Automate YouTube Chapters & Posts with AI-Powered n8n Workflow
Automate YouTube Chapters & Posts with AI-Powered n8n Workflow
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Automate YouTube Chapters & Posts with AI-Powered n8n Workflow
Transform Long YouTube Videos into Professional Chapters and Community Posts with One Click
This AI-powered n8n workflow automatically generates YouTube chapters and community posts from any tutorial or how-to video URL. Simply submit your video link with a section search query, and watch as the workflow finds key moments, creates formatted timestamps, writes descriptions, and delivers everything ready to paste directly into YouTube.
What This Workflow Does
- Finds up to 15 section moments per video — WayinVideo's Find Moments API scans your entire tutorial based on your search query and returns timestamped moments with titles and descriptions
- Sorts all moments chronologically — All returned moments are automatically sorted by start time before processing to ensure your chapter list displays in correct viewing order
- Generates formatted chapter timestamps — GPT-4o-mini creates clean 3-6 word chapter titles for every moment with exact MM:SS values, always starting with 0:00 Introduction
- Writes professional content — Automatically generates a 3-4 sentence video description block and a 100-150 word YouTube Community post with full timestamp list embedded
- Saves to Google Sheets — Everything is organized in one row with Status set to "Ready" for immediate copy-paste into YouTube
Use Cases
- YouTube creators publishing long-form tutorial content who need professional chapters without manual video scrubbing
- Educational content teams managing multiple how-to videos and course materials
- Content marketers creating community engagement posts with detailed video breakdowns
- Training departments converting lengthy instructional videos into easily navigable content
Technical Details
Built with n8n nodes including form trigger for video URL submission, HTTP request nodes for WayinVideo API integration, code nodes for timestamp sorting, and Google Sheets connector for output management. The workflow uses GPT-4o-mini for content generation and includes conditional logic with if nodes, wait nodes for API rate limiting, and sticky notes for workflow documentation.
Perfect for n8n users, automation engineers, and content operations teams who want to streamline YouTube video optimization without sacrificing quality or spending hours on manual timestamp creation.
