Job Application Template

Extract structured data from various document types using specialized AI models.

POST /v1/textify/analyzer

cURL

medical-invoice

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"
}
'

200

medical-invoice-response

{
  "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
}

The Job Application template extracts structured data from employment applications, resumes, and job-related documents, including applicant information, qualifications, and employment history.

Template Features

Extracts the following information from job applications:

• Applicant personal information and contact details
• Position and salary expectations
• Educational background and degrees
• Work experience and employment history
• Skills and certifications
• References and recommendations
• Cover letter content and key points

Usage Example

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

Response Format

The template returns structured job application data including:

Applicant Information

• Personal Details: Name, email, phone, address
• LinkedIn Profile: Professional social media presence
• Contact Information: Multiple contact methods

Position Information

• Job Title: Position being applied for
• Department: Company department
• Location: Job location and requirements
• Salary Expectation: Expected compensation range

Education Background

• Degrees: Academic qualifications earned
• Institutions: Universities and colleges attended
• Graduation Years: Completion dates
• GPA: Academic performance metrics

Work Experience

• Company Names: Previous employers
• Job Titles: Positions held
• Duration: Employment periods
• Responsibilities: Key job duties and achievements
• Accomplishments: Measurable results and contributions

Skills and Qualifications

• Technical Skills: Programming languages, software, tools
• Soft Skills: Communication, leadership, teamwork
• Certifications: Professional certifications and licenses
• Languages: Spoken and written language proficiency

References

• Reference Names: Professional references
• Titles: Reference job titles
• Companies: Reference employers
• Contact Information: Reference contact details

Sample Response

{
  "status": "success",
  "data": {
    "document": {
      "applicantInfo": {
        "name": "Jennifer Wilson",
        "email": "[e-mail]",
        "phone": "[phone]",
        "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": "[phone]"
        }
      ]
    },
    "confidence": 0.94
  }
}

Supported Job Application Types

• Professional Resumes
• Employment Applications
• Cover Letters
• Curriculum Vitae (CV)
• Academic Job Applications
• Government Job Applications
• Internship Applications
• Freelance Proposals
• Consulting Proposals
• Executive Resumes

Authorizations

x-api-key · string · header · required

Body

application/json

fileExtension · enum<string> · required

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

Available options: PDF, TIFF, JPG, PNG

docuType · enum<string> · required

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.

Available options: InvoiceMedical, BusinessRegistration, InvoiceGeneral, MedicalObservation, Contract, ArrivalNotice, BillofLading, Jobapplication, BalanceCertificate_KR, ProofOfAddress

fileData · string · required

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

Response

200

application/json

Successful analysis

status · string

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

Example:

"success"

data · object

Extracted structured data from the document

Show child attributes

Example:

{
  "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.

Example:

0.95