> ## Documentation Index > Fetch the complete documentation index at: https://developers.argosidentity.com/llms.txt > Use this file to discover all available pages before exploring further. # Medical Invoices > Extract structured data from various document types using specialized AI models. # Medical Invoices Template The Medical Invoices template extracts structured data from medical bills and healthcare invoices, including patient information, medical services, costs, and billing details. ## Template Features Extracts the following information from medical invoices: * Patient information and demographics * Medical provider details * Billing information and payment terms * Medical services and procedures * Insurance coverage and patient responsibility * Diagnosis codes and medical terminology ## Usage Example ```json theme={null} { "fileExtension": "pdf", "docuType": "InvoiceMedical", "fileData": "base64-encoded-medical-invoice-data" } ``` ## Response Format The template returns structured medical invoice data including: ### Patient Information * **Patient Name**: Full name of the patient * **Patient ID**: Unique patient identifier * **Date of Birth**: Patient's birth date * **Contact Information**: Phone number and address ### Medical Provider Details * **Provider Name**: Hospital, clinic, or medical facility * **Provider ID**: Unique provider identifier * **Address**: Complete provider address * **Contact Information**: Phone and email ### Billing Information * **Invoice Number**: Unique invoice identifier * **Service Date**: Date of medical services * **Due Date**: Payment deadline * **Total Amount**: Total cost of services * **Insurance Coverage**: Amount covered by insurance * **Patient Responsibility**: Amount patient must pay ### Medical Services * **Service Description**: Medical procedures performed * **CPT Codes**: Current Procedural Terminology codes * **Service Amount**: Cost of individual services * **Diagnosis Codes**: ICD-10 diagnosis codes ## Sample Response ```json theme={null} { "status": "success", "data": { "document": { "patientInfo": { "name": "John Smith", "patientId": "P12345", "dateOfBirth": "1985-03-15", "contactNumber": "+1-555-0123" }, "medicalProvider": { "name": "City General Hospital", "providerId": "H789", "address": "123 Medical Center Dr, City, State 12345" }, "billingDetails": { "invoiceNumber": "INV-2024-001", "serviceDate": "2024-01-15", "dueDate": "2024-02-15", "totalAmount": 1250.00, "insuranceCoverage": 1000.00, "patientResponsibility": 250.00 }, "medicalServices": [ { "service": "Cardiology Consultation", "code": "99204", "amount": 350.00 }, { "service": "EKG Test", "code": "93000", "amount": 150.00 }, { "service": "Blood Work", "code": "80048", "amount": 750.00 } ] }, "confidence": 0.95 } } ``` ## Supported Medical Invoice Types * Hospital Bills * Doctor's Office Invoices * Laboratory Test Bills * Imaging Service Invoices * Pharmacy Bills * Dental Invoices * Specialist Consultation Bills * Emergency Room Bills * Outpatient Procedure Bills * Medical Equipment Rental Invoices ## OpenAPI ````yaml POST /v1/textify/analyzer openapi: 3.1.0 info: title: Textify API description: >- The Textify API section enables users to analyze files based on their extension and document type. By providing the base64 encoded data of the file to be analyzed, users can retrieve valuable insights and information. version: 1.0.0 servers: - url: https://textify-api.argosidentity.com description: Production server security: [] paths: /v1/textify/analyzer: post: summary: Analyze Document description: >- Analyze a document based on its extension and document type to extract structured information. operationId: analyzeDocument requestBody: required: true content: application/json: schema: type: object required: - fileExtension - docuType - fileData properties: fileExtension: type: string description: >- The file extension of the document to be analyzed. Must be one of the supported formats. enum: - PDF - TIFF - JPG - PNG docuType: type: string description: >- The type of document to be analyzed. This determines the extraction model and data structure used for analysis. **Supported Document Types:** - **InvoiceMedical**: Medical invoices and bills from healthcare providers, hospitals, clinics, and medical facilities. Extracts patient information, medical services, costs, and billing details. - **BusinessRegistration**: Official business registration documents, corporate certificates, and company formation papers. Extracts business name, registration number, business type, and address information. - **InvoiceGeneral**: Standard commercial invoices from businesses and service providers. Extracts invoice number, customer details, items/services, and payment information. - **MedicalObservation**: Medical reports, patient records, and clinical observation documents. Extracts patient data, medical findings, diagnosis, and treatment information. - **Contract**: Legal contracts, agreements, and