Everything in Extraction Basic — plus per-field confidence scores, validation rules, and guardrails that flag ambiguous extractions. Built for fintech, banking, insurance, and any workflow where a wrong field costs more than the API call.
Every extracted field returns a confidence between 0.00 and 1.00. Your code can route low-confidence fields to human review.
Built-in validators — GSTIN format, IFSC check digit, Aadhaar VID checksum, PAN structure, IBAN. Wrong format → flagged, not returned silently.
Cross-field consistency checks — invoice total matches sum of line items; date is plausible; bank statement balances reconcile. Anomalies surfaced.
{
"invoice_number": {
"value": "INV-2026-0017",
"confidence": 0.99,
"validation": "passed"
},
"vendor_gstin": {
"value": "27AAAAA0000A1Z5",
"confidence": 0.94,
"validation": "passed",
"check_digit": "verified"
},
"total_amount": {
"value": 12450.00,
"confidence": 0.97,
"validation": "passed",
"reconciles_with_line_items": true
},
"guardrails": {
"all_passed": true,
"warnings": []
}
}
KYC + bank statement extraction for underwriting. False positives = bad loans.
CKYC pre-fill where wrong account number means failed transfers.
Medical bill processing where wrong amount routes wrong settlement.
High-value invoice processing where wrong amount = bad payment.
GST invoice extraction where wrong GSTIN = wrong ITC claim.
Diagnosis + procedure code extraction for insurance reimbursement.
Premium over Extract Basic — for the confidence scores, validation, and guardrails. If you're routing extracted data into any system where wrong values cost real money, Pro pays for itself fast. Pricing shown in your local currency — change country in the top-right to switch.