This repository implements a CRNN model that combines convolutional layers for visual feature extraction with recurrent layers for sequence modeling, using Connectionist Temporal Classification (CTC) loss for sequence recognition. The model is designed for end-to-end trainable scene text recognition, handling variable-length sequences without explicit segmentation. It provides a demo script, pretrained model, and training code for custom datasets.