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Aspose.OCR for C++ 23.6.0 - Release Notes
This article contains a summary of recent changes, enhancements and bug fixes in Aspose.OCR for C++ 23.6.0 (June 2023) release.
GPU version: 23.2.0
Deprecation warning
The release 23.3.0 introduced a slimmer, faster and more straightforward API. All of your existing code will continue to work and you can even make minor updates to it, but be aware that all deprecated elements are scheduled to be removed in release 24.1.0 (January 2024) in favor of the new API.
Time to deprecation: 6 months left.
What was changed
| Key | Summary | Category |
|---|---|---|
| OCRCPP‑464 | Fast recognition function has been aligned with the new API. | Enhancement |
Public API changes and backwards compatibility
This section lists all public API changes introduced in Aspose.OCR for C++ 23.6.0 that may affect the code of existing applications.
Added public APIs:
The following public APIs have been introduced in this release:
asposeocr_fast_recognize function
Recognize provided images in the fastest mode that consumes minimum possible resources. This function is about twice as fast as regular recognition, but does not work with rotated images and does not support recognition settings.
It is a replacement for the following recognition functions:
| Function | Description |
|---|---|
page_fast | Quickly read a single scan or photo without automatic text areas detection and skew angle correction. |
page_fast_from_raw_bytes | Quickly read the image provided as an array of pixels without automatic text areas detection and skew angle correction. |
Updated public APIs:
No changes.
Removed public APIs:
No changes.
Deprecated APIs
The following public APIs have been marked as deprecated and will be removed in 24.1.0 (January 2024) release:
page_fast function
Replaced with an universal asposeocr_fast_recognize function.
page_fast_from_raw_bytes function
Replaced with an universal asposeocr_fast_recognize function.
Usage examples
The examples below illustrates the changes introduced in this release:
Fast recognition
// Provide the image
string file = current_dir + "/source.png";
AsposeOCRInput source;
source.url = file.c_str();
std::vector<AsposeOCRInput> content = { source };
// Extract text from the image
auto result = asposeocr_fast_recognize(content.data(), content.size());
// Output the recognized text
wchar_t* buffer = asposeocr_serialize_result(result, buffer_size, export_format::text);
std::wcout << std::wstring(buffer) << std::endl;