OCR Reader is used in many fields like medical, shops, etc. for conversion of data written in physical format into digital form. This project was part of my hackathon where I did this project in a team. This is built using Nanonets OCR API that allows to built OCR models. In this project I worked with Nanonets API, annotated sample images, trained the model and got most accurate predictions based on custom input invoices.
To test this project, doenload n2.py in your desktop and change "YOUR_IMAGE_PATH" on line 5 to your image path located on your computer (For example- "C:\Downloads\131882.jpeg"). Important point- Please input correct image file format like jpeg, jpg, png, etc.