# Document processing

PP-LCNet_x1_0_table_cls is an efficient table classification model used to classify input table images and supports the classification of lined tables and borderless tables.

SLANeXt_wired is a deep learning model for table structure recognition, which can convert non - editable table images into editable table formats (such as HTML).

SLANet is a model for table structure recognition that can convert non-editable table images into editable table formats (such as HTML).

RT-DETR-L_wired_table_cell_det is a key module in the table recognition task, mainly responsible for locating and marking each cell area in the table image.

SLANeXt_wireless is a model for table structure recognition, which can convert non - editable table images into editable HTML format.

A multimodal table detection model fine-tuned from google/paligemma-3b-mix-448, specialized in identifying table regions in images