Document recognition and analysis have emerged as critical components in the digital transformation of information management. This field encompasses techniques that automatically extract, verify, and ...

H2O.ai, a provider of open-source AI platforms, announced today two new vision-language models designed to improve document analysis and optical character recognition (OCR) tasks. The models, named ...

CEDAR is a research center at the University at Buffalo, State University of New York. Growing out of research on pattern recognition, conducted since 1978 in the Department of Computer Science, CEDAR ...

The landscape of financial document processing is undergoing a remarkable transformation, thanks to advancements in Artificial Intelligence (AI) and Optical Character Recognition (OCR) technologies.

Amazon Textract, Azure Form Recognizer, and Google Document AI can parse your unstructured documents and produce structured information for all kinds of digital transformation use cases. Records have ...

Mistral OCR represents a significant advancement in the field of optical character recognition (OCR), offering a robust solution for extracting text from diverse document types. Designed to handle a ...

Document Intelligence 2.0 enables simultaneous analysis of documents while new search filters streamline research workflows and accelerate decision-making NEW YORK, Oct. 22, 2025 /PRNewswire/ -- S&P ...

In computer vision applications, Cyberway's self-developed high-performance image recognition algorithms have been successfully deployed in visual inventory counting scenarios, enabling automated ...