메인 콘텐츠로 건너뛰기
POST
/
v1
/
textify
/
analyzer
curl --request POST \
  --url https://textify-api.argosidentity.com/v1/textify/analyzer \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "fileExtension": "PDF",
  "docuType": "InvoiceMedical",
  "fileData": "base64-encoded-file-data"
}
'
{
  "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
}

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 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

{
  "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

{
  "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

인증

​
x-api-key
string
header
필수

본문

application/json
​
fileExtension
enum<string>
필수

The file extension of the document to be analyzed. Must be one of the supported formats.

사용 가능한 옵션:
PDF,
TIFF,
JPG,
PNG
​
docuType
enum<string>
필수

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.
사용 가능한 옵션:
InvoiceMedical,
BusinessRegistration,
InvoiceGeneral,
MedicalObservation,
Contract,
ArrivalNotice,
BillofLading,
Jobapplication,
BalanceCertificate_KR,
ProofOfAddress
​
fileData
string
필수

The base64 encoded data of the file to be analyzed. The file should be encoded without line breaks or additional formatting.

응답

Successful analysis

​
status
string

The status of the analysis operation. Returns 'success' when the document analysis is completed successfully.

예시:

"success"

​
data
object

Extracted structured data from the document

예시:
{
  "patientName": "John Doe",
  "hospitalName": "City General Hospital",
  "totalAmount": 1500,
  "services": [
    { "service": "Consultation", "amount": 200 },
    { "service": "Lab Test", "amount": 300 }
  ]
}
​
confidence
number

Confidence score of the extraction, ranging from 0.0 to 1.0. Higher values indicate more reliable extraction results.

예시:

0.95