By
Vihar Kurama
Featured post
We will review different deep learning approaches that have been used in the past for this problem, compare the results and look into the latest in the field. We will discuss graph neural networks and how they are being used for digitization.
The problem requires us to create a pipeline that will convert OCR outputs of different kinds of documents to a key-value like structure where keys are all the important fields one might need from, for example, an invoice like - invoice number, name of vendor ...
Submeter reading has been traditionally a manual task. However, it can be easily automated using Deep Learning. It saves time, money and man hours.