A Repo For Document AI

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"

A curated list of resources dedicated to table recognition

整理目前开源的最优表格识别模型，完善前后处理，模型转换为ONNX Organize the currently open-source optimal table recognition models, improve pre-processing and post-processing, and convert the models to ONNX.

A toolbox of ocr models and algorithms based on MindSpore

ACM Multimedia 2023: DocDiff: Document Enhancement via Residual Diffusion Models. Also contains 1597 red seals in Chinese scenes, along with their corresponding binary masks.

文档方向分类

Table Detection and Extraction Using Deep Learning ( It is built in Python, using Luminoth, TensorFlow<2.0 and Sonnet.)

Dedoc is a library (service) for automate documents parsing and bringing to a uniform format. It automatically extracts content, logical structure, tables, and meta information from textual electronic documents. (Parse document; Document content extraction; Logical structure extraction; PDF parser; Scanned document parser; DOCX parser; HTML parser

源自PP-Structure的表格识别算法，模型转换为ONNX，推理引擎采用ONNXRuntime，部署简单，无内存泄露问题。

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

Integrate AI-powered Document Analysis Pipelines

Table Structure Recognition

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

Extracting Tabular Data from Image to Excel files

A Unified Toolkit for Deep Learning-Based Table Extraction

code for participation in ICDAR2021 Table Recognition track (Team Name: LTIAYN = Kaen Context)

Table Detection from the Given Pictures or Files

A Data Extration Web App that converts Images to Tables.

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