Using AI to extract code from images involves leveraging Optical Character Recognition (OCR) technology and machine learning models. OCR tools, such as Tesseract or AI-powered APIs like Google Vision, can recognize and convert text embedded in images into machine-readable formats. For code extraction, specialized models trained on programming syntax can enhance accuracy by identifying language-specific patterns and structures, such as indentation, brackets, and keywords. Post-extraction, tools can reformat the text to maintain proper syntax and highlight errors introduced during recognition. This process is particularly useful for digitizing handwritten notes, capturing code snippets from screenshots, or recovering code from damaged files. However, ensuring high image quality and preprocessing the image—such as de-noising and adjusting contrast—can significantly improve the extraction results.