What are DocFormer and BROS?

DocFormer and BROS are modern models for document processing using deep learning methods, especially in Document AI and OCR tasks.

• DocFormer is a transformer-based model that combines visual information (document image), text, and positional data to understand the structure and content of documents. It is used for extracting information from complex documents where not only the text sequence but also the visual layout of elements is important.

• BROS (Bimodal Representation of Scanned documents) is a model that also combines visual and textual data but focuses on scanned documents. BROS uses a dual-channel representation to better capture the relationship between the image and text, improving classification, extraction, and understanding tasks.

Both models help improve the accuracy and efficiency of document recognition and analysis systems, especially when traditional OCR and NLP methods perform inadequately due to complex structures or poor quality of the original data.