openai-whisper

Transcribe audio files locally using the Whisper CLI without external API calls.

1|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/Zentin-L/Masterbot --skill openai-whisper-zentin-l
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/Zentin-L/Masterbot/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/Zentin-L/Masterbot --skill openai-whisper-zentin-l

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transcribe audio locally using Whisper CLI without sending data to external services, preserving privacy and reducing latency.

Core Features & Use Cases

  • Local transcription of audio files via the whisper binary
  • Optional translation of audio content
  • Suitable for private meetings, lectures, and personal notes without API keys

Quick Start

Transcribe a local audio file using whisper to generate a text transcript.

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 locally without sending files to external APIs?

To transcribe audio locally without external APIs, this Skill processes audio files directly on your device using the Whisper CLI, ensuring data privacy and reducing network latency.

Do I need to install the whisper binary before using local transcription?

Yes, you must install the whisper binary on your local device before using this Skill, as it relies entirely on this command-line tool to perform audio transcription and translation tasks.

Can I translate audio content while transcribing meetings locally?

Yes, you can translate audio content while transcribing meetings locally, as the Skill supports optional translation tasks alongside standard transcription through the Whisper CLI interface.

How do I transcribe private voice notes using the Whisper CLI?

Transcribe private voice notes by providing your local audio file to the Whisper CLI, which generates a text transcript entirely on your device without requiring external API keys.

What is the best way to handle privacy-conscious audio transcription for lectures?

For privacy-conscious audio transcription of lectures, local processing with Whisper CLI keeps data on your device, avoiding cloud services while supporting selectable transcription models.

What are the limitations of local transcription with the Whisper binary?

Local transcription with the Whisper binary requires sufficient local hardware resources to run models and depends entirely on the prior installation of the CLI tool on the device.