Templates / Create active learning notes from YouTube videos with Gemini and Notion

Create active learning notes from YouTube videos with Gemini and Notion

Ready for 3.0

by Abelion Lavv · 257 views · created 2026-01-01 · Content Creation, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 16 nodes and runs when someone submits an n8n form (“YouTube to Active Learning Notes”). Along the way it connects YouTube, Google Gemini and Google Gemini Chat Model. It also calls api.notion.com over HTTP.

How it runs

Trigger: When someone submits an n8n form (“YouTube to Active Learning Notes”).

  1. SET - Get YT ID (Edit Fields (Set)): sets 1 field: VIdeoID
  2. YouTube: get (video)
  3. Set - Prepare Video Metadata (Edit Fields (Set)): sets 7 fields: videoId, title, description…
  4. Merge: merges the data from its input branches
  5. HTTP - Get YouTube Audio (HTTP Request): calls an HTTP API
  6. AI Agent: runs an AI agent, with model: Google Gemini Chat Model; memory: Memory - Conversation Buffer; output parser: Output Parser - Structured JSON
  7. HTTP - Download Audio File (HTTP Request): calls an HTTP API
  8. Build Page Structure (Code): runs custom JavaScript code
  9. Set Audio MimeType (Code): runs custom JavaScript code
  10. Create Notion Page (HTTP Request): calls api.notion.com (POST)

…plus 2 more steps. See the full node list below.

Services it uses

YouTubeGoogle GeminiGoogle Gemini Chat Model

HTTP calls to: api.notion.com

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (12)

From the author

What this workflow does Transform YouTube videos into structured Active Learning study sheets using AI. This workflow extracts video metadata, transcribes audio with Google Gemini, applies the ICAP Framework (Interactive, Constructive, Active, Passive) for…

Excerpt from Abelion Lavv's description on n8n.io.

View the original on n8n.io → Check your own copy

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