# Multilingual Text Recognition

TextNet is a lightweight and efficient architecture specifically designed for text detection, achieving an excellent balance between detection accuracy and inference speed through three variants.

GOT-OCR2.0 is a multilingual general OCR model that employs an end-to-end architecture to achieve advanced text recognition capabilities.

TrOCR is a Transformer-based OCR model specifically designed for recognizing printed text.

TrOCR-small-printed is a compact optical character recognition (OCR) model specifically designed for printed text recognition.

An image classification model based on the ViT architecture, designed to identify whether an image contains text and the type of text (Latin, Chinese, Arabic)