To analyze documents with tables and images, computer vision and software engineering play a critical role. While natural language processing (NLP) is important, it is just one part of a larger field that encompasses computer science. Computer vision for Tables and Images is an essential part of AI programs to visually understand documents and layouts, identify tables and images, and process them. This includes identifying tables that span multiple pages and stitching them together to ensure all information is captured.

When it comes to images, programs need to be able to understand the content of the image itself, rather than just relying on labels or summaries. For example, in a complex legal case with a lot of evidence, a program would need to be able to identify specific items in photos, such as a knife that was used as a murder weapon.

Additionally, in analyzing documents with tables, standardization is critical to ensure accurate comparison of data. Programs can help with the standardization and digitization of tables, allowing the data to be exported in formats like CSV or JSON for further analysis in programs like Excel or Tableau.

Overall, the ability to understand documents, identify tables and images, and digitize the information is crucial for effective analysis. While NLP is important, computer vision and software engineering are essential for programs to effectively process and analyze this type of data.