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Digitize business cards to Notion database with Gemini Vision OCR

Workflow preview

Digitize business cards to Notion database with Gemini Vision OCR preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

Overview

đź§© Summary

Easily digitize and organize your business cards!
This workflow allows you to upload a business card image, automatically extract contact information using Google Gemini’s OCR & vision model, and save the structured data into a Notion database — no manual typing required.

Perfect for teams or individuals who want to centralize client contact info in Notion after networking events or meetings.


⚙️ How it works

  1. Form Submission

    • Upload a business card image (.jpg, .png, or .jpeg) through an n8n form.
    • Optionally select a category (e.g., Partner, Client, Vendor).
  2. AI-Powered OCR (Google Gemini)

    • The uploaded image is sent to Google Gemini Vision for intelligent text recognition and entity extraction.
    • Gemini returns structured text data such as:
      {
        "Name": "Jung Hyun Park",
        "Position": "Head of Development",
        "Phone": "021231234",
        "Mobile": "0101231234",
        "Email": "[email protected]",
        "Company": "TOV",
        "Address": "6F, Donga Building, 212, Yeoksam-ro, Gangnam-gu, Seoul",
        "Website": "www.tov.com"
      }
      
  3. JSON Parsing & Cleanup

    • The text response from Gemini is cleaned and parsed into a valid JSON object using a Code node.
  4. Save to Notion

    • The parsed data is automatically inserted into your Notion database (Customer Business Cards).
    • Fields such as Name, Email, Phone, Address, and Company are mapped to Notion properties.

đź§  Used Nodes

  • Form Trigger – Captures uploaded business card and category input
  • Google Gemini (Vision) – Extracts contact details from the image
  • Code – Parses Gemini’s output into structured JSON
  • Notion – Saves extracted contact info to your Notion database

📦 Integrations

Service Purpose Node Type
Google Gemini (PaLM) Image-to-text extraction (OCR + structured entity parsing) @n8n/n8n-nodes-langchain.googleGemini
Notion Contact data storage n8n-nodes-base.notion

đź§° Requirements

  • A connected Google Gemini (PaLM) API credential
  • A Notion integration with edit access to your database

🚀 Example Use Cases

  • Digitize stacks of collected business cards after a conference
  • Auto-save new partner contacts to your CRM database in Notion
  • Build a searchable Notion-based contact directory
  • Combine with Notion filters or rollups to manage client relationships

đź’ˇ Tips

  • You can easily extend this workflow by adding an email notification node to confirm successful uploads.
  • For multilingual cards, Gemini Vision handles mixed-language text recognition well.
  • Adjust Gemini model (gemini-1.5-flash or gemini-1.5-pro) based on your accuracy vs. speed needs.

đź§ľ Template Metadata

Field Value
Category AI + Notion + OCR
Difficulty Beginner–Intermediate
Trigger Type Form Submission
Use Case Automate business card digitization
Works with Google Gemini, Notion