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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.
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Aspose.OCR for C++ 24.4.0 Linux release offers a more efficient and modular approach to optical character recognition (OCR) in your Linux C++ applications. Now, you can download and selectively load advanced OCR features as needed and keep your codebase lean and optimized.
Linux developers can use the latest C++ OCR API release to choose only the OCR features they need and reduce code size while improving performance.
Using the upgraded AsposeOCRResourceLoadSettings structure, you can set up resource loading behavior effortlessly. This version allows automatic resource download within your C++ apps running on Linux. 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*
With this OCR API release, you can integrate optimized recognition capabilities into your C++ OCR apps and 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.