The Document Analysis (DA) searches and “finds” zones for recognition on the document images.

How it works:

• The Document Analysis algorithms detect different elementary objects on the image, e.g.
  • words or parts of words
  • separators
  • connected components
  • color gradients, inverted text areas
  • …etc.

• In the next step, based on this information, hypotheses for these blocks are formed and checked:
  • What is the type of the block?
  • Where are the borders of the block?
  • What type of the document layout could it be (magazine, newspaper, book page) ?

In the following screenshot, the detected layout elements are displayed on the left-hand side (text, image and table blocks). These elements were precisely reconstructed in the processed document - the exported documents on the right-hand side.

A thorough document analysis is even more important for documents with complex layouts, multi-column magazine pages. The following screenshot shows the properly identified layout elements on the left-hand side, as well as the resulting page with precisely reconstructed columns. 

Intelligent Document Analysis is detecting columns:

Without the intelligent layout analysis, only one large text block would be identified which would make the column reconstruction impossible and the resulting document would not be readable and therefor not usable for a human.

No detection of columns:

Automatic Document Analysis in the SDKs can work in the different settings:

• Text, images, tables and barcodes are detected
• Even if text areas are embedded in images, such as company logos.