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
OCR engine for all the languages
A toolbox of OCR models, algorithms, and pipelines based on MindSpore
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)
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
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.
YOLO models trained by DocLayNet - power your Document Intelligent by Layout Analysis
A python package to structure files using visual and style informations
OCR-D wrapper for page-xml-draw
BA-thesis in history.
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