RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

• UpdatedJul 18, 2025
• Python

Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

• UpdatedJun 24, 2024
• Python

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

• UpdatedAug 27, 2021
• Python

Table structure recognition dataset of the paper: Complicated Table Structure Recognition

• UpdatedJul 7, 2020
• Python

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

• UpdatedSep 5, 2022
• Jupyter Notebook

A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating.

• UpdatedSep 9, 2024

Algorithms, papers, datasets, performance comparisons for Document AI. Continuously updating.

• UpdatedMar 1, 2025

Google Colab Demo of CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents

• UpdatedOct 12, 2021
• Jupyter Notebook

Table detection (TD) and table structure recognition (TSR) using Yolov5/Yolov8, and you can get the same (even better) result compared with Table Transformer (TATR) with smaller models.

• UpdatedJul 3, 2024
• Jupyter Notebook

High-Performance Transformers for Table Structure Recognition Need Early Convolutions

• UpdatedApr 3, 2024
• Python

CVPR 2022: Table Structure Recognition

• UpdatedApr 19, 2022
• Python

PDF Table Extractor is an innovative Python project designed to tackle the challenge of extracting tables from scanned PDF documents. Leveraging advanced optical character recognition (OCR) and image processing techniques.

• UpdatedMar 27, 2024
• Jupyter Notebook

Official PyTorch implementation of PyramidTabNet: Transformer-based Table Recognition in Image-based Documents

• UpdatedOct 5, 2024
• Python

智能文本自动处理工具（Intelligent text automatic processing tool）。AutoText的功能主要有文本纠错，图片ocr、版面检测以及表格结构识别等。The main functions of this project include text error correction, ocr, layout-detection and table structure recognition.

• UpdatedMay 17, 2023
• Java

利用Swin-Unet(Swin Transformer Unet)实现对文档图片里表格结构的识别，Swin-unet (Swin Transformer Unet) is used to identify the document table structure

• UpdatedFeb 23, 2024
• Python

A curated list of resources on Table Structure Recognition

• UpdatedJun 27, 2025

GloSAT Historical Measurement Table Dataset

• UpdatedFeb 14, 2025
• Python

VHAC 2023 - OCR - Top 1 of track Table structure recognition

• UpdatedOct 15, 2023
• Python

A Python package that converts table images into HTML format using Object Detection model and OCR.

• UpdatedDec 3, 2024
• Python

Add the Grid Search functionality to search for optimal hyperparameters while fine-tuning the model. Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images).

• UpdatedSep 8, 2023
• Python