Extraction with guardrails.
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.
Three premium capabilities
Per-field confidence scores
Every extracted field returns a confidence between 0.00 and 1.00. Your code can route low-confidence fields to human review.
Validation rules
Built-in validators, GSTIN format, IFSC check digit, Aadhaar VID checksum, PAN structure, IBAN. Wrong format → flagged, not returned silently.
Guardrails
Cross-field consistency checks, invoice total matches sum of line items; date is plausible; bank statement balances reconcile. Anomalies surfaced.
Built for production decision-making
{
"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": []
}
}Domains where wrong fields cost real money
Fintech lending
KYC + bank statement extraction for underwriting. False positives = bad loans.
Banking onboarding
CKYC pre-fill where wrong account number means failed transfers.
Insurance claims
Medical bill processing where wrong amount routes wrong settlement.
AP automation (enterprise)
High-value invoice processing where wrong amount = bad payment.
Tax / accounting
GST invoice extraction where wrong GSTIN = wrong ITC claim.
Healthcare billing
Diagnosis + procedure code extraction for insurance reimbursement.
Flat per-page rate
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.