Introduction Modern Large Language Models (LLMs) have revolutionized text analysis—until they encounter the complexities of PDFs. PDFs often feature intricate layouts, visual elements, flowcharts, images, and tables with interdependent contexts and relationships. This...
Vision Language Models (VLMs) such as GPT-4o and Claude-3.5 have done well and continue to improve at textual tasks but they still struggle with visual tasks. For example, let’s ask these VLMs to count the number of missing soda cans in this image: The Soda Can Puzzle...
Introduction If you’ve ever tried to extract meaningful data from PDFs—especially documents with complex layouts like tables, charts, or forms—you’ve likely run into OCR’s limitations. OCR is great for raw text, but it ignores structural relationships critical for...
This article shares the results of a benchmarking study conducted with an open access fundus image dataset. Using the same starting images, same partitions, and same ground truth labels, LandingLens produced a multi-class classification model with an F1 score of 92.1%...
