This repository implements the Convolutional Recurrent Neural Network architecture that combines CNN feature extraction, RNN sequence modeling, and CTC (Connectionist Temporal Classification) loss for end-to-end sequence recognition from images. The model is built on Torch7 with CUDA GPU support and can be applied to tasks like scene text recognition and general OCR. A pretrained demo model is provided for immediate testing.