Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
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Updated
Jan 20, 2026 - Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Powerful handwritten text recognition. A simple-to-use, unofficial implementation of the paper "TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models".
Handwritten mathematical symbols recognition with TrOCR
An image to text model base on transformer which can also be used on OCR task.
AutoRegressive Transformer Model for Optical Character Recognition In Farasi
A safer way to organize your handwritten medical prescriptions with the functionality of blockchain.
A service for extracting and indexing archival document images
FrameReader is a full-fledged service for recognizing text on frames of video materials in Russian, training, deployment of computer vision models to solve the OCR problem. Optimization of models on the tensorrt engine
This is a handwritten-equations to latex-equations converter, built using trocrbasestage1 model + CROHME dataset + custom-built SentencePiece Tokenizer (latex)
MNIST Sequence Image-to-text TrOCR transformer using Hugging Face
Solution than scored top #3 in Super AI Kaggle competition: handwritten digit hackathon
Doxaria OCR/HTR for medical insurance documents
Machathon 6.0 challenge to develop AI-driven models for digitizing handwritten prescriptions, enhancing accuracy, accessibility, and patient care.
Text Drawing and Recognition in A-Frame
This is a public dataset for training OCR models on using the British Parliament's historic records. It is for digital humanities researchers
High-performance LPR system optimized for Indian license plates, achieving 97% character accuracy. Features a hybrid pipeline using YOLOv11 and Mamba-SSM (State Space Models) with built-in regex correction and Beam Search decoding.
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