table-structure-recognition

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.

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"

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

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

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

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

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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.

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

High-Performance Transformers for Table Structure Recognition Need Early Convolutions

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.

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

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.

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

A curated list of resources on Table Structure Recognition

GloSAT Historical Measurement Table Dataset

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

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

In this we extract tables from the pdf using fitz and pymudf

Master thesis at FIT (B|V)UT 2024/2025. Table structure recognition using multimodal transformers