Abstract: With the proliferation of visual data, the automatic extraction of text from images using Optical Character Recognition (OCR) has become a crucial application in computer vision. This tutorial demonstrates a rapid and effective method for text detection and extraction using Python, the EasyOCR library, and OpenCV. The core pipeline involves reading an image, creating an instance of the text detector, processing the text, and visualizing the results by drawing bounding boxes around the detected text. The resulting algorithm is a quick and ideal project for beginners in computer vision, completing the process in only a few minutes.

Keywords: Computer Vision, Optical Character Recognition, Text Detection, Python, EasyOCR, OpenCV, Bounding Box.

Downloads: | DOI: 10.17148/IJIREEICE.2025.131036