Showing 1-15 of 15 projects
OCR library with 80+ languages and scripts support
A lightweight Chinese OCR library that supports vertical text recognition and NCNN/MNN/TNN inference with a small model size.
TensorRT implementation of popular deep learning networks for efficient inference on GPUs
Rapid and powerful OCR toolkit for developers, supporting multiple AI frameworks like ONNX, OpenVINO, and PyTorch.
An open-source toolbox for text detection, recognition, and understanding tasks powered by PyTorch.
Text recognition (OCR) with deep learning methods, a benchmark for scene text recognition.
A Python-based OCR library that uses CTPN, CRNN, and CTC to perform text detection and recognition in natural scenes.
A deep learning-powered invoice processing platform built with Python, Flask, and Keras/TensorFlow.
An open-source Python library for recognizing Chinese characters using a CRNN (Convolutional Recurrent Neural Network) model.
A comprehensive set of Keras-based NLP models for text classification, similarity, and more, with support for Chinese and English.
A flexible Python library for optical character recognition (OCR) using the CRAFT text detector and Keras CRNN recognition model.
Generate text images for training deep learning OCR models, a key tool for vibe coders working with AI-powered text recognition.
Offline OCR SDK for Chinese text detection and recognition, built with deep learning and transformer models.
A PyTorch-based implementation of the PaddleOCR optical character recognition model, enabling developers to leverage state-of-the-art AI for text detection and recognition.
A TensorFlow-based CRNN model for scene text recognition, useful for vibe coders working on OCR and computer vision AI.
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