AI - Powered Document Intelligence in Insurance: Building Vendor - Free, Open - Source OCR Systems to Eliminate Operational Bottlenecks

Archana Subramanian

Abstract: The insurance industry, particularly in life and annuities sectors, processes millions of image - based documents annually. Traditionally, these processes have relied heavily on manual indexing and proprietary vendor tools, leading to operational inefficiencies, high costs, data security concerns, and limited agility. This paper presents the development of a homegrown AI - powered image processing framework built using open - source tools. By leveraging technologies such as Tesseract OCR, OpenNLP, and OpenCV, insurance providers can fully automate document classification, text extraction, and metadata tagging without relying on external vendors. The solution reduces manual effort, improves compliance, accelerates throughput, and lowers operational overhead, setting a precedent for scalable and secure document processing in the insurance industry.

Keywords: Insurance, vendor tools, AI powered, OCR, Document Scanning

How to Cite?: Archana Subramanian, "AI - Powered Document Intelligence in Insurance: Building Vendor - Free, Open - Source OCR Systems to Eliminate Operational Bottlenecks", Volume 14 Issue 5, May 2025, International Journal of Science and Research (IJSR), Pages: 812-814, https://www.ijsr.net/getabstract.php?paperid=SR25513013837, DOI: https://dx.doi.org/10.21275/SR25513013837