In today’s world, every piece of information is in digital form. Technology has made things much easier. Digitization is the process of transforming information into a digital format. Ancient record, personal documents are scanned to store as images. Such scanned images of documents are modified and characters are recognized for further processing. Documents can contain either typed characters or handwritten characters. Extracting the characters in scanned images of documents helps for easier access to contents that need to be further modified. In this project, the models are built to recognize the printed text as well as handwritten text from images. Optical Character Recognition (OCR) technology can be used for printed text recognition and models using Artificial Neural Networks (ANN) can be created to extract handwritten characters. The mode of storage of the information plays a major role. This system allows the users to store the recognized text in desired formats.