Что такое DocVQA?

DocVQA (Document Visual Question Answering) is a task and a corresponding technology in the field of artificial intelligence that aims to answer questions based on the content of documents such as scans, forms, tables, reports, and other visual documents.

Unlike traditional VQA (Visual Question Answering), where questions are asked about general images, DocVQA requires understanding both the text and the structure of the document, including the placement of elements, fonts, tables, and graphics.

Main components of DocVQA:

• Optical Character Recognition (OCR) to extract text from the document image.
• Models for understanding the text and visual structure (e.g., transformers that combine visual and textual features).
• Mechanisms to match the question with relevant information in the document and generate an answer.

Applying DocVQA helps automate document processing, speed up information retrieval, and improve interaction with large volumes of documents.