Data Extraction

Line Item Classification: Automate the Line Item Accounting Process Post feature image

Line Item Classification: Automate the Line Item Accounting Process

Document Data Capture: A Complete Guide Post feature image

Document Data Capture: A Complete Guide

Checkbox Detection with Machine Learning and Computer Vision Post feature image

Checkbox Detection with Machine Learning and Computer Vision

Extract tables from PDF to Excel

How to Convert PDF Tables to Excel: Automated Methods Guide

What is Information Extraction? (A Detailed Guide)

Google Document AI: Streamlining Document Management

Google Document AI for Advanced Document Processing in 2024

Data Extraction, Automation, and Digital Transformation via HITL Post feature image

Data Extraction, Automation, and Digital Transformation via HITL

A Comprehensive Guide to OCR with RPA and Document Understanding Post feature image

A Comprehensive Guide to OCR with RPA and Document Understanding

ID card digitization and information extraction

ID Card Digitization and Information Extraction Using Deep Learning

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.

How to extract data from ACORD forms Post feature image

How to extract data from ACORD forms

OCR passport

How do you scan passports and ID cards using OCR?

How to use Named-Entity Recognition (NER) for Information Extraction Post feature image

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 ...