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.
DOCUMENT_LAYOUT	`7`	Detects complete document layout, including text blocks, headings, columns, tables, images, charts, and formulas. Use this mode when the recognized structure must be preserved in DOCX or Markdown output.
MULTICOLUMN	`1`	Detects complete document layout, including multi-column text, tables, images, charts, and formulas. Kept for backward compatibility; DOCUMENT_LAYOUT is the clearer name for this mode.
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.
FORMULA	`6`	Detects all blocks with mathematical formulas.

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

DetectAreasMode