DetectAreasMode.TABLE

When this mode is enabled, Aspose.OCR for Python via .NET engine detects tabular structures on an image and extracts text from cells. This areas detection mode is recommended when working with scanned spreadsheets, financial and accounting reports, invoices, and other tables.

However, this algorithm is inefficient when dealing with large amounts of text, such as pages from books and newspaper articles. Try DetectAreasMode.DOCUMENT instead.

Example

The following code sample demonstrates how to use this document areas detection algorithm:

# Instantiate Aspose.OCR API
api = AsposeOcr()
# Add image to the recognition batch
input = OcrInput(InputType.SINGLE_IMAGE)
input.add("source.png")
# Set document areas detection mode
recognitionSettings = RecognitionSettings()
recognitionSettings.detect_areas_mode = DetectAreasMode.TABLE
# Recognize the image
result = api.recognize(input, recognitionSettings)
# Print recognition result
print(result[0].recognition_text)
input("Press Enter to continue...")