using Whisper.

Frequently Asked Questions about whisper-arabic

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I transcribe Arabic audio to text using Whisper?

You can transcribe Arabic audio to text by processing the file through the Whisper CLI, which supports adjustable model sizes and optional timestamps for meetings, lectures, and podcasts.

Can I extract audio from a video for Arabic transcription?

Yes, you can extract audio from a video for Arabic transcription by utilizing FFmpeg to preprocess the video file before passing the extracted audio to the Whisper model for conversion to text.

Do I need an OpenAI API key to transcribe Arabic speech?

You need an OpenAI API key to reliably operate the Arabic transcription if using the cloud-based Whisper API, though local model processing may be supported depending on your configuration and constraints.

What is the best way to transcribe Arabic lectures for study notes?

The best way to transcribe Arabic lectures for study notes is using Whisper to convert the speech into written text, allowing you to easily export the transcript for blog posts or study materials.

Does Arabic transcription with Whisper support local model processing?

Arabic transcription with Whisper supports local model processing or cloud API depending on your configuration and constraints, requiring the Whisper CLI and FFmpeg for reliable operation.