Form Like Document

Form-like document processing focuses on automatically extracting information from structured documents like forms and invoices, aiming to improve efficiency and reduce manual effort in various applications. Current research emphasizes developing robust models that handle diverse layouts and languages, often employing transformer-based architectures and incorporating both textual and visual information through techniques like layout-aware attention and region-based prediction. These advancements are significant for automating business workflows across numerous sectors, enabling efficient data extraction from large volumes of documents and facilitating knowledge graph construction.