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"

[MM'2024] PEneo, an effective algorithm for key-value pair extraction from form-like documents, designed for real-world applications.

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

[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.

news-summizr extracts structured summaries from headlines, labeling key points like announcement, products, region for quick insight.

A new package would process user-provided text inputs, such as headlines or short descriptions, and generate structured summaries or categorizations using an LLM. It would be particularly useful for c

A new package designed to facilitate the extraction of structured summaries or key information from user inputs related to Unix Fourth Edition. It processes textual prompts about Unix concepts, comman

A new package that processes news headlines or short text inputs to generate structured summaries of events, such as service disruptions or incidents. It uses an LLM to extract key details like the co

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