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Yoavv1.0.0
OpenClaw YouTube Transcript
Extract transcripts and captions from any YouTube video URL using yt-dlp — no audio processing or AI models required.
Yoavv1.0.0ProductivityOpen SourceAutomationCLIDeveloper Tool
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npx clawhub@latest install openclaw-youtube-transcript24.1kDownloads
104Current Installs
1All-time Installs
v1.0.0Version
Mar 5, 2026Updated
Requirements
Telemetry Opt-Out(optional)
OpenClaw YouTube Transcript Skill Overview
OpenClaw YouTube Transcript fetches subtitles and captions directly from YouTube videos using yt-dlp, converting spoken content into plain text without any audio processing or local ML models. Simply provide a YouTube URL and receive a full transcript — supporting both manual captions and YouTube's auto-generated subtitles. Built for OpenClaw agents, it integrates naturally into workflows that need to summarize, analyze, or quote video content.
How to Use It
Step 1: Run in your terminal or install this skill on MyClaw
npx clawhub@latest install openclaw-youtube-transcriptor
Click the Install button at the top of this page for one-click setup
When to Use OpenClaw YouTube Transcript
Best Fit
- You want to get a full text transcript of a YouTube video without watching it.
- You need to summarize, analyze, or extract quotes from a YouTube video programmatically.
- You want to save captions or subtitles from a video to a file for later use.
- You need transcripts in a specific language (e.g.
en,es,fr) where captions are available.
When Not to Use
- The YouTube video has no captions or auto-generated subtitles — this skill cannot process raw audio.
- You need transcription of non-YouTube video sources (local files, other platforms).
Key Features
Caption-based extraction — no audio processing
Transcripts are fetched directly from YouTube's subtitle/caption tracks via yt-dlp, meaning no speech-to-text models, no audio downloads, and no GPU required.
Manual & auto-generated subtitle support
Works with both creator-uploaded captions and YouTube's automatically generated subtitles, maximising the range of videos that can be transcribed.
Language selection
Use the --language flag to specify a subtitle language code (e.g. en, es, fr), defaulting to English when not specified.
File output option
Transcripts can be printed to stdout for immediate use, or saved to a file with --output transcript.txt for downstream processing.
Use Cases
Video summarisation
Transcribe a YouTube video first, then pass the text to an LLM to produce a concise summary — without sitting through the full video.
Content research and quoting
Extract the full spoken content of a lecture, interview, or tutorial so you can search for specific statements or pull accurate quotes.
Saving captions to file
Archive subtitles from a video to a local .txt file for reference, translation, or offline analysis using the --output flag.
Requirements
yt-dlpCLI (required) — Must be installed before first use. Install viabrew install yt-dlp(macOS) orapt install yt-dlp(Linux).python3(required) — Used to run the transcription script.
Connecting to VM...
npx clawhub@latest install openclaw-youtube-transcript24.1kDownloads
104Current Installs
1All-time Installs
v1.0.0Version
Mar 5, 2026Updated
Requirements
Telemetry Opt-Out(optional)
FAQ
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