Image to LaTeX OCR (Optical Character Recognition) is a technology that converts an image containing mathematical equations or symbols into LaTeX code, which is a markup language used for typesetting mathematical expressions. Here is how it works:1. Pre-processing: The image is first pre-processed to enhance the quality of the image. This involves removing noise, adjusting the brightness and contrast, and correcting any distortions.2. Segmentation: The image is then segmented into individual characters, symbols, and operators. This is done by identifying the boundaries of each character and separating them from the rest of the image.3. Recognition: The segmented characters are then recognized using machine learning algorithms that have been trained on a large dataset of mathematical symbols and equations. The algorithms compare the segmented characters to the dataset and identify the most likely LaTeX code for each character.4. Post-processing: The recognized characters are then combined to form a complete LaTeX expression. This involves correcting any errors that may have occurred during the recognition process, such as misidentified characters or missing operators.5. Output: The final output is a LaTeX code that represents the mathematical expression in the image. This code can then be used in LaTeX documents or other applications that require mathematical expressions.