A toolbox of OCR models, algorithms, and pipelines based on MindSpore
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Updated
May 16, 2024 - Python
A toolbox of OCR models, algorithms, and pipelines based on MindSpore
Algorithms, papers, datasets, performance comparisons for Document AI. Continuously updating.
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
OpenMMLab Text Detection, Recognition and Understanding Toolbox
Key Information Extraction from Image with LLM(large language model).Basically, it can extract key information from all bills and documents.
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).
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"
A curated list of resources for Document Understanding (DU) topic
Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
Key information extraction from invoice document with Graph Convolution Network
The task aims at extracting required fields in receipts captured by mobile devices 😄
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