Libraries used: - PILLOW (PIL) # For image manupulation - pytesseract # For extracting text from image - argparse # For argument parsing - OpenCV (cv2) # For image processing Steps to execute: - ...

This project's code and techniques can be utilized to improve OCR results when dealing with images containing text. By applying the demonstrated pre-processing techniques, users can enhance image ...

In the present digital world, converting images of text into editable text, a process known as Optical Character Recognition (OCR), is a common task. However, many people struggle with complicated ...

The main goal of OcrPy is to make it simple and obvious for users to OCR, Archive, Index, and Search any documents using a robust Pipeline API. OCRpy is a PyPI-hosted Python-only library. By wrapping ...

Abstract: 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 ...