Business Registration Template
Extract structured data from various document types using specialized AI models.
Template Features
Extracts the following information from business registration documents:- Business name and legal entity information
- Registration numbers and identifiers
- Business type and structure
- Registered agent and officers
- Business address and contact information
- Tax identification numbers
- Formation and filing dates
Usage Example
Response Format
The template returns structured business registration data including:Business Information
- Business Name: Official registered business name
- Legal Name: Full legal entity name
- Registration Number: Unique business identifier
- Business Type: LLC, Corporation, Partnership, etc.
- Formation Date: Date business was established
- Status: Active, Inactive, Suspended
Registered Agent
- Agent Name: Name of registered agent
- Agent Address: Complete address of registered agent
- Contact Information: Phone and email
Business Address
- Street Address: Physical business address
- City, State, ZIP: Location details
- Country: Business location country
Tax Information
- EIN: Employer Identification Number
- Tax Classification: Business tax status
- State Tax ID: State-specific tax identifier
Ownership Information
- Owners: List of business owners
- Ownership Percentages: Ownership stakes
- Officer Titles: Management positions
Sample Response
Supported Business Registration Types
- Limited Liability Companies (LLC)
- Corporations (C-Corp, S-Corp)
- Partnerships (General, Limited)
- Sole Proprietorships
- Non-Profit Organizations
- Professional Corporations
- Limited Partnerships
- Business Trusts
- Cooperative Organizations
- Foreign Business Registrations
Authorizations
Body
The file extension of the document to be analyzed. Must be one of the supported formats.
PDF, TIFF, JPG, PNG 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.
InvoiceMedical, BusinessRegistration, InvoiceGeneral, MedicalObservation, Contract, ArrivalNotice, BillofLading, Jobapplication, BalanceCertificate_KR, ProofOfAddress The base64 encoded data of the file to be analyzed. The file should be encoded without line breaks or additional formatting.
Response
Successful analysis
The status of the analysis operation. Returns 'success' when the document analysis is completed successfully.
"success"
Extracted structured data from the document
{
"patientName": "John Doe",
"hospitalName": "City General Hospital",
"totalAmount": 1500,
"services": [
{ "service": "Consultation", "amount": 200 },
{ "service": "Lab Test", "amount": 300 }
]
}Confidence score of the extraction, ranging from 0.0 to 1.0. Higher values indicate more reliable extraction results.
0.95