OCR systems driven by Artificial Intelligence may be used to conduct document validity checks, secure client acquisition, and optimize company processes.

Find out how an accurate, adaptive and multi-lingual receipt OCR API engine works!

Hyperautomation is an evolution of existing automation methods that may yield stronger results in the future when properly implemented in the company.

Every company is searching for a competitive advantage when conducting its business processes.

There’s a huge potential in the domain of vital information extraction and summarization of scientific papers that I believe is under-researched.

The best way to turn the majority of documents into structured data is to use a next generation of powerful, flexible templates that find data in a document

Manual processing of data (overviews, summaries,study reports) is significantly slowed down and inefficient.AI-driven handwritten text recognition is a solution

A look at how improving the healthcare insurance data capture system will improve through OCR and AI card scan.

To collect the information from the images, you do not have to write it down manually. Instead of that, you can use image-to-text technology.

Creating your wrapper for Tesseract, which is several times faster than the popular PyTesseract.

In this article, I will try to explain basic ideas on how to create your own OCR service for free, using python, fastAPI, tesseract, redis, celery and docker.

You will find out how we at inDrive currently handle regular vehicle verifications. Every month, we ask our users to take a picture of their car.

OCR solutions don't work — at least when it comes to complex documents. Learn how you can supercharge OCR tools wqith AI to handle any document

Discover how the Line Text Scanner app improves text processing for tabular data, especially on receipts and tables.