In lending operations, Know Your Customer (KYC) verification is a critical step in the loan origination process. Field agents collect multiple physical KYC documents such as identity proofs, address proofs, and income documents, often in different formats and varying quality. These documents must be reviewed and manually entered into the Loan Origination System (LOS), making KYC processing time-consuming, error-prone, and operationally expensive.
As loan volumes increase and regulatory scrutiny intensifies, financial institutions require faster, more accurate KYC document processing. Manual data entry from physical KYC documents delays loan approvals and introduces data inconsistencies. GenAI-powered Loan KYC Document Automation using DocQFact enables financial institutions to automatically scan, extract, and structure KYC data from uploaded documents and seamlessly auto-populate digital LOS forms, significantly reducing turnaround time while improving accuracy and compliance readiness.
Automatically identifies and categorizes uploaded KYC documents including Aadhaar, PAN, voter ID, address proofs, and income documents.
Extracts borrower identity, address, and financial details from KYC documents and converts them into structured, LOS-ready data.
Maps extracted KYC data directly to corresponding Loan Origination System fields, eliminating manual form filling.
Compares data across multiple KYC documents to flag mismatches, missing fields, and inconsistencies.
Creates a structured and searchable KYC document repository to support verification, audits, and downstream loan processes.
Applicant name, date of birth, gender, and photograph extracted from government-issued identity documents.
PAN, Aadhaar number, voter ID, or passport details captured directly from KYC documents.
Current and permanent address, pin code, state, and associated address proof type.
Issue dates, expiry dates, and validity status of submitted KYC documents.
Automated consistency indicators highlighting matches or deviations across multiple KYC documents.
Employer name, occupation, income values, and bank statement indicators where applicable.
Flags unreadable fields, missing documents, or incomplete KYC information requiring follow-up.
Identification of document type (Aadhaar, PAN, utility bill, etc.) and source for each uploaded KYC document.
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