Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns.
In this guide, I’ll walk you through how Tesseract works, why it stands out, and how you can implement PDF OCR in Python with it. We’ll cover: OCR can be complex, especially when working with different fonts, page formats, or distorted text in
Tesseract 4.00 includes a new neural network subsystem configured as a textline recognizer. It has its origins in OCRopus’ Python-based LSTM implementation, but has been totally redesigned for Tesseract in C++.