Layout detecton

Aspose.OCR for Java can automatically analyze image content and identify the different types of layout blocks within it.

This functionality supports PDF, GIF, PNG, JPEG, BMP, or single-page TIFF from files, streams, and can bulk process folders and archives.

Pass one or more images as com.aspose.ocr.OcrInput object to com.aspose.ocr.DetectDocumentLayout method and get the layout blocks as com.aspose.ocr.models.LayoutOutput object.

com.aspose.ocr.models.LayoutOutput

This class stores a layout block detected in an image.

Property	Type	Description
source	String	The full path to the file or URL, if applicable. Empty for images provided as a stream, byte array, or Base64.
page	Integer	Page number for multi-page images.
paragraphs	ArrayList<com.aspose.ocr.models.ContentArea>	Detected paragraphs.
images	ArrayList<com.aspose.ocr.models.ContentArea>	Detected illustrations.
headers	ArrayList<com.aspose.ocr.models.ContentArea>	Detected headers.
tables	ArrayList<com.aspose.ocr.models.ContentArea>	Detected tables.
lists	ArrayList<com.aspose.ocr.models.ContentArea>	Detected lists.
captions	ArrayList<com.aspose.ocr.models.ContentArea>	Detected captions.
equations	ArrayList<com.aspose.ocr.models.ContentArea>	Detected equations.

com.aspose.ocr.models.ContentArea

This class stores a layout block detected in an image.

Property	Type	Description
index	Integer	The sequential index of the content area, unique within the entire image.
image	BufferedImage	Image region with the content.
rectangle	java.awt.Rectangle	The bounding rectangle of the content area.

Example

The following code demonstrates how to find and recognize tables in an image

AsposeOCR recognitionEngine = new AsposeOCR();
// Add an image to OcrInput object
OcrInput input = new OcrInput(com.aspose.ocr.InputType.SingleImage);
input.add("source.png");
// Detect layout
com.aspose.ocr.models.LayoutOutput layout = recognitionEngine.DetectDocumentLayout(input).get(0);
ArrayList<com.aspose.ocr.models.ContentArea> tables = layout.tables;
// Recognize tables
com.aspose.ocr.OcrInput tableAreas = new OcrInput(com.aspose.ocr.InputType.SingleImage);
for(com.aspose.ocr.models.ContentArea table : tables)
{
    tableAreas.add(table.image);
}

com.aspose.ocr.OcrOutput recognResult = api.Recognize(tableAreas);