Shypd.aiThe largest open index of AI toolsTable Transformer (TATR) is a deep learning model for extracting tables from unstructured documents like PDFs and images. It is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.
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Table Transformer (TATR) is a deep learning model developed by Microsoft for extracting tables from unstructured documents, including PDFs and images. Based on object detection, TATR can be trained to work across various document domains, with pre-trained model weights available for the PubTables-1M dataset. The repository also provides the official code for the PubTables-1M dataset, a large-scale dataset for table detection, structure recognition, and functional analysis, and the GriTS evaluation metric for table structure recognition. Researchers and developers can use TATR to detect and recognize tables, convert them to HTML or CSV, and train custom models for specific needs.
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