“INFORMATION EXTRACTION FROM UNSTRUCTURED DATA”

Abstract

In today’s digital age, the digitization of paper documents like invoices and receipts has taken on more significance. Nevertheless, manually entering data from these papers can take a lot of time and be prone to mistakes, which causes inefficiencies and drives up expenses for enterprises. To solve this issue, we created a software platform that automates the process of collecting important data from scanned documents using deep learning technology, more specifically the LayoutLM architecture. Users can upload their scanned papers in bulk to our platform and choose which fields, including date, merchant name, and total amount, they want to extract. The technology is scalable and can manage high document volumes while preserving precision and effectiveness.The user-friendly interface makes it easy for users to upload and extract information from their scanned documents. Our platform offers significant benefits, including increased efficiency, accuracy, and cost savings, and has the potential to transform the way businesses handle physical documents. In this project, we will provide an overview of our software platform, including the technology behind it, its key features, and its potential applications.