OpenMMLab Text Detection, Recognition and Understanding Toolbox
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Updated
Apr 23, 2024 - Python
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, algorithms, and pipelines 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 😄
Official release of RFUND introduced in the paper "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction" (arXiv:2401.03472).
Key Information Extraction from Image with LLM(large language model).Basically, it can extract key information from all bills and documents.
Add a description, image, and links to the key-information-extraction topic page so that developers can more easily learn about it.
To associate your repository with the key-information-extraction topic, visit your repo's landing page and select "manage topics."