openai-whisper

Name: openai-whisper
Availability: InStock
Author: elizaOS

Transcribe audio files locally with the Whisper CLI without API keys.

19.0k|5.6k|Updated Jul 9, 2024

Search Tags:#transcription #whisper #audio processing #local #speech-to-text

Ready to run

npx skills add https://github.com/elizaOS/eliza --skill openai-whisper-elizaos

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/elizaOS/eliza/tree/main/packages/skills/skills/openai-whisper
Command: npx skills add https://github.com/elizaOS/eliza --skill openai-whisper-elizaos

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a local, API-key-free solution for converting spoken audio into written text, making transcription accessible without relying on external services.

Core Features & Use Cases

Local Transcription: Transcribe audio files directly on your machine using the Whisper CLI.
No API Key Required: Eliminates the need for API keys and associated costs or setup.
Use Case: Quickly transcribe meeting recordings, voice notes, or interviews without uploading sensitive audio to a third-party service.

Quick Start

Use whisper to transcribe the audio file located at /path/to/audio.mp3 using the medium model and output the transcription 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 audio files locally without an internet connection?▼

Local speech-to-text transcription can be performed directly on your machine using the Whisper CLI. This approach converts voice recordings into text without requiring an internet connection or API keys.

Do I need an API key to convert speech to text?▼

No API key is required for speech-to-text conversion using this local Whisper CLI approach. It eliminates the need for external services, avoiding associated costs and setup while keeping audio data private on your machine.

What's the best way to transcribe voice recordings and interviews securely?▼

The best way to securely transcribe voice recordings and interviews is local speech-to-text processing. By running the Whisper model directly on your machine, you avoid uploading sensitive audio files to any third-party service.

How do I transcribe an audio file using the Whisper CLI?▼

To transcribe an audio file using the Whisper CLI, specify the audio file path and select a model like medium, then output the transcription as a text file. This local process handles the speech-to-text conversion directly.

Can I use local speech-to-text for transcribing meeting recordings and lectures?▼

Yes, local speech-to-text is applicable for transcribing meeting recordings, voice notes, interviews, and lectures. The Whisper model provides accurate text conversion for these use cases without requiring external services.