Abstract: A system and method for automated document page classification and targeted data extraction. A method for identifying document page types using deep learning (Artificial Intelligence and Machine Learning), and page classification, based on trained models. The layout of the page, as well as where the features are on a given page, from which text is to be extracted are trained on (with human input guiding the construction) and stored in these models. Different types of pages, including text and images, could then be stored in these models, which can then be used for identifying the content on each page to look for the desired feature from which to extract text. Based on a page prediction, the solution then uses the appropriate pre-trained feature extraction model (if one exists) to extract the areas of interest for further OCR processing (retrieving the text).