bros base uncased

BROS (BERT Relying On Spatiality) is a pre-trained language model designed to extract key information from documents by combining text with spatial layout. By analyzing OCR (optical character recognition) results that include word coordinates, it excels at tasks like extracting structured lists or specific data from receipts, invoices, or forms. Its unique approach, which incorporates the position of textual elements, significantly improves accuracy compared to traditional text-only models. Ideal for automating the processing of complex documents, it is particularly well-suited to environments where layout is essential to comprehension. The model stands out for its ability to understand the hierarchy and spatial relationships between information, providing a robust solution for structured data extraction.