What is a RichVisualDocument and the Models Behind It?
Published on June 15, 2023
Introduction
RichVisualDocuments (RVDs) are complex documents that blend structured and unstructured data, such as invoices, financial reports, medical records, and more. These documents often include text, tables, images, charts, and annotations, requiring advanced AI to process and understand their content.
Models Used for RichVisualDocuments
Large Language Models (LLMs)
- Excel at understanding and generating natural language
- Useful for extracting meaning from text, summarizing content, and identifying context
Layout-Aware Models
- Combine visual and textual features
- Capable of interpreting document layouts, such as tables, headers, and sections
- Examples: LayoutLM, Donut
LILD Models
- Language-Image Layout Detection Models
- Specialized for extracting and understanding data from visually-rich documents
- Handle tasks like table detection, form parsing, and image-based text recognition
Vision-Based Models
- Focus on analyzing images or scanned documents for visual elements
- Detect logos, stamps, or handwritten annotations
- Examples: CNNs, Transformers
Conclusion
Understanding and processing RichVisualDocuments requires a sophisticated combination of AI models, each specializing in different aspects of document analysis. By leveraging these advanced technologies, businesses can automate complex document processing tasks, extract valuable insights, and significantly improve their operational efficiency.