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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
}

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.

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": "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
  }
}

​
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

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

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