The guide discusses the process of extracting text from images using various methods, including manual hacks, semi-automated solutions, and fully automated tools. Manual methods involve converting images to PDF files or using Microsoft Word, while semi-automated methods leverage open-source OCR libraries and Large Language Models (LLMs) for more efficient processing. Automated methods, on the other hand, use cutting-edge technology like Optical Character Recognition (OCR) and LLMs to convert multiple images to text online, providing enterprise-grade security and features like signature detection. The guide highlights the importance of selecting an appropriate method based on factors such as image quality, file size, and required formatting, and emphasizes the need to review extracted text for accuracy.