Aspose.OCR for Python via C++ - Release Notes

What was changed

This is the first released version of Aspose.OCR for Python via C++ library. As such, it contains no new features, improvements, or fixes from previous releases.

Stay tuned for further updates!

Public API changes and backwards compatibility

This section lists all public API changes introduced in Aspose.OCR for Python via C++ 24.1.0 that may affect the code of existing applications.

Added public APIs:

First release.

Updated public APIs:

First release.

Removed public APIs:

First release.

Get started

The example below illustrates how to use the Aspose.OCR for Python via C++ library.

Prepare the environment

1. Check whether your system has Python 3.11 or later installed.
2. Create a directory somewhere on your system where the project files will be kept.
   This directory will later be referred as project directory.
3. Download and install Aspose.OCR for Python via C++ wheel package using PIP.
4. Put a sample image to the project directory under the name source.png.

Create a project script

Create a sample.py script in the the project directory:

import sys
sys.path.append('./path/to/lib/asposeocr')

import asposeocr

''' apply license '''
#license_file_path = "license/file/path"
#asposeocr.AsposeOCRSetLicense(license_file_path)

''' add image to the recognition batch '''
images = [asposeocr.AsposeOCRInput()]
images[0].url = 'source.png'

''' recognize the image '''
settings = asposeocr.RecognitionSettings()
recognition_result = asposeocr.AsposeOCRRecognize(images, settings)
recognition_text = asposeocr.AsposeOCRSerializeResult(recognition_result, asposeocr.ExportFormat.text)
print(result[0].recognition_text)

Run the example

1. Open the command prompt and navigate to the project directory.

2. Run the script with the following command:

   • Microsoft Windows: python sample.py
   • Linux/macOS: python3 sample.py

3. Wait for recognition to complete. It may take a while depending on the image size and your system performance.