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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
}
La plantilla de solicitud de empleo extrae datos estructurados de solicitudes de empleo, currículums y documentos relacionados con el trabajo, incluyendo información del solicitante, cualificaciones e historial laboral.

​
Características de la plantilla

Extrae la siguiente información de solicitudes de empleo:
  • Información personal y datos de contacto del solicitante
  • Puesto y expectativas salariales
  • Formación académica y títulos
  • Experiencia laboral e historial de empleo
  • Habilidades y certificaciones
  • Referencias y recomendaciones
  • Contenido de la carta de presentación y puntos clave

​
Ejemplo de uso

{
  "fileExtension": "pdf",
  "docuType": "Jobapplication",
  "fileData": "base64-encoded-job-application-data"
}

​
Formato de respuesta

La plantilla devuelve datos estructurados de solicitudes de empleo que incluyen:

​
Información del solicitante

  • Personal Details: Nombre, correo electrónico, teléfono, dirección
  • LinkedIn Profile: Presencia profesional en redes sociales
  • Contact Information: Múltiples métodos de contacto

​
Información del puesto

  • Job Title: Puesto al que se postula
  • Department: Departamento de la empresa
  • Location: Ubicación del trabajo y requisitos
  • Salary Expectation: Rango de compensación esperada

​
Formación académica

  • Degrees: Títulos académicos obtenidos
  • Institutions: Universidades y centros educativos
  • Graduation Years: Fechas de finalización
  • GPA: Métricas de rendimiento académico

​
Experiencia laboral

  • Company Names: Empleadores anteriores
  • Job Titles: Puestos desempeñados
  • Duration: Períodos de empleo
  • Responsibilities: Funciones y logros clave del puesto
  • Accomplishments: Resultados medibles y contribuciones

​
Habilidades y cualificaciones

  • Technical Skills: Lenguajes de programación, software, herramientas
  • Soft Skills: Comunicación, liderazgo, trabajo en equipo
  • Certifications: Certificaciones y licencias profesionales
  • Languages: Dominio de idiomas hablados y escritos

​
Referencias

  • Reference Names: Referencias profesionales
  • Titles: Títulos laborales de las referencias
  • Companies: Empleadores de las referencias
  • Contact Information: Datos de contacto de las referencias

​
Respuesta de ejemplo

{
  "status": "success",
  "data": {
    "document": {
      "applicantInfo": {
        "name": "Jennifer Wilson",
        "email": "jennifer.wilson@email.com",
        "phone": "+1-555-0123",
        "address": "123 Career Street, Job City, JC 12345",
        "linkedin": "linkedin.com/in/jenniferwilson"
      },
      "positionApplied": {
        "title": "Senior Marketing Manager",
        "department": "Marketing",
        "location": "New York, NY",
        "salaryExpectation": 85000
      },
      "education": [
        {
          "degree": "Master of Business Administration",
          "institution": "University of Business",
          "graduationYear": 2020,
          "gpa": "3.8"
        },
        {
          "degree": "Bachelor of Arts in Marketing",
          "institution": "State University",
          "graduationYear": 2018,
          "gpa": "3.9"
        }
      ],
      "workExperience": [
        {
          "company": "Marketing Solutions Inc.",
          "position": "Marketing Specialist",
          "duration": "2020-2023",
          "responsibilities": [
            "Developed digital marketing campaigns",
            "Managed social media presence",
            "Increased brand awareness by 40%"
          ]
        },
        {
          "company": "Startup Ventures",
          "position": "Marketing Intern",
          "duration": "2018-2020",
          "responsibilities": [
            "Assisted with market research",
            "Created content for social media",
            "Supported event planning"
          ]
        }
      ],
      "skills": [
        "Digital Marketing",
        "Social Media Management",
        "Google Analytics",
        "Adobe Creative Suite",
        "Project Management"
      ],
      "references": [
        {
          "name": "John Manager",
          "title": "Marketing Director",
          "company": "Marketing Solutions Inc.",
          "phone": "+1-555-9876"
        }
      ]
    },
    "confidence": 0.94
  }
}

​
Tipos de solicitudes de empleo compatibles

  • Currículums profesionales
  • Solicitudes de empleo
  • Cartas de presentación
  • Curriculum Vitae (CV)
  • Solicitudes de empleo académico
  • Solicitudes de empleo gubernamental
  • Solicitudes de pasantía
  • Propuestas freelance
  • Propuestas de consultoría
  • Currículums ejecutivos

Autorizaciones

​
x-api-key
string
header
requerido

Cuerpo

application/json
​
fileExtension
enum<string>
requerido

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

Opciones disponibles:
PDF,
TIFF,
JPG,
PNG
​
docuType
enum<string>
requerido

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.
Opciones disponibles:
InvoiceMedical,
BusinessRegistration,
InvoiceGeneral,
MedicalObservation,
Contract,
ArrivalNotice,
BillofLading,
Jobapplication,
BalanceCertificate_KR,
ProofOfAddress
​
fileData
string
requerido

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

Respuesta

Successful analysis

​
status
string

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

Ejemplo:

"success"

​
data
object

Extracted structured data from the document

Ejemplo:
{
  "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.

Ejemplo:

0.95