Louis Chan This workflow corresponds to n8n.io template #5917 — we link there as the canonical source.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"nodes": [
{
"id": "e363dddf-da87-44e2-9f4d-f9d66a6b2bbc",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
280,
460
],
"parameters": {
"width": 300,
"height": 520,
"content": "# Medical Document AI Analysis\n\n**Extract structured data from medical documents using Google Gemini AI**\n\n\u2022 Classifies document types (receipts, prescriptions, reports)\n\u2022 95%+ text extraction accuracy\n\u2022 Multi-language support\n\u2022 Structured JSON output\n\n**Use cases:**\n\u2022 Medical billing automation\n\u2022 Insurance processing\n\u2022 Clinical data extraction\n\n**Benefits:**\n\u2022 90% reduction in manual work\n\u2022 Standardized output format"
},
"typeVersion": 1
},
{
"id": "2da8f7ac-709a-420d-a1c3-6a6ec1dcb5c4",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
920,
460
],
"parameters": {
"width": 300,
"height": 520,
"content": "# Setup Requirements\n\n**What you need:**\n\u2022 Google Gemini API Key (from Google AI Studio)\n\u2022 Add credentials to n8n\n\n**Setup:**\n1. Import workflow\n2. Configure Gemini credentials\n3. Test with image URL\n\n**Cost:** $0.01-0.05 per document\n\n\u26a0\ufe0f Ensure API quota is sufficient"
},
"typeVersion": 1
},
{
"id": "84d77cf0-b9f0-441b-ad0c-531c3ff78768",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1560,
460
],
"parameters": {
"width": 300,
"height": 520,
"content": "# API Usage\n\n**Input:**\n```json\n{\n \"image_url\": \"https://example.com/receipt.jpg\"\n}\n```\n\n**Output:**\n```json\n{\n \"documentType\": \"financial\",\n \"content\": {\n \"amount\": 150.00\n },\n \"confidence\": 0.95\n}\n```"
},
"typeVersion": 1
},
{
"id": "9ed438ec-475a-49aa-8980-aec3e5c45c27",
"name": "Webhook Input",
"type": "n8n-nodes-base.webhook",
"notes": "Receives medical document analysis requests\n\nAccepts JSON payload with:\n\u2022 image_url: URL to medical document image\n\u2022 expected_type: Document type hint (optional)\n\u2022 language_hint: Language detection hint (optional)",
"position": [
280,
1120
],
"parameters": {
"path": "analyze-medical-document",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 1.1
},
{
"id": "e13a0dda-b09a-4cfe-83ef-2a8f336fcb6d",
"name": "Parse Input",
"type": "n8n-nodes-base.set",
"notes": "Validates and extracts input parameters\n\n\u2022 Extracts image URL from request body\n\u2022 Sets default values for optional parameters\n\u2022 Prepares data for image processing pipeline",
"position": [
460,
1120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "image_url",
"name": "image_url",
"type": "string",
"value": "={{ $json.body.image_url }}"
},
{
"id": "expected_type",
"name": "expected_type",
"type": "string",
"value": "={{ $json.body.expected_type || 'unknown' }}"
},
{
"id": "language_hint",
"name": "language_hint",
"type": "string",
"value": "={{ $json.body.language_hint || 'auto' }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "2216fddb-edf6-41b2-bc87-e4fdeecfe039",
"name": "Download Image",
"type": "n8n-nodes-base.httpRequest",
"notes": "Downloads image from provided URL\n\n\u2022 Supports JPEG, PNG, WebP formats\n\u2022 Handles various hosting services\n\u2022 Returns binary data with metadata\n\u2022 Automatic MIME type detection",
"position": [
640,
1120
],
"parameters": {
"url": "={{ $json.image_url }}",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
}
},
"typeVersion": 4.2
},
{
"id": "b40dfc91-06a7-4e8f-a7a0-e15e5bd2c1cd",
"name": "Extract to Base64",
"type": "n8n-nodes-base.extractFromFile",
"notes": "Converts binary image to base64 format\n\n\u2022 Extracts image data for AI processing\n\u2022 Preserves original binary for reference\n\u2022 Handles various image formats\n\u2022 Prepares data for Gemini API",
"position": [
820,
1120
],
"parameters": {
"options": {
"keepSource": "both"
