DetectAreasMode

DetectAreasMode enumeration

Determines the type of neural network used for areas detection.

public enum DetectAreasMode

Name	Value	Description
LEAN	`0`	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	`1`	Detects large blocks of text formatted in columns. The best choice for multi-column layouts such as book pages, articles, or contracts.
UNIVERSAL	`2`	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	`4`	Detects tabular structures in the image and extracts text from individual cells. Recommended for scanned spreadsheets, reports, and other table-based documents.
CURVED_TEXT	`5`	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.

Used in the RecognitionSettings to specify which type of image you want to recognize.