openai-whisper

Transcribe and translate audio and video files into text or subtitles using the Whisper CLI.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/lemonlqf/openclaw-rtsp --skill openai-whisper-lemonlqf
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openai-whisper
Source: https://github.com/lemonlqf/openclaw-rtsp/tree/main/skills/openai-whisper
Command: npx skills add https://github.com/lemonlqf/openclaw-rtsp --skill openai-whisper-lemonlqf

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a local, privacy-focused solution for converting spoken audio into written text, eliminating the need for cloud-based APIs and associated costs or data concerns.

Core Features & Use Cases

  • Local Transcription: Transcribes audio and video files directly on your machine using the Whisper CLI.
  • Translation: Can translate spoken audio from various languages into English text.
  • Use Case: Transcribe a recorded meeting or a lecture to generate searchable text notes, or translate a foreign language podcast into an SRT subtitle file.

Quick Start

Use the openai-whisper skill to transcribe the audio file 'meeting_recording.mp3' into text.

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 file to text locally without using cloud APIs?

Local speech-to-text transcription can be performed directly on your machine using the Whisper CLI to convert audio and video files into text, eliminating the need for cloud-based APIs and associated data concerns.

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

Yes, audio translation is supported by transcribing spoken audio from various languages and translating it into English text locally without relying on external API connections.

What do I need to install before using local speech-to-text transcription?

Local speech-to-text transcription requires the Whisper binary to be installed and accessible in your system's PATH before you can begin transcribing audio and video files.

Does local transcription work with video files or only audio formats?

Local transcription works with both audio and video files, allowing you to directly convert recorded meetings or lectures into searchable text notes or subtitle formats.

What is the best way to generate SRT subtitles from a foreign language podcast?

The best way to generate SRT subtitles from a foreign language podcast is by using local translation and transcription to process the audio file and output an SRT subtitle format directly.

Are there limitations to processing audio files entirely on my local machine?

Processing audio files locally requires sufficient system resources to run the Whisper CLI, and you must ensure the whisper binary is properly configured in your system's PATH for successful transcription.