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This tool performs document layout analysis (segmentation) from image data and returns the results as [PAGE-XML](https://github.com/PRImA-Research-Lab/PAGE-XML).
It can currently detect the following layout classes/elements:
* Border
* Textregion
* Image
* Textline
* Separator
* Marginalia
* Initial (Drop Capital)
* [Border](https://ocr-d.de/en/gt-guidelines/pagexml/pagecontent_xsd_Complex_Type_pc_BorderType.html)
* [Textregion](https://ocr-d.de/en/gt-guidelines/pagexml/pagecontent_xsd_Complex_Type_pc_TextRegionType.html)
* [Textline](https://ocr-d.de/en/gt-guidelines/pagexml/pagecontent_xsd_Complex_Type_pc_TextLineType.html)
* [Image](https://ocr-d.de/en/gt-guidelines/pagexml/pagecontent_xsd_Complex_Type_pc_ImageRegionType.html)
* [Separator](https://ocr-d.de/en/gt-guidelines/pagexml/pagecontent_xsd_Complex_Type_pc_SeparatorRegionType.html)
* [Marginalia](https://ocr-d.de/en/gt-guidelines/trans/lyMarginalie.html)
* [Initial (Drop Capital)](https://ocr-d.de/en/gt-guidelines/trans/lyInitiale.html)
In addition, the tool can be used to detect the _Reading Order_ of regions. The final goal is to feed the output to an OCR model.
In addition, the tool can be used to detect the _[ReadingOrder](https://ocr-d.de/en/gt-guidelines/trans/lyLeserichtung.html)_ of regions. The final goal is to feed the output to an OCR model.
The tool uses a combination of various models and heuristics (see flowchart below for the different stages and how they interact):
* [Border detection](https://github.com/qurator-spk/eynollah#border-detection)