DetectAreasMode

DetectAreasMode enumeration

Determines the type of neural network used for areas detection.

Member name	Description
LEAN	Prioritizes speed and reduces resource consumption by omitting support for complex layouts. Suitable only for simple images with a few lines of text without illustrations or formatting.
MULTICOLUMN	Detects large blocks of text formatted in columns. The best choice for multi-column layouts such as book pages, articles, or contracts.
UNIVERSAL	Detects all blocks of text in the image, including sparse and irregular text on photos. A versatile option for most images, except for tables and multi-column layouts.
TABLE	Detects tabular structures in the image and extracts text from individual cells. Recommended for scanned spreadsheets, reports, and other table-based documents.
CURVED_TEXT	Automatically straightens curved lines of text in the image, improving recognition accuracy and allowing more text to be recovered and extracted. Requires significant processing power and RAM.