Auto-Generate YouTube Chapters with Gemini AI & YouTube Data API v3
n8n template #3450Summary
Use templateAuto-Generate YouTube Chapters with AI-Powered Transcript Analysis Overview This workflow uses YouTube Data API v3 and Google Gemini 1.5 Flash AI to automatically generate timestamped chapters for videos by analyzing SRT captions. It enhances viewer navigation, improves SEO , and saves creators time by automating manual tasks. Prerequisites YouTube API Setup Create a Google Cloud Project Go to the Google Cloud Console. Click Select a project > New Project and name it (e.g., "YouTube Chapters Automation") . Enable YouTube Data API v3 Navigate to APIs & Services > Library. Search for "YouTube Data API v3" and click Enable . Configure OAuth Consent Screen Go to APIs & Services > OAuth
Hand off to your agent
Prompt
Help me set up the n8n workflow "Auto-Generate YouTube Chapters with Gemini AI & YouTube Data API v3" (https://n8n.io/workflows/3450). It uses: HTTP Request, YouTube, Basic LLM Chain, Structured Output Parser, Google Gemini Chat Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.
Paste into Claude Code and it will do the rest.
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