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Digitize business cards to Notion database with Gemini Vision OCR

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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.

1. Workflow Overview

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 ...

Best for

  • Document Extraction automation workflows
  • Multimodal AI automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.formtrigger, @n8n/n8n-nodes-langchain.googlegemini, n8n-nodes-base.notion, n8n-nodes-base.code, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by JinPark.

Original n8n.io source

1.1 Workflow description

Title
Digitize business cards to Notion database with Gemini Vision OCR
Workflow name
Digitize business cards to Notion database with Gemini Vision OCR

🧩 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.

🧠 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

🧰 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

💡 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.

🧾 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

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - On form submission

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.3

Block 2 - Analyze image

Type / Role
@n8n/n8n-nodes-langchain.googleGemini - googleGemini
Config choices
Version 1

Block 3 - Create a database page

Type / Role
n8n-nodes-base.notion - notion
Config choices
Version 2.2

Block 4 - Parse to Json

Type / Role
n8n-nodes-base.code - code
Config choices
Version 2

Block 5 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Digitize business cards to Notion database with Gemini Vision OCR
Complexity intermediate
Nodes 5
Categories Document Extraction, Multimodal AI
Author JinPark
Published 02 Oct 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/9180/9180.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Digitize business cards to Notion database with Gemini Vision OCR do?

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 ...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.