openai-whisper

Transcribe local audio files to text using the Whisper CLI.

Updated Dec 6, 2016

Search Tags:#transcription #whisper #local #privacy #command-line #speech-to-text

Ready to run

npx skills add https://github.com/majunbao/learn --skill openai-whisper-majunbao

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/majunbao/learn/tree/main/openclaw_tags/openclaw-2026.3.2/skills/openai-whisper
Command: npx skills add https://github.com/majunbao/learn --skill openai-whisper-majunbao

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Local, offline transcription of speech without needing an API key or online services, preserving privacy.

Core Features & Use Cases

Privacy-preserving transcription on-device without internet.
Supports Whisper models and outputs in TXT, SRT, or VTT formats for offline pipelines.
Use cases include transcribing interviews, lectures, and meetings while keeping data on-device.

Quick Start

Transcribe a local audio file using whisper, for example whisper /path/audio.mp3 --model medium --output_format txt.

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 to text locally without an internet connection?▼

You can transcribe audio locally by running the Whisper CLI command, such as whisper /path/audio.mp3, to process speech into text directly on your device without internet access.

What audio transcription output formats are supported by the Whisper CLI?▼

The Whisper CLI supports TXT, SRT, and VTT transcription output formats. You can specify your desired format using the --output_format flag to integrate transcribed speech into offline pipelines.

Do I need an API key to run speech-to-text transcription on-device?▼

No, an API key is not required for on-device speech-to-text. Whisper performs local transcription offline, allowing you to process audio privately without needing API keys or external online services.

Can I batch process media files for offline transcription in privacy-sensitive environments?▼

Yes, Whisper supports batch processing of media files for offline transcription in privacy-sensitive environments. All data remains on-device, making it ideal for transcribing interviews, lectures, and meetings securely.

How do I select a specific transcription model when converting speech to text?▼

To select a specific transcription model when converting speech to text, use the --model flag in your Whisper CLI command, such as specifying --model medium to balance accuracy and processing speed.

What is the best way to transcribe meetings while keeping data on-device?▼

The best way to transcribe meetings while keeping data on-device is using local Whisper speech-to-text. It processes audio files offline, ensuring privacy without sending your recorded meeting data to external API servers.