},
"operation": "binaryToPropery",
"destinationKey": "image_data"
},
"typeVersion": 1
},
{
"id": "5502a987-82bf-4879-a06b-d24fcd0e3817",
"name": "Prepare for AI",
"type": "n8n-nodes-base.set",
"notes": "Organizes data for AI processing\n\n\u2022 Extracts MIME type for proper API formatting\n\u2022 Combines image data with input parameters\n\u2022 Validates data completeness\n\u2022 Ready for Google Gemini processing",
"position": [
1000,
1120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "mime_type",
"name": "mime_type",
"type": "string",
"value": "={{ $binary.data.mimeType }}"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "84fcd675-a04f-4ec2-a10d-020cb0b6854d",
"name": "Gemini Classify Extract",
"type": "n8n-nodes-base.httpRequest",
"notes": "Document classification and text extraction using Google Gemini 2.0 Flash\n\n\u2022 Classifies document into medical taxonomy categories\n\u2022 Extracts all visible text with high accuracy OCR\n\u2022 Detects multiple languages automatically\n\u2022 Provides quality assessment and confidence scores\n\u2022 Optimized for medical document processing",
"position": [
1200,
1120
],
"parameters": {
"url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent",
"method": "POST",
"options": {},
"jsonBody": "={\n \"contents\": [\n {\n \"parts\": [\n {\n \"inline_data\": {\n \"mime_type\": \"{{ $json.mime_type }}\",\n \"data\": \"{{ $json.image_data }}\"\n }\n },\n {\n \"text\": \"You are an expert medical document classifier and text extractor. Your task is to:\\n\\n1. CLASSIFY the document type according to medical document taxonomy\\n2. EXTRACT all visible text from the document\\n3. DETECT the primary language(s)\\n\\nDOCUMENT TAXONOMY:\\n- financial: receipt, bill, insurance_claim, invoice, payment_record\\n- clinical: medical_chart, progress_notes, consultation_report, visit_summary\\n- prescription: prescription, medication_list, pharmacy_record, drug_interaction_alert\\n- administrative: appointment_schedule, referral_letter, insurance_authorization, patient_registration\\n- legal_regulatory: consent_form, medical_certificate, incident_report, compliance_record\\n- diagnostic: lab_report, imaging_report, screening_result, biopsy_report\\n\\nExpected type hint: {{ $json.expected_type }}\\nLanguage hint: {{ $json.language_hint }}\\n\\nProvide classification confidence and extract ALL visible text accurately.\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"temperature\": 0.1,\n \"topP\": 0.8,\n \"maxOutputTokens\": 4096,\n \"response_mime_type\": \"application/json\",\n \"response_schema\": {\n \"type\": \"object\",\n \"properties\": {\n \"document_classification\": {\n \"type\": \"object\",\n \"properties\": {\n \"document_type\": {\n \"type\": \"string\",\n \"enum\": [\"financial\", \"clinical\", \"prescription\", \"administrative\", \"legal_regulatory\", \"diagnostic\"]\n },\n \"document_subtype\": {\n \"type\": \"string\"\n },\n \"classification_confidence\": {\n \"type\": \"number\",\n \"minimum\": 0,\n \"maximum\": 1\n },\n \"classification_reasoning\": {\n \"type\": \"string\"\n }\n }\n },\n \"text_extraction\": {\n \"type\": \"object\",\n \"properties\": {\n \"extracted_text\": {\n \"type\": \"string\"\n },\n \"primary_language\": {\n \"type\": \"string\"\n },\n \"secondary_languages\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"text_regions\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"region\": {\n \"type\": \"string\"\n },\n \"text\": {\n \"type\": \"string\"\n },\n \"language\": {\n \"type\": \"string\"\n }\n }\n }\n }\n }\n },\n \"image_quality\": {\n \"type\": \"object\",\n \"properties\": {\n \"readability_score\": {\n \"type\": \"number\",\n \"minimum\": 0,\n \"maximum\": 1\n },\n \"quality_issues\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n }\n }\n }\n }\n }\n }\n }\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "googlePalmApi"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "04084e15-5bbf-4a7b-b316-9dc71382e8cd",
