How Hyper Automation is Helping OCR Evolve? from isabella's blog

The use of optical character recognition (OCR) to transform text images into digital text has been around for years. However, the process is often slow and tedious, as each image must be manually converted. Hyper automation is a new technology helping OCR evolve by automating the conversion process. This not only saves time but also ensures accuracy and consistency.

Introduction: what is hyper-automation?

Hyper-automation involves computers and automates the ocr automation process by converting text images into digital text. This is done through a conversion process that combines artificial intelligence, deep learning and computer vision to convert photographs into digital text.

The benefits of hyper-automation

·         Improves speed

·         Improved accuracy

·         Enables OCR on older data

·         Supports more languages and alphabets

How hyper-automation is helping OCR evolve

Hyper-automation is helping OCR evolve by automating the conversion process. This not only saves time but also ensures accuracy and consistency. In addition, hyper-automation can convert text on photographs, images and scanned documents. This not only improves the speed of the conversion process but also helps convert more data in a shorter time period.

The challenges of hyper-automation

Hyper-automation has been tested in real-world scenarios and proved very useful in automating various processes. However, some challenges need to be addressed, such as the lack of standards and the need for data quality checks.

The future of hyper-automation

The future of hyper-automation can be predicted by looking at the trends and developments that are currently taking place. For example, the development of more advanced machine learning algorithms will help in creating better results for conversion.