NETRA नेत्र for Fintech Companies
Process KYC documents at scale without manual verification bottlenecks
Fintech companies process millions of PAN cards, Aadhaar copies, bank statements, and cheques for KYC, lending, and payments. NETRA extracts and verifies identity and financial data from any Indian document format — at API speed, with 99%+ accuracy.
What challenges do fintech companies face today?
KYC verification bottleneck at scale
Manual KYC document review creates onboarding delays, increases drop-off rates, and does not scale for digital lending or neobanking products with thousands of daily applications.
Bank statement parsing across formats
Indian banks issue statements in dozens of formats — PDFs, scanned copies, password-protected files. Extracting transaction data for underwriting requires format-specific parsers that break with every bank update.
PAN and identity validation errors
Incorrect PAN extraction or mismatched Aadhaar details lead to failed KYC, compliance flags, and rejected loan applications. Manual correction cycles are expensive and slow.
How does NETRA solve this for fintech companies?
Purpose-built capabilities for your industry.
PAN Verification API
Extract PAN number, name, and date of birth from PAN card images. Cross-verify extracted data against the NSDL/UTI database in real time. Flag mismatches, duplicates, and invalid PANs before onboarding.
Bank Statement Extraction
Parse bank statements from 100+ Indian banks. Extract transaction data, account details, and summary information from PDFs, scanned copies, and password-protected files — structured and ready for underwriting models.
Aadhaar (Masked) Processing
Extract data from masked Aadhaar cards and Aadhaar letters in compliance with UIDAI guidelines. NETRA processes only masked Aadhaar, never stores biometric data, and provides extracted fields with confidence scores.
Cheque OCR
Extract account number, IFSC, bank name, payee, amount, and MICR code from cheque images. Support for all major Indian bank cheque formats including handwritten amounts.
What does NETRA look like in practice?
A digital lending platform receives 5,000 loan applications daily, each with PAN card, Aadhaar, and bank statements. Manual KYC review takes 48 hours per application.
NETRA processes all KYC documents in under 10 seconds per application. PAN is verified against NSDL in real time. Bank statements are parsed and fed directly into the underwriting model — reducing onboarding time from 48 hours to 5 minutes.
A neobank needs to parse bank statements from 80 different Indian banks for account aggregation, but each bank has a different PDF format.
NETRA's universal bank statement parser handles all formats automatically. Transaction data is extracted into a standardised schema regardless of the issuing bank, eliminating format-specific parsers.
A payment company processes cheque images for NACH mandates and needs to extract IFSC codes and account numbers from handwritten cheques.
NETRA's cheque OCR extracts all fields including handwritten amounts and payee names. IFSC codes are cross-validated against the RBI database, and flagged if the branch is closed or merged.
A fintech startup's KYC flow has a 30% drop-off because users upload blurry PAN card photos that fail automated verification.
NETRA's PAN extraction handles low-quality images including blurry, tilted, and partially obscured PAN cards. Drop-off rate drops to under 10% as more documents pass automated verification on the first attempt.
NETRA for Fintech Companies — Frequently Asked Questions
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