New Omni documentation is now available — policy-driven document verification and API reference. Explore Omni → · Custom Theme for KYC liveform: Learn more →
New Omni documentation is now available — policy-driven document verification and API reference. Explore Omni → · Custom Theme for KYC liveform: Learn more →
Extract structured data from various document types using specialized AI models.
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
}The Medical Observation Records template extracts structured data from medical reports, patient records, and clinical observation documents, including patient data, medical findings, diagnosis, and treatment information.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.
{
"fileExtension": "pdf",
"docuType": "MedicalObservation",
"fileData": "base64-encoded-medical-observation-data"
}
{
"status": "success",
"data": {
"document": {
"patientInfo": {
"name": "Michael Brown",
"patientId": "P67890",
"dateOfBirth": "1978-11-22",
"gender": "Male"
},
"medicalProvider": {
"name": "Dr. Emily Davis",
"specialty": "Cardiology",
"licenseNumber": "MD-12345",
"institution": "Heart Care Medical Center"
},
"observationDetails": {
"date": "2024-01-20",
"time": "14:30",
"duration": "45 minutes"
},
"clinicalFindings": {
"chiefComplaint": "Chest pain and shortness of breath",
"vitalSigns": {
"bloodPressure": "140/90 mmHg",
"heartRate": "85 bpm",
"temperature": "98.6°F",
"oxygenSaturation": "95%"
},
"physicalExamination": "Patient appears anxious, mild diaphoresis, no cyanosis",
"diagnosticTests": [
"EKG - Normal sinus rhythm",
"Chest X-ray - Clear lung fields",
"Troponin levels - Within normal limits"
]
},
"assessment": "Atypical chest pain, likely musculoskeletal in origin",
"plan": [
"Continue current medications",
"Follow up in 1 week",
"Return if symptoms worsen"
]
},
"confidence": 0.93
}
}
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, 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.
Successful analysis
The status of the analysis operation. Returns 'success' when the document analysis is completed successfully.
"success"
Extracted structured data from the document
Show child attributes
{
"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
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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
}