Leverage the power of technology to extract crucial information from structured
and unstructured data templates
Intelligent Text Extractor (ITE) is a computer vision-based solution for OCR using deep learning algorithms. The solution helps recognize and extract printed and handwritten text from scanned documents. It can recognize structured, semi-structured and unstructured documents and can automatically classify different page formats. Moreover, it supports documents in multiple languages and input formats such as images and pdf documents.
The advantage of ITE is its flexibility to choose the entire recognition, extraction, and validation workflow solution or just a REST API based recognition while providing for extraction integration to existing application. The higher accuracy levels on extractions by use of ensemble of recognition algorithms, and validation logic to check type of text and its format is another unique feature built not this solution.