Intelligent Document Processing

DataFunSummit

Jan 23, 2023 · Artificial Intelligence

Intelligent Document Processing: Core Technologies, Techniques, and Practical Insights

This article explains intelligent document processing (IDP) by describing its core components—OCR, document parsing, and information extraction—detailing various OCR and text‑detection algorithms, discussing document layout reconstruction, table parsing, domain‑specific model adaptation, system optimization, and productization challenges, and outlining future research directions.

AIDocument ParsingInformation Extraction

0 likes · 27 min read

Intelligent Document Processing: Core Technologies, Techniques, and Practical Insights

DataFunTalk

Nov 10, 2022 · Artificial Intelligence

A Comprehensive Overview of OCR Technology Development and Engineering Practices

This article reviews the 40‑year evolution of Optical Character Recognition, discusses its integration with Intelligent Document Processing, outlines recent research hotspots such as scene text recognition and domain‑specific symbol detection, and shares practical engineering experiences and future directions from Datagrand.

Deep LearningIntelligent Document ProcessingOCR

0 likes · 24 min read

A Comprehensive Overview of OCR Technology Development and Engineering Practices

Laiye Technology Team

Sep 9, 2022 · Artificial Intelligence

Graph Convolutional Networks for Intelligent Document Processing: Principles, Feature Engineering, and Applications

This article presents a comprehensive overview of using graph convolutional networks in intelligent document processing, covering basic GCN theory, adjacency matrix construction, feature engineering—including text, image, and handcrafted features—model architecture, self-supervised training, and real-world applications such as semantic entity recognition and relation extraction.

Intelligent Document ProcessingRelation Extractionfeature engineering

0 likes · 14 min read

Graph Convolutional Networks for Intelligent Document Processing: Principles, Feature Engineering, and Applications