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Aspose.OCR for C++ (GPU) 24.4.0 helps you unlock the power of your GPU for significantly faster OCR processing in your C++ applications.
Developers working on resource-intensive projects can now leverage their GPU for faster and more efficient image recognition.
The latest C++ OCR API release enables developers to choose only the OCR features they need and reduce code size while improving performance.
With the upgraded AsposeOCRResourceLoadSettings structure, you can configure resource loading behavior effortlessly. This version allows automatic resource download within your C++ apps. This code example illustrates how you can download resources automatically and apply custom settings with asposeocr_set_resource_load_settings().
AsposeOCRResourceLoadSettings
asposeocr_set_resource_load_settings()
AsposeOCRResourceLoadSettings load_settings; std::string root_path = "models"; load_settings.resource_root_path = root_path.c_str(); load_settings.lazy_load = true; asposeocr_set_resource_load_settings(load_settings); // Set recognition language RecognitionSettings settings; settings.language_alphabet = language::eng; // Provide the image for recognition string file = "source.png"; AsposeOCRInput source; source.url = file.c_str(); vector<AsposeOCRInput> content = {source}; // Extract text from the image AsposeOCRRecognitionResult result = asposeocr_recognize(content.data(), content.size(), settings);
Source*
This OCR API release delivers optimized recognition capabilities to perform OCR on Cyrillic characters quickly and easily. Please check out the following code sample to learn how to do it in C++.
AsposeOCRResourceLoadSettings load_settings; std::string root_path = "models"; load_settings.resource_root_path = root_path.c_str(); asposeocr_set_resource_load_settings(load_settings); // Set recognition language RecognitionSettings settings; settings.language_alphabet = language::eng; // Provide the image for recognition string file = "source.png"; AsposeOCRInput source; source.url = file.c_str(); vector<AsposeOCRInput> content = {source}; // Extract text from the image AsposeOCRRecognitionResult result = asposeocr_recognize(content.data(), content.size(), settings);
You can view the list of all new features, enhancements, and bug fixes introduced in this release by visiting Aspose.OCR for C++ 24.4.0 Release Notes.