This folder contains two notebooks which demonstrate use of CTPN (Caffe implementation) [1,2] for Text box detection and CRNN (PyTorch implmentation) [3,4] for Text character recognition. Most online tutorials describe traditional OCR techniques using Tessaract. However Tessaract is not useful for scene text recognition, i.e. text occurring in natural scenes, with wide variation in fonts, colors and background. Over the last couple of years significant improvements have been made in using deep learning for OCR, in this demo we will show how you can use a textbox detector and a text recognition model to perform OCR on scene text. Its possible to get good out-of-box performance without any having to perform any fine-tuning.