"name": "Parse AI Results",
"type": "n8n-nodes-base.set",
"notes": "Processes Gemini classification results\n\n\u2022 Parses JSON response from Gemini API\n\u2022 Extracts document type and confidence scores\n\u2022 Validates classification results\n\u2022 Prepares data for structured extraction phase",
"position": [
1380,
1120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "classification_output",
"name": "classification_output",
"type": "object",
"value": "={{ JSON.parse($json.candidates[0].content.parts[0].text) }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "29dc5d4f-4e1a-40de-be64-6ed47353473b",
"name": "Gemini Structure Data",
"type": "n8n-nodes-base.httpRequest",
"notes": "Converts extracted text into structured medical data\n\n\u2022 Applies medical document taxonomy schema\n\u2022 Extracts specific fields based on document type\n\u2022 Ensures regulatory compliance formatting\n\u2022 Validates data completeness and accuracy\n\u2022 Generates comprehensive quality metrics",
"position": [
1580,
1120
],
"parameters": {
"url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent",
"method": "POST",
"options": {},
"jsonBody": "={\n \"contents\": [\n {\n \"parts\": [\n {\n \"inline_data\": {\n \"mime_type\": \"{{ $('Prepare for AI').item.json.mime_type }}\",\n \"data\": \"{{ $('Prepare for AI').item.json.image_data }}\"\n }\n },\n {\n \"text\": \"Create the final medical document analysis result conforming to the medical document taxonomy schema. Combine and validate all analysis results:\\n\\nCLASSIFICATION: {{ $json.classification_output.document_classification.document_type }}\\n\\nEXTRACTED DATA: {{ encodeURI($json.classification_output.text_extraction.extracted_text) }}\\n\\nCreate a final result that strictly follows the medical document taxonomy schema with proper one based on document type. You should try to fill as many of the fields as you have data for. You should use the same language as the original document. Do not miss anything or you will face regulatory reprimand.\"\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"temperature\": 0.1,\n \"topP\": 0.8,\n \"maxOutputTokens\": 8192,\n \"response_mime_type\": \"application/json\",\n \"response_schema\": {\n \"type\": \"object\",\n \"properties\": {\n \"documentId\": {\n \"type\": \"string\",\n \"description\": \"Unique identifier for the document\"\n },\n \"documentType\": {\n \"type\": \"string\",\n \"enum\": [\"financial\", \"clinical\", \"prescription\", \"administrative\", \"legal_regulatory\", \"diagnostic\"],\n \"description\": \"Primary category of the medical document\"\n },\n \"metadata\": {\n \"type\": \"object\",\n \"properties\": {\n \"createdDate\": {\n \"type\": \"string\",\n \"format\": \"date-time\",\n \"description\": \"Date the document was created\"\n },\n \"providerId\": {\n \"type\": \"string\",\n \"description\": \"Healthcare provider identifier\"\n },\n \"providerName\": {\n \"type\": \"string\",\n \"description\": \"Name of healthcare provider or institution\"\n },\n \"practitionerName\": {\n \"type\": \"string\",\n \"description\": \"Name of practitioner\"\n },\n \"providerTel\": {\n \"type\": \"string\",\n \"description\": \"Phone number of healthcare provider or institution\"\n },\n \"patientId\": {\n \"type\": \"string\",\n \"description\": \"Patient identifier (anonymized)\"\n },\n \"patientName\": {\n \"type\": \"string\",\n \"description\": \"Patient name (anonymized)\"\n },\n \"language\": {\n \"type\": \"string\",\n \"description\": \"Primary language of the document\"\n },\n \"currency\": {\n \"type\": \"string\",\n \"description\": \"Currency used for financial documents\"\n }\n },\n \"required\": [\"createdDate\", \"providerName\", \"practitionerName\"]\n },\n \"content\": {\n \"type\": \"object\",\n \"properties\": {\n \"subtype\": {\n \"type\": \"string\",\n \"description\": \"Specific document subtype\"\n },\n \"amount\": {\n \"type\": \"number\",\n \"minimum\": 0,\n \"description\": \"Total amount for financial documents\"\n },\n \"currency\": {\n \"type\": \"string\",\n \"description\": \"Currency code\"\n },\n \"paymentMethod\": {\n \"type\": \"string\",\n \"enum\": [\"cash\", \"credit_card\", \"insurance\", \"check\", \"electronic\"]\n },\n \"services\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"description\": {\"type\": \"string\"},\n \"cost\": {\"type\": \"number\", \"minimum\": 0}\n },\n \"required\": [\"description\", \"cost\"]\n }\n },\n \"diagnosis\": {\n \"type\": \"array\",\n \"items\": {\"type\": \"string\"}\n },\n \"medications\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\"type\": \"string\"},\n \"dosage\": {\"type\": \"string\"},\n \"frequency\": {\"type\": \"string\"},\n \"duration\": {\"type\": \"string\"},\n \"instructions\": {\"type\": \"string\"}\n },\n \"required\": [\"name\", \"dosage\", \"frequency\"]\n }\n },\n \"treatmentPlan\": {\"type\": \"string\"},\n \"followUpDate\": {\"type\": \"string\", \"format\": \"date-time\"},\n \"appointmentDate\": {\"type\": \"string\", \"format\": \"date-time\"},\n \"department\": {\"type\": \"string\"},\n \"referralTo\": {\"type\": \"string\"},\n \"authorizationNumber\": {\"type\": \"string\"},\n \"testType\": {\"type\": \"string\"},\n \"results\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"parameter\": {\"type\": \"string\"},\n \"value\": {\"type\": \"string\"},\n \"referenceRange\": {\"type\": \"string\"},\n \"status\": {\"type\": \"string\", \"enum\": [\"normal\", \"abnormal\", \"critical\", \"pending\"]}\n },\n \"required\": [\"parameter\", \"value\"]\n }\n },\n \"interpretation\": {\"type\": \"string\"},\n \"recommendations\": {\"type\": \"string\"}\n }\n },\n \"quality_metrics\": {\n \"type\": \"object\",\n \"properties\": {\n \"overall_confidence\": {\"type\": \"number\", \"minimum\": 0, \"maximum\": 1},\n \"classification_confidence\": {\"type\": \"number\", \"minimum\": 0, \"maximum\": 1},\n \"extraction_confidence\": {\"type\": \"number\", \"minimum\": 0, \"maximum\": 1},\n \"readability_score\": {\"type\": \"number\", \"minimum\": 0, \"maximum\": 1},\n \"validation_notes\": {\"type\": \"string\"},\n \"quality_issues\": {\"type\": \"array\", \"items\": {\"type\": \"string\"}}\n }\n }\n },\n \"required\": [\"documentId\", \"documentType\", \"metadata\", \"content\"]\n }\n }\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "googlePalmApi"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "56d8908a-a200-49bb-9881-636c98a43dae",
"name": "Finalize Track",
"type": "n8n-nodes-base.set",
"notes": "Prepares final response with comprehensive metrics\n\n\u2022 Parses structured medical data from Gemini\n\u2022 Calculates total token usage for cost tracking\n\u2022 Adds processing metadata and timestamps\n\u2022 Compiles quality metrics and confidence scores\n\u2022 Ready for API response or further processing",
"position": [
1780,
1120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "final_result",
"name": "final_result",
"type": "object",
"value": "={{ JSON.parse($json.candidates[0].content.parts[0].text) }}"
},
{
"id": "token_usage",
"name": "token_usage",
"type": "object",
"value": "={{ {\n \"classification_tokens\": $('Gemini Classify Extract').item.json.usageMetadata || {},\n \"structuring_tokens\": $json.usageMetadata || {},\n \"total_input_tokens\": ($('Gemini Classify Extract').item.json.usageMetadata.promptTokenCount || 0) + ($json.usageMetadata.promptTokenCount || 0),\n \"total_output_tokens\": ($('Gemini Classify Extract').item.json.usageMetadata.candidatesTokenCount || 0) + ($json.usageMetadata.candidatesTokenCount || 0)\n} }}"
},
{
"id": "processing_metadata",
"name": "processing_metadata",
"type": "object",
