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In this tutorial, Rob demonstrates how to use Python to extract text from images by comparing three main libraries: PyTesseract, EasyOCR, and Keras OCR. He works within a Kaggle notebook, utilizing the Text OCR dataset, which contains over a million annotations for text in images, making it an ideal resource for testing these libraries. Before diving into coding, he provides an overview of the dataset, highlighting its structure, which includes training and validation image folders. Rob encourages viewers to like and subscribe for future video updates.