Extract structured data from medical documents with Google Gemini AI

How it works Transform medical documents into structured data using Google Gemini AI with enterprise-grade accuracy.

Classifies document types (receipts, prescriptions, lab reports, clinical notes) - Extracts text with 95%+ accuracy using advanced OCR - Structures data according to medical taxonomy standards - Supports multiple languages (English, Chinese, auto-detect) - Tracks processing costs and quality metrics automatically

Set up steps Prerequisites

Google Gemini API key (get from Google AI Studio)

Quick setup

1. Import this workflow template 2. Configure Google Gemini API credentials in n8n 3. Test with a sample medical document URL 4. Deploy your webhook endpoint

Usage Send POST request to your webhook: json { "imageurl": "https://example.com/medical-receipt.jpg", "expectedtype": "financial", "languagehint": "auto" } Get structured response: json{ "success": true, "result": { "documentType": "financial", "metadata": { "providerName": "Dr. Smith Clinic", "createdDate": "2025-01-06", "currency": "USD" }, "content": { "amount": 150.00, "services": [...] }, "qualitymetrics": { "overallconfidence": 0.95 } } }

Use cases Healthcare Organizations