Block 1 - Google Gemini Chat Model1
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
- Config choices
- Version 1
This workflow transforms any textbook PDF into a fully interactive quiz — automatically. Users upload a PDF, choose difficulty & number of questions, and the system: Extracts content Generates MCQs...
@n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-uploadtourl.uploadtourl, n8n-nodes-base.gmail, n8n-nodes-base.extractfromfile, n8n-nodes-base.formtrigger, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.code, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jitesh Dugar.
Original n8n.io sourceThis workflow transforms any textbook PDF into a fully interactive quiz — automatically.
Users upload a PDF, choose difficulty & number of questions, and the system:
What it does: Acts as the entry point of the workflow.
How it works:
What it does: Extracts text from the uploaded PDF.
How it works:
What it does: Converts textbook content into MCQs using AI.
How it works:
What it does: Builds a fully interactive quiz webpage.
How it works:
1. JSON Parsing
2. Personalization
3. HTML Generation
4. Interactivity (JavaScript)
Output:
.html fileWhat it does: Uploads the generated quiz and creates a public shareable link.
How it works:
🔥 Why this node is powerful:
👉 UploadToURL - Turn Files into Shareable Links
What it does: Sends the quiz link directly to the user.
How it works:
Result: User receives their interactive quiz instantly 📧
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 | Generate interactive MCQ quizzes from PDF textbooks with Google Gemini, UploadToURL and Gmail |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Document Extraction, Multimodal AI |
| Author | Jitesh Dugar |
| Published | 06 May 2026 |
Use the JSON export at /data/workflows/15512/15512.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.
This workflow transforms any textbook PDF into a fully interactive quiz — automatically. Users upload a PDF, choose difficulty & number of questions, and the system: Extracts content Generates MCQs...
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 Document Extraction, Multimodal AI use case.