PDF documents are inherently complex – they often contain lots of text, images, charts, graphs, and more. Information within PDFs can be interpreted in many different ways and traditional OCR solutions are not sufficient in capturing both text and visual information, which is vital for document image understanding and can limit the accuracy of your model.
Our Document editor is a multimodal annotation platform. You can easily turn stores of PDF files and documents into performant ML models. With the ability to use an NER text layer, you can easily annotate text of interest alongside OCR, without losing context.
With our Document editor, teams can:
To learn more about our Document editor, please refer to our documentation.