Scribe: A DCNN Approach for Handwritten Text Conversion

In recent times, the ability to convert handwritten text into its digital counterparts has risen in importance. Traditional methods of converting handwritten documents into digital ones often involve methods such as manual typing, which is tedious, or require expensive scanning equipment. However, the emergence and growth of mobile technology have paved the way for convenient and accessible solutions. Our solution presents the design, development and implementation of a handwritten text-to-digital PDF mobile application. The proposed methodology employs a model architecture that consists of residual blocks and Bi-LSTMs (Bi-directional Long Short-Term Memory), alongside a user-friendly app that provides an interface for users to capture images of their handwritten notes using their mobile’s camera, which are then processed by the model to generate the PDF documents.