Block 1 - On form submission
- Type / Role
- n8n-nodes-base.formTrigger - formTrigger
- Config choices
- Version 2.4
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...
n8n-nodes-base.formtrigger, n8n-nodes-base.stickynote, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.if, n8n-nodes-base.merge, n8n-nodes-base.youtube, @n8n/n8n-nodes-langchain.memorybufferwindow
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Abelion Lavv.
Original n8n.io sourceTransform 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 deep learning, and generates micro-goals, Cornell notes, Feynman explanations, and practice tasks—all automatically formatted in Notion.
Perfect for students, educators, and lifelong learners who want to maximize retention from video content.
All configuration points are clearly marked with sticky notes in the workflow.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Create active learning notes from YouTube videos with Gemini and Notion |
|---|---|
| Complexity | advanced |
| Nodes | 22 |
| Categories | Content Creation, AI Summarization |
| Author | Abelion Lavv |
| Published | 01 Jan 2026 |
Use the JSON export at /data/workflows/12372/12372.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
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...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, AI Summarization use case.