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If so you can download any of the below versions for testing. The product will function as normal except for an evaluation limitation. At the time of purchase we provide a license file via email that will allow the product to work in its full capacity. If you would also like an evaluation license to test without any restrictions for 30 days, please follow the directions provided here.

 

Aspose.OCR for Python via .NET 24.5.0 Windows 32-bit

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File Details

  • Downloads:
  • 1
  • File Size:
  • 168.21MB
  • Date Added:
  • 7/6/2024

Release Notes

Description

This wheel contains Aspose.OCR for Python via .NET version 24.5.0, built for Windows and targeting the 32-bit architecture.

File Details

Upgrade your Python OCR applications running on Windows x32 with broader language support and identification of problematic image areas using Aspose.OCR for Python via .NET 24.5.0 release.

Enhanced Accuracy for Latin Scripts

You can witness significant improvements in OCR accuracy for Latin-based languages, such as English, French, Spanish, and more, in the latest release of the Python OCR API.

Enjoy Broader Language Support

Effortlessly recognize text in Arabic, Persian (Farsi), Urdu, and more languages using the new language codes feature on Win32-powered machines. The following code sample demonstrates recognizing the Arabic language in Python.


# Instantiate Aspose.OCR API
api = AsposeOcr()
# Add image to the recognition batch
input = OcrInput(InputType.SINGLE_IMAGE)
input.add("source.png")
# Enable Arabic text recognition
recognitionSettings = RecognitionSettings()
recognitionSettings.language = Language.ARA
# Recognize the image
result = api.recognize(input, recognitionSettings)
# Print recognition result
print(result[0].recognition_text)
input("Press Enter to continue...")

Source*

Automatic Defect Detection

Version 24.5.0 of the Python OCR library helps you identify issues like low contrast or blur in images that might impact recognition accuracy using the new detect_defects method. This code example illustrates how to detect highlights and shadows in the source image.


# Instantiate Aspose.OCR API
api = AsposeOcr()
# Add image to the recognition batch
input = OcrInput(InputType.SINGLE_IMAGE)
input.add("source.png")
# Find shadows and highlights
defects = api.detect_defects(input, DefectType.LOW_CONTRAST)
print(det[0].source)
print(det[0].defect_areas[0].defect_type)

Source*

You can view the list of all new features, enhancements, and bug fixes introduced in this release by visiting Aspose.OCR for Python via .NET 24.5.0 Release Notes.

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