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openai-whisper

Transcribes audio files to text locally using the whisper CLI.

5.5k|641|Updated May 29, 2020
Search Tags:#cli#transcription#audio#local#privacy#speech-to-text
One-click install
npx skills add https://github.com/the-open-agent/openagent --skill openai-whisper-the-open-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/the-open-agent/openagent/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/the-open-agent/openagent --skill openai-whisper-the-open-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires whisper, and includes scripts (resource) components.

What problem does it solve?

Transcribes speech from audio files without relying on external APIs, ensuring privacy and cost-efficiency.

Core Features & Use Cases

  • Local speech-to-text conversion: Transcribes audio files directly on your machine, eliminating dependency on online services.
  • Language translation and transcription: Supports translating audio content and generating text outputs in various formats, suitable for media transcription, accessibility, and content creation.
  • Use Case: Convert recorded interviews or podcasts into editable text files for analysis or publishing, using just a command line instruction.

Quick Start

Use the whisper skill to transcribe an audio file named 'speech.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 audio files locally without relying on external APIs?▼

You can transcribe audio files locally by executing the whisper CLI to convert speech to text directly on your machine. This approach ensures privacy and cost-efficiency by eliminating dependency on online services and requiring no API key.

Do I need an API key to run speech-to-text conversion on my own machine?▼

No API key is needed to run speech-to-text conversion locally. The process executes the whisper binary stored in your user cache directory, ensuring that your audio data remains completely private and secure on your own machine.

Can I translate audio content into text formats using local transcription?▼

Yes, local transcription supports language translation and generating text outputs in various formats. You can convert recorded interviews or podcasts into editable text files for analysis, accessibility, or publishing using a command line instruction.

What's the best way to convert recorded podcasts into editable text files?▼

The best way to convert recorded podcasts into editable text files is using a local speech-to-text CLI tool. By executing the whisper binary, you can process media transcription directly on your machine without uploading audio to external services.

Are there limitations to local transcription compared to online speech-to-text services?▼

Local transcription requires the whisper binary to be installed and accesses models stored in the user cache directory. While it ensures privacy and no API key is needed, users must ensure their local hardware can support the processing load for audio conversion tasks.

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