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openai-whisper

Transcribes and translates audio files locally using the Whisper CLI.

1|1|Updated Feb 19, 2026
Search Tags:#media#transcription#whisper#audio#local#speech-to-text
One-click install
npx skills add https://github.com/Dbillionaer/wholesaile --skill openai-whisper-dbillionaer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/Dbillionaer/wholesaile/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/Dbillionaer/wholesaile --skill openai-whisper-dbillionaer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables local, API-free speech-to-text transcription of audio files, making audio data accessible and searchable without relying on external services.

Core Features & Use Cases

  • Local Transcription: Transcribes audio files directly on your machine using the Whisper model.
  • Translation: Can translate audio from various languages into English.
  • Use Case: Transcribe a meeting recording to generate a text transcript for easy reference and searching.

Quick Start

Use whisper to transcribe the audio file located at /path/to/meeting.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 recording locally without using an external API?▼

You can perform local speech-to-text transcription by running the Whisper binary on your machine. This allows you to transcribe audio files directly without relying on external services, requiring only the whisper binary to be installed and configured.

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

Yes, local speech-to-text translation can convert spoken audio from various languages into English text. By running the Whisper model locally, you can process multilingual audio files and generate English transcripts without needing an external translation API.

Do I need an API key or external service to generate subtitles from audio files?▼

No, you do not need an API key because local transcription operates entirely offline using the installed Whisper binary. This makes audio data accessible and searchable directly on your machine without sending data to external services.

How do I transcribe a meeting recording using the medium model?▼

To transcribe a meeting recording, you use the Whisper CLI to process the audio file at a specified path. You can select the medium model during execution and output the transcription result as a text file for easy reference and searching.

What are the limitations of local speech-to-text transcription?▼

Local speech-to-text transcription requires the whisper binary to be installed and configured for local model execution on your machine. Processing audio files locally relies entirely on your hardware resources, meaning performance depends on your system's computational capacity.

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