Developer's reference

This reference will guide you through everything you need to know to get the most out of Aspose.OCR for C++.

Aspose.OCR for C++ handles all aspects of recognition - from preprocessing the image to saving recognition results. A full-cycle OCR process involves 5 main stages:

1. Pre-processing: enhance an image before it is sent to the OCR engine to enhance recognition accuracy.

2. Configuring recognition parameters:

   • Specify a language for recognition
   • Limit the subset of characters the OCR module will look for
   • Customize recognition parameters
   • Select document areas detection algorithm

3. Recognizing:

   • Extracting text from an image, document, or other media
   • Balancing recognition speed, quality, and resource usage

4. Post-processing:

   • Working with image regions

5. Saving recognition results:

   • Saving recognition results as a file
   • Getting recognition results as text
   • Getting recognition results as JSON
   • Getting recognition results as XML