Auto-Generate YouTube Chapters with Gemini AI & YouTube API
Automates timestamped YouTube chapter generation using Gemini AI to analyze SRT captions from videos via YouTube Data API v3, boosting SEO and viewer engagement.
This n8n workflow leverages the YouTube Data API v3 and Google Gemini 1.5 Flash AI to automatically create timestamped chapters for YouTube videos. It starts by fetching video metadata and SRT captions using the provided video ID, then uses AI to analyze the transcript and generate structured, SEO-optimized chapters with timestamps. Finally, it formats the output for easy integration into video descriptions.
Key benefits include significant time savings for content creators by eliminating manual chapter creation, improved video discoverability through better SEO from chapters, and enhanced user experience with easy navigation. It's ideal for YouTubers, marketers, and agencies managing multiple channels, ensuring consistent, high-quality chapter outputs.
Use cases span educational videos, tutorials, podcasts, and long-form content where chapters help retain viewers. Requires YouTube API credentials and Gemini API key setup in n8n. Handles public videos with captions, outputting chapters ready to copy-paste or automate further via API updates.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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