A Unified Toolkit for Deep Learning Based Document Image Analysis
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Updated
Mar 7, 2024 - Python
A Unified Toolkit for Deep Learning Based Document Image Analysis
Read and extract text and other content from PDFs in C# (port of PDFBox)
An Open-Source Python3 tool for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free alternative to Mathpix, empowering seamless conversion of visual content into text-based representations. 80+ languages are supported.
OCR engine for all the languages
Document Layout Analysis resources repos for development with PdfPig.
A toolbox of OCR models, algorithms, and pipelines based on MindSpore
Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
An official implementation of paper "Paragraph2Graph: A Language-independent GNN-based framework for layout analysis"
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
[ICDAR 2023] SelfDocSeg: A self-supervised vision-based approach towards Document Segmentation (Oral)
A Large Dataset of Historical Japanese Documents with Complex Layouts
Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.
This library builds a graph-representation of the content of PDFs. The graph is then clustered, resulting page segments are classified and returned. Tables are retrieved formatted as a CSV.
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
利用java-yolov8实现版面检测(Chinese layout detection),java-yolov8 is used to detect the layout of Chinese document images
OCR-D compliant toolset for optical layout recognition on historical german-language documents published in Brazil
A more complete example of programming with PDFMiner, which continues where the default documentation stops
A powerful CLI tool for visualization and encoding of PAGE-XML files
PdfDet aims to simplify PDF layout detect tasks for users.
A web application for PDF content and table extraction, featuring image-based visual layout analysis, indexed document search, batch processing and extraction result annotation.
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