This repository provides a lightweight Chinese OCR system using two neural network models: DBNet for text detection and CRNN for text recognition. The combined model size is approximately 4.7MB. It supports multiple inference backends including ONNX Runtime, ncnn, mnn, and tnn, making it suitable for deployment across desktop, mobile, and embedded platforms. The project includes a Tornado-based web service, CLI tool, and multi-language SDK demos.