A Repo For Document AI
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Updated
Feb 1, 2026 - Python
A Repo For Document AI
Document Layout Analysis
RF-DETR for Docment Layout Analysis
Complex data extraction and orchestration framework designed for processing unstructured documents. It integrates AI-powered document pipelines (GenAI, LLM, VLLM) into your applications, supporting various tasks such as document cleanup, optical character recognition (OCR), classification, splitting, named entity recognition, and form processing
GloSAT Historical Measurement Table Dataset
DocuParse is a high-performance tool for converting PDF documents into clean, structured Markdown files. Designed for speed and accuracy, it extracts and formats content while minimizing errors like hallucinations and repetitions.
A curated list of resources on Document Layout Analysis
📚 Process PDFs, Word documents and more with spaCy
Jochre3 Document Layout Analysis server including models for Blocks (text blocks and images), Text lines, Words and Glyphs
Hệ thống sinh bài thi trắc nghiệm sử dụng trí tuệ nhân tạo - QuizVista
A Bottom-Up Instance Segmentation Strategy for segmenting document instances using Transformers
A Unified Toolkit for Deep Learning Based Document Image Analysis
Detectron2 for Document Layout Analysis
Customized LangChain Azure Document Intelligence loader for table extraction and summarization
Document Layout Analysis ( DLA ) using Paddle OCR
Document Layout Analysis resources repos for development with PdfPig.
This repo contains our (Team: Krusty Krab) codes for DLS2 Document-Layout-Analysis. The repository is structured into three folders
A curated list of resources for Document Understanding (DU) topic
Using a MaskRCNN model trained on the PublayNet dataset with ML.Net in C# / .Net for Document layout analysis and page segmmentation task.
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
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