Data Extraction
Data Extraction, Automation and Digital Transformation through Humans in the Loop workflows
Learn about digital transformations, what drives them, how to aid successful transformations, how AI and deep learning can help, the challenges with digitization, the future of work and humans in the loop workflows as a possible solution.
ID Card Digitization and Information Extraction using Deep Learning - A Review
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.
Manual Data Entry - Challenges, Types, and Automation in 2024
Manual data entry process is laden with problems like high error rates, slow turnaround, high paperwork and more. Go digital with AI-OCR based software.
How to use Named-Entity Recognition (NER) for Information Extraction
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 ...
How to use deep learning & OCR for data extraction from meter readings
Submeter reading has been traditionally a manual task. However, it can be easily automated using Deep Learning. It saves time, money and man hours.