An automated tool to convert YouTube videos into accurate, timestamped transcripts and structured summaries using AI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install youtube-transcriber-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install youtube-transcriber-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is YouTube Transcriber?
The YouTube Transcriber is a specialized tool designed to bridge the gap between video content and textual data. By leveraging state-of-the-art AI models, this skill automates the extraction of dialogue and narration from any YouTube video. It provides a seamless way for developers to integrate video analysis into their workflows, making it a cornerstone of the Openclaw Skills collection.
Whether you are a researcher needing to document lectures or a content creator looking to repurpose video scripts, this skill handles the heavy lifting of audio extraction and speech-to-text processing. It ensures that valuable information locked in video formats is easily searchable, archivable, and ready for further AI-driven processing.
YouTube Transcriber Use Cases
- Transcribing educational tutorials or lectures for quick review and study notes.
- Generating blog posts or written articles based on existing video content.
- Creating searchable meeting records or podcast transcripts for better documentation.
- Translating video insights into different languages by extracting the source text first.
How YouTube Transcriber Works
- The user inputs a YouTube URL and an optional language preference into the terminal interface.
- The skill utilizes the yt-dlp library to extract and download the high-quality audio track from the video.
- The faster-whisper AI model processes the audio file to generate a high-accuracy transcript with precise timestamps.
- The system automatically formats the raw text into a structured summary, providing a clear overview of the video's content.
YouTube Transcriber Setup
To get started with this skill, ensure you have Python 3.8.0 or higher. You will need to install the core dependencies via your terminal:
pip install yt-dlp faster-whisper
Once installed, you can trigger the transcription process within the environment using the following command syntax:
/youtube-transcribe "https://youtube.com/watch?v=VIDEO_ID" [language]
YouTube Transcriber Data Schema & Taxonomy
The skill organizes transcription data into a structured output format as follows:
| Attribute | Description | Data Type |
|---|---|---|
| URL | The source link of the processed YouTube video | String |
| Language | The detected or specified language code (e.g., en, zh) | String |
| Timestamps | Start and end times for each transcribed segment | Format [0.00s -> 0.00s] |
| Transcript | The converted text extracted from the audio stream | String |
| Summary | A structured overview of the video contents | Markdown |
YouTube Transcriber Advanced Features
- Intelligent automatic language detection for processing global content without manual tagging.
- High-performance transcription using the faster-whisper engine for reduced processing time.
- Timestamp-accurate segments that allow for easy navigation to specific moments in the video.
- Support for multiple language codes including English, Chinese, Japanese, and Korean.
- Integrated summary generation that highlights the core value of the video content within Openclaw Skills.
SKILL.md
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