binding documents between parties. Extracts contract terms, parties involved, dates, and legal obligations. - **ArrivalNotice**: Shipping and logistics arrival notifications, delivery confirmations. Extracts shipment details, arrival dates, and delivery information. - **BillofLading**: Transportation documents for cargo and freight shipments. Extracts shipping details, cargo information, and transport terms. - **Jobapplication**: Employment applications, resumes, and job-related documents. Extracts applicant information, qualifications, and employment history. - **BalanceCertificate_KR**: Korean bank balance certificates and financial statements. Extracts account information, balance details, and banking data. - **ProofOfAddress**: Address verification documents, utility bills, and residence certificates. Extracts address information and verification details. enum: - InvoiceMedical - BusinessRegistration - InvoiceGeneral - MedicalObservation - Contract - ArrivalNotice - BillofLading - Jobapplication - BalanceCertificate_KR - ProofOfAddress fileData: type: string description: >- The base64 encoded data of the file to be analyzed. The file should be encoded without line breaks or additional formatting. examples: medical-invoice: summary: Medical Invoice Example value: fileExtension: PDF docuType: InvoiceMedical fileData: base64-encoded-file-data business-registration: summary: Business Registration Example value: fileExtension: JPG docuType: BusinessRegistration fileData: base64-encoded-file-data responses: '200': description: Successful analysis content: application/json: schema: type: object properties: status: type: string description: >- The status of the analysis operation. Returns 'success' when the document analysis is completed successfully. example: success data: type: object description: Extracted structured data from the document properties: patientName: type: string description: >- Full name of the patient as extracted from the medical document hospitalName: type: string description: >- Name of the hospital or medical facility where the services were provided totalAmount: type: number description: Total amount of the medical bill in the local currency services: type: array description: List of medical services provided to the patient items: type: object properties: service: type: string description: >- Name or description of the medical service provided amount: type: number description: >- Cost of the individual service in the local currency example: patientName: John Doe hospitalName: City General Hospital totalAmount: 1500 services: - service: Consultation amount: 200 - service: Lab Test amount: 300 confidence: type: number description: >- Confidence score of the extraction, ranging from 0.0 to 1.0. Higher values indicate more reliable extraction results. example: 0.95 example: status: success data: patientName: John Doe hospitalName: City General Hospital totalAmount: 1500 services: - service: Consultation amount: 200 - service: Lab Test amount: 300 confidence: 0.95 examples: medical-invoice-response: summary: Medical Invoice Response description: >- Response for medical invoice analysis with patient details and service breakdown value: status: success data: patientName: John Doe hospitalName: City General Hospital totalAmount: 1500 services: - service: Consultation amount: 200 - service: Lab Test amount: 300 confidence: 0.95 business-registration-response: summary: Business Registration Response description: >- Response for business registration document analysis with company information value: status: success data: businessName: ABC Corporation registrationNumber: '12345678' businessType: Limited Liability Company address: 123 Business St, Seoul, Korea confidence: 0.92 general-invoice-response: summary: General Invoice Response description: >- Response for general invoice analysis with customer and item details value: status: success data: invoiceNumber: INV-2024-001 customerName: Jane Smith totalAmount: 2500 items: - item: Web Development amount: 2000 - item: Consultation amount: 500 confidence: 0.88 '400': description: >- Bad request - The request contains invalid parameters or malformed data content: application/json: schema: type: object properties: error: type: string description: Error code or message describing the specific issue example: Invalid file extension '401': description: Unauthorized - The API key is missing, invalid, or has expired content: application/json: schema: type: object properties: error: type: string description: Authentication error message example: Invalid API key '500': description: >- Internal server error - An unexpected error occurred during document processing content: application/json: schema: type: object properties: error: type: string description: Server error message indicating the processing failure example: Processing failed security: - apiKeyAuth: [] components: securitySchemes: apiKeyAuth: type: apiKey in: header name: x-api-key ````