Video Transcript for Openclaw

An automated tool for extracting, cleaning, and translating video subtitles into readable text transcripts.

tupleye
v1.0.0
Mar 11, 2026
0
916
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install videotranscript

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install videotranscript 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 Video Transcript?

Video Transcript is a specialized utility within the Openclaw Skills ecosystem designed to bridge the gap between multimedia content and textual data. It enables users to instantly convert video links from major platforms like YouTube and Bilibili into structured text documents, facilitating easier research and content consumption.

The skill excels at processing subtitle tracks by stripping away technical metadata like timestamps and sequence numbers, leaving only the core narrative. For international content, it provides an integrated translation layer, ensuring that non-Chinese videos are accessible through both their original text and a polished Chinese translation.

Video Transcript Use Cases

  • Extracting lecture notes or key information from educational YouTube videos.
  • Converting Bilibili technical tutorials into searchable text documentation.
  • Generating bilingual transcripts for language learning and cross-cultural research.
  • Archiving video content in a lightweight, text-based format for personal knowledge management.

How Video Transcript Works

  1. Subtitle Extraction: The skill utilizes yt-dlp to access and download the embedded subtitle files from the provided video URL.
  2. Text Normalization: It processes the raw subtitle file to remove timestamps, frame indices, and formatting tags, resulting in clean, raw text.
  3. Language Detection & Translation: If the extracted text is not in Chinese, the skill automatically triggers a translation workflow to provide a localized version.
  4. Structured Output: The final result is formatted into a clear template containing the video title, original transcript, and the translated text if applicable.

Video Transcript Setup

To use this component of Openclaw Skills, ensure you have the necessary extraction engine installed on your system:

pip install yt-dlp

Video Transcript Data Schema & Taxonomy

The skill organizes transcript data using a structured textual template to ensure readability:

Section Description
Header Contains the video title enclosed in decorative separators
Original Transcript The cleaned, text-only version of the video subtitles
Chinese Translation A full translation provided for any non-Chinese source material
Metadata The skill identifies the source platform (YouTube/Bilibili) to optimize extraction parameters

Video Transcript Advanced Features

  • Multi-platform support specifically optimized for YouTube and Bilibili URL structures.
  • Automatic bilingual output generation for global content accessibility.
  • Integration-ready workflow that can be hooked into larger AI agent research pipelines.
  • High-fidelity text cleaning that removes noisy subtitle metadata automatically.

SKILL.md


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