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openai-whisper

Transcribe audio locally into text using the Whisper CLI without an API key.

1|1|Updated Jan 22, 2026
Search Tags:#cli#translation#transcription#whisper#audio#local#speech-to-text
One-click install
npx skills add https://github.com/kelinfoxy/EZ-Homelab --skill openai-whisper-kelinfoxy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/kelinfoxy/EZ-Homelab/tree/main/docker-compose/ez-assistant/skills/openai-whisper
Command: npx skills add https://github.com/kelinfoxy/EZ-Homelab --skill openai-whisper-kelinfoxy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Transcribe audio locally using the Whisper CLI without API keys, enabling private processing of media files.

Core Features & Use Cases

  • Local transcription and translation with model selection for speed or accuracy.
  • Works offline on personal machines for podcasts, interviews, and meetings.

Quick Start

Transcribe an audio file by choosing a model and running the whisper CLI on your machine.

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 an API key?▼

You can transcribe audio locally without an API key by using the Whisper CLI to process media files directly on your personal machine, ensuring private offline transcription of podcasts, meetings, and voice notes.

Can I use local speech-to-text for translating voice notes offline?▼

Local speech-to-text supports translating voice notes offline by running the Whisper CLI on your personal machine, allowing you to select specific models to balance translation speed and accuracy without external API usage.

What is the best way to run transcription workflows for podcasts on my own machine?▼

The best way to run transcription workflows for podcasts on your own machine is using the Whisper CLI, which loads local models to provide private, offline text output with configurable formatting controls.

Does local transcription with the Whisper CLI require any external dependencies?▼

Local transcription with the Whisper CLI requires no external dependencies or API keys, as it operates entirely offline on personal machines by loading local models to convert speech-to-text privately.

How do I choose a model for local speech-to-text processing?▼

You choose a model for local speech-to-text processing by specifying your preference in the Whisper CLI options, allowing you to select between different local models to optimize for either transcription speed or accuracy.

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