Enum DetectAreasMode

Namespace: Aspose.OCR
Assembly: Aspose.OCR.dll (25.2.0)

Determines the type of neural network used for areas detection.

public enum DetectAreasMode

Fields

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.

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.

TABLE = 4

Detects tabular structures in the image and extracts text from individual cells. Recommended for scanned spreadsheets, reports, and other table-based documents.

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.

Remarks

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