Docling Models This page contains models that power the PDF document converion package docling. Layout Model The layout model will take an image from a page and apply RT DETR model in order to find different layout components. It currently detects the labels: Caption, Footnote, Formula, List item, Page footer, Page header, Picture, Section header, Table, Text, Title. As a reference (from the DocLayNet paper), this is the performance of standard object detection methods on the DocLayNet dataset compared to human evaluation, human MRCNN MRCNN FRCNN YOLO human R50 R101 R101 v5x6 Caption 84 89 68.4 71.5 70.1 77.7 Footnote 83 91 70.9 71.8 73.7 77.2 Formula 83 85 60.1 63.4 63.5 66.2 List item 87 88 81.2 80.8 81.0 86.2 Page footer 93 94 61.6 59.3 58.9 61.1 Page header 85 89 71.9 70.0 72.0 67.9 Picture 69 71 71.7 72.7 72.0 77.1 Section header 83 84 67.6 69.3 68.4 74.6 Table 77 81 82.2 82.9 82.2 86.3 Text 84 86 84.6 85.8 85.4 88.1 Title 60 72 76.7 80.4 79.9 82.7 All 82 83 72.4 73.5 73.4 76.8 TableFormer The tableformer model will identify the structure of the table, starting from an image of a table. It uses the predicted table regions of the layout model to identify the tables. Tableformer…
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