Automated KYC Verification BOT.
Abstract— Automated KYC verification plays a vital role inenabling secure digital services by ensuring accurate andefficient identity validation. However, manual verification ofAadhaar and PAN documents is time-consuming, error-prone,and inefficient when processing large volumes of customerdata. This paper presents an Automated KYC Verification Botusing RPA and OCR technologies, designed to automaticallyextract identity information from uploaded documents andvalidate it against structured customer datasets. The systememploys UiPath for robotic process automation, where OCRconverts document images into machine-readable text,followed by automated data matching and rule-based decisionmaking. Based on verification results, the system generatesapproval or rejection status and sends automated emailnotifications to customers. The proposed solution reducesmanual effort, improves verification accuracy, andsignificantly accelerates the KYC process. This workdemonstrates how integrating RPA and OCR technologies canenhance efficiency, reliability, and scalability in modern digitalKYC workflows.
Authors
- Mrs. T. Divya, Ms. K. Priyanga Sri, Ms. R. Jackulin Clara Subiksha, Ms. M. Vinothini
Institutions
- Madurai Kamaraj University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-09
- DOI
- https://doi.org/10.5281/zenodo.20608848
- Primary Topic
- Robotic Process Automation Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00