# Handwriting Recognition

A multimodal model fine-tuned based on Qwen/Qwen2-VL-2B-Instruct, optimized for OCR, image-to-text conversion, LaTeX math solving, and handwriting recognition

A fine-tuned CAPTCHA OCR model based on microsoft/trocr-base-handwritten, trained on the nj_biergarten_captcha_v2 dataset

A Thai and English optical character recognition model fine-tuned from the TrOCR base handwriting model, excelling in processing handwritten text line images

TrOCR-Ru is an optical character recognition model fine-tuned on synthetic datasets of Russian and English, based on microsoft/trocr-base-handwritten, focusing on image-to-text tasks.

TrOCR is a Transformer-based optical character recognition model designed to extract text content from images.

Handwriting recognition model fine-tuned based on naver-clova-ix/donut-base

A Russian and English OCR model fine-tuned from microsoft/trocr-base-handwritten, specializing in handwritten and printed text recognition

A CNN model for classifying Arabic handwritten characters (Hijaiyah letters), trained on an Arabic handwritten character dataset with an accuracy of 97.64%.

An OCR model for Hebrew image-to-text conversion, capable of recognizing Hebrew text in images.

Fine-tuned based on Google's ViT model for handwriting recognition tasks