OPTICAL CHARACTER RECOGNITION FOR ELECTRONIC INVOICES USING AWS SERVICES

Optical Character Recognition is basically

the mechanical or electronic conversion of printed or

handwritten text into machine understandable text. The

complication of Optical Character Recognition in

different conditions remains as relevant as it was in the

past few years. At the present time of automation and

innovations, Keyboarding remains the most common

way of inputting or feeding data into computers. This is

probably the most time consuming and labor-intensive

operation in the industry. Automating the process of

recognition of documents, credit cards, electronic

invoices, and license plates of cars – all of this could help

in saving time for analyzing and processing data. With

the increased research and development of machine

learning, the quality of text recognition is continuously

growing better. Our paper is focused on providing a

brief explanation of the different stages involved in the

process of optical character recognition and through the

proposed application; we aim to automate the process of

extraction of important texts from electronic invoices.

The main goal of the project is to develop a real time

OCR web application with a micro service architecture,

which would help in extracting necessary information

from an invoice.