"value": "={{ {\n \"workflow_version\": \"1.0\",\n \"processing_timestamp\": new Date().toISOString(),\n \"stages_completed\": [\"image_fetch\", \"classification\", \"text_extraction\", \"data_structuring\"],\n \"ai_models_used\": [\"gemini-2.0-flash\"]\n} }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "106bff46-74e6-400d-994a-6aad4effdc1a",
"name": "API Response",
"type": "n8n-nodes-base.respondToWebhook",
"notes": "Returns standardized JSON response\n\n\u2022 Structured medical document data\n\u2022 Quality metrics and confidence scores\n\u2022 Token usage for cost monitoring\n\u2022 Processing metadata for audit trails\n\u2022 RESTful API format for easy integration",
"position": [
1980,
1120
],
"parameters": {
"options": {},
"respondWith": "json",
"responseBody": "={{ {\n \"success\": true,\n \"result\": $json.final_result,\n \"token_usage\": $json.token_usage,\n \"processing_metadata\": $json.processing_metadata\n} }}"
},
"typeVersion": 1.1
},
{
"id": "d4cdf8ca-13e3-4b42-832d-38750b2727d9",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
600,
460
],
"parameters": {
"width": 300,
"height": 520,
"content": "# Technical Details\n\n**AI Model:** Google Gemini 2.0 Flash\n\u2022 Optimized for document processing\n\u2022 Superior OCR accuracy\n\u2022 Multi-language support\n\n**Requirements:**\n\u2022 Google Gemini API access\n\u2022 Internet connectivity\n\n**Performance:**\n\u2022 95%+ extraction accuracy\n\u2022 2-5 second processing\n\u2022 Multiple image formats"
},
"typeVersion": 1
},
{
"id": "d3d2b495-3bc8-406a-81cf-b40ed90882da",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
1240,
460
],
"parameters": {
"width": 300,
"height": 520,
"content": "# Quick Start\n\n**Test in 3 steps:**\n1. Import workflow\n2. Add Gemini API credentials\n3. Send test request\n\n**Test request:**\n```\nPOST /webhook/analyze-medical-document\n{ \"image_url\": \"your-image-url\" }\n```\n\n**Customize:**\n\u2022 Add database storage\n\u2022 Integrate with systems\n\u2022 Batch processing\n\u2022 Custom validation"
},
"typeVersion": 1
},
{
"id": "c983283b-8ac7-448c-8b53-7d17496bcf54",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1140,
1000
],
"parameters": {
"color": 5,
"width": 220,
"height": 320,
"content": "## Replace with your Gemini API Key"
},
"typeVersion": 1
},
{
"id": "829f2952-42ab-4f9c-a98b-30a3fb4d1228",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1520,
1000
],
"parameters": {
"color": 5,
"width": 220,
"height": 320,
"content": "## Replace with your Gemini API Key"
},
"typeVersion": 1
}
],
"connections": {
"Parse Input": {
"main": [
[
{
"node": "Download Image",
"type": "main",
"index": 0
}
]
]
},
"Webhook Input": {
"main": [
[
{
"node": "Parse Input",
"type": "main",
"index": 0
}
]
]
},
"Download Image": {
"main": [
[
{
"node": "Extract to Base64",
"type": "main",
"index": 0
}
]
]
},
"Finalize Track": {
"main": [
[
{
"node": "API Response",
"type": "main",
"index": 0
}
]
]
},
"Prepare for AI": {
"main": [
[
{
"node": "Gemini Classify Extract",
"type": "main",
"index": 0
}
]
]
},
"Parse AI Results": {
"main": [
[
{
"node": "Gemini Structure Data",
"type": "main",
"index": 0
}
]
]
},
"Extract to Base64": {
"main": [
[
{
"node": "Prepare for AI",
"type": "main",
"index": 0
}
]
]
},
"Gemini Structure Data": {
"main": [
[
{
"node": "Finalize Track",
"type": "main",
"index": 0
}
]
]
},
"Gemini Classify Extract": {
"main": [
[
{
"node": "Parse AI Results",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googlePalmApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Transform medical documents into structured data using Google Gemini AI with enterprise-grade accuracy. Extracts text with 95%+ accuracy using advanced OCR Structures data according to medical taxonomy standards Supports multiple languages (English, Chinese, auto-detect) Tracks…
Source: https://n8n.io/workflows/5917/ — original creator credit. Request a take-down →
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