openai-whisper

Transcribe and translate local audio files into text or SRT subtitles using the Whisper CLI.

Updated Feb 12, 2026
One-click install
npx skills add https://github.com/sentientsprite/nemo-agent --skill openai-whisper-sentientsprite
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/sentientsprite/nemo-agent/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/sentientsprite/nemo-agent --skill openai-whisper-sentientsprite

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a local, privacy-focused solution for converting audio files into 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 content into different languages.
  • Use Case: Transcribe a recorded meeting or a voice memo into a text document for easy searching and editing.

Quick Start

Use whisper to transcribe the audio file named 'meeting_notes.mp3' into 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 MP3 audio file to text locally?

Local speech-to-text transcription converts MP3 files into text using the Whisper CLI. You can process audio files directly on your machine to output text documents without relying on external APIs.

Do I need an API key to translate audio content into text?

No API key is required for audio translation. This local speech-to-text solution processes audio files directly on your machine using the Whisper CLI, ensuring privacy without external API dependencies.

Can I generate SRT subtitles from an M4A voice memo?

Yes, you can generate SRT subtitles from M4A voice memos. Local speech-to-text transcription using the Whisper CLI supports converting audio files into both plain text and SRT subtitle formats.

What is required to run local speech-to-text transcription?

Local speech-to-text transcription requires the Whisper binary to be installed and accessible in your system's PATH. Once set up, you can process audio files directly on your machine without external API dependencies.

What is the best way to transcribe recorded meetings without uploading them?

The best way to transcribe recorded meetings without uploading is using local speech-to-text transcription. The Whisper CLI processes audio files directly on your machine, ensuring privacy without external API dependencies.

Does local audio transcription work with the Whisper CLI for all audio formats?

Local audio transcription works with the Whisper CLI for formats such as MP3 and M4A. It processes these audio files locally to generate text or SRT subtitle outputs without requiring external APIs.