docvqa

DocVQA, or Document Visual Question Answering, is a field within artificial intelligence and computer vision that focuses on enabling machines to understand and answer questions about the content of scanned documents, images of documents, or PDF files. This process involves extracting relevant information from the text, tables, and images within these documents and providing accurate answers to user queries. DocVQA is particularly useful in automating data extraction and interpretation from various documents, such as invoices, forms, contracts, and reports, facilitating more efficient business operations and data processing tasks.

docvqa was discovered on August 19th 2024 and it currently has a search volume of 1.6K with a growth of +99X+.