This project demonstrates how to use Python with the Tesseract OCR engine to extract text from images. The script processes images in the input_images directory and saves the extracted text to the ...

The scrambledtext library provides tools to simulate OCR (Optical Character Recognition) errors in text by applying various types of corruptions such as character substitutions, deletions, and ...

It includes modules for quickly loading datasets, integrating with popular OCR frameworks, and accessing various utilities for everyday tasks. This toolkit aims to remove the complexity and make OCR ...

Optical Character Acknowledgment (OCR) stands as a transformative innovation at the crossing point of computer vision and machine learning, encouraging the extraction of printed data from pictures or ...

There is a sudden increase in digital data as well as a rising demand for extracting text efficiently from images. These two led to full optical character recognition systems are introduced across all ...