Credit Bureau

CRIF Credit Report Extraction

Extract credit scores, account summaries, and payment history from CRIF HighMark reports instantly. Automate loan underwriting with structured data ready for your decisioning engine.

Try CRIF Demo

Why Teams Struggle

PDF Complexity

CRIF reports are dense multi-page PDFs with tables, summaries, and nested data. Manual extraction is error-prone.

Underwriting Delays

Loan officers spend hours reading credit reports. Applicants wait. Conversion drops.

Manual Risk Assessment

Copying scores and account data into spreadsheets for analysis. Slow, inconsistent, and doesn't scale.

Complete Credit Report Extraction

Every data point underwriters need—extracted and structured for automated decisioning.

Credit Score

CRIF HighMark score with score range and risk category.

ScoreScore RangeRisk CategoryScore Date

Applicant Details

Name, PAN, date of birth, and contact information from report header.

NamePAN NumberDOBAddressPhone

Credit Accounts

All active and closed accounts with lender details and status.

Account TypeLenderSanctioned AmountOutstandingStatus

Payment History

Month-by-month payment status and DPD (Days Past Due) tracking.

Payment StatusDPDOverdue AmountPayment Date

Instant Score Extraction

742

CRIF HighMark Score

Active Accounts

₹12.5L

Total Outstanding

Overdue

CRIF Extraction Output

Structured data ready for your ERP, RPA, or database

{
  "detected_document_type": "crif_credit_report",
  "is_expected_document": true,
  "pages": 8,
  "data": {
    "name": "Rahul Kumar",
    "score": "742",
    "report_date": "2025-01-15",
    "pan_number": "ABCDE1234F",
    "credit_accounts": "5 Active, 2 Closed"
  }
}

Automated Loan Underwriting

Receive CRIF PDF upload

DocXtract Extract data

Decision Engine Apply rules

Approve/Reject Instant decision

Who Uses CRIF Extraction

Banks

Loan origination, credit cards

NBFCs

Personal loans, vehicle finance

Fintech

Digital lending, BNPL

HFCs

Home loan underwriting

Business Impact

Instant score extraction — credit score and risk category in seconds
Automated decisioning — feed data directly to your rules engine
Reduce TAT — loan decisions in minutes, not days
Consistency — same extraction logic across all applications
Audit trail — every extraction logged with confidence scores