OpenMMLab Text Detection, Recognition and Understanding Toolbox

A curated list of resources for Document Understanding (DU) topic

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

A toolbox of ocr models and algorithms based on MindSpore

Algorithms, papers, datasets, performance comparisons for Document AI. Continuously updating.

Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

Key information extraction from invoice document with Graph Convolution Network

An unofficial PyTorch implementation of "Lin et al. ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents. ICDAR, 2021"

The task aims at extracting required fields in receipts captured by mobile devices 😄

[MM'2024] Official implementation of "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction."

[MM'2024] Official release of RFUND introduced in the MM'2024 paper "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction"

利用llm大语言模型提取卡证票据关键信息。Key Information Extraction from Image with LLM(large language model).Basically, it can extract key information from all bills and documents.

AI & ML research project for automatic product extraction, classification, and analysis of receipt data