To process loan applications, consumer lending companies rely on information in the applicant’s salary slips. It’s essential to accurately identify and understand pertinent data related to income and deductions to arrive at judicious lending decisions.
Here, the principal challenge is to tackle the diversity of payslips—their layout, format, and terminology vary significantly across companies. Manual data extraction from such documents is error-prone, cumbersome, and time-consuming.
The inefficient process is thus unsuitable for financial institutions handling thousands of applications every day.
Modernising salary slip processing is imperative to capitalise on the ever-growing personal credit requirements. Financial businesses need transformational approaches to fulfil market expectations and achieve higher efficiency, profitability, and market share.
Use Cases
Achieve Unmatched Precisions
Achieve near-100% accuracy in identifying and extracting labels and corresponding values
Be Prepared to Accept Any Document
Process payslips containing images, text, or a blend of both. Effortlessly handle vast layout variations
Boost Processing Speed and Efficiency
Process payslips containing images, text, or a blend of both. Effortlessly handle vast layout variations
Extraction of 25+ Key Value Pairs
Company name and logo, employee name, PAN, PF number, month, year of salaries, various earning and deduction details, take-home pay etc
Seamless Integration
API for seamless integration with existing banking applications. JSON, XML, CSV interfaces
Secure Implementation
Meet applicable regulatory and InfoSec needs, on-premise deployment support
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