Search
Follow Us
Categories
- Success Stories(157)
Archives
Category Archive: Aspose.OCR Product Family
Convert Image to Text using Java OCR API
The Optical Character Recognition (OCR) technology has made it possible to recognize and read the text within the scanned documents and images. OCR lets you convert the read-only text into an editable form. The converted text can further be processed for operations such as text analysis. In this article, I’ll show you how to perform OCR on images (PNG, JPG, BMP, and GIF) and convert images to text using Java OCR API – Aspose.OCR for … Continue Reading
Convert Image to Text using C++ OCR Library
The OCR (Optical Character Recognition) technology lets you read and convert the text in the images or scanned documents to the machine-readable form. The OCR has various use cases that include reading codes from vouchers, making the text editable, self-service stores, converting printed documents into digital formats, and so on. Various OCR tools and libraries are available in the market, however, the reliability of the OCR results is a key factor. In this article, I’ll show you how to create … Continue Reading
Posted in Aspose.OCR Product Family Tagged Perform OCR on Image cpp, convert image to text cpp
Convert Image to Text using C# OCR Library
The OCR (Optical Character Recognition) is a well known and widely used technology to recognize and read text from images and scanned documents. In the OCR operation, the characters on the images are scanned, recognized, and converted into the digital form. The converted text can be validated and saved to perform further operations. In this article, I’ll show you how to perform OCR to convert images to text programmatically using C# within your .NET applications. The rest of the article … Continue Reading
Perform OCR on images in C++ Applications using Aspose.OCR for C++
OCR (optical character recognition) is the recognition of written or printed text and it is widely used functionality. Reading images which have textual content has now been common and essential requirement for many businesses. We at Aspose are honored to announce upcoming release of Aspose.OCR for C++. Now you will be able to use Aspose.OCR in C++ applications to implement the OCR functionality. Following section offers some insights into initial API features and news about its first version availability.… Continue Reading
Posted in Aspose.OCR Product Family, Asad Ali
Better OCR Performance with Aspose.OCR for Java 17.11
We are pleased to announce that Aspose.OCR for Java 17.11 is now available for public use. In this release, the OCR engine has been upgraded which resulted in the overall high performance of the API. Furthermore, some issues incurring in API have also been addressed.
Other Enhancements
The following enhancements have been introduced in this release.
- Binary Classification has been introduced for better OCR recognition.
- OCR network implemented in Player under our main OCR component to achieve better performance.
As … Continue Reading
Posted in Aspose.OCR Product Family Tagged Java OCR library, Perform OCR Operations in Java
Enhanced OCR Operation With Aspose.OCR for .NET 17.11
Aspose.OCR for .NET 17.11 is now available for public use. This is primarily a maintenance release whereby we have resolved certain issues incurring in API. Furthermore, the overall performance of the API has also been improved in this release.
Other Improvements
The following is the list of improvements made in this release.
- Binary Classification has been introduced for better OCR recognition.
- OCR network implemented in Player under our main OCR component to achieve better performance.
Since all the enhancements … Continue Reading
Improved OCR Functionality to Perform OCR Operation in Java
We are pleased to announce that Aspose.OCR for Java 17.6 is now available for public use. This release includes improvements to make OCR operation more fast and robust. OCR process classifiers have been introduced. character splitting mechanism has been improved. Furthermore, the Implementation of the OCR engine has been upgraded by reducing the neural network calls.
Enhancements
The following enhancements have been introduced in this release.
- Logic for setting up the spaces between the words has been improved.
- Characters splitting
Posted in Aspose.OCR Product Family
More Robust OCR Engine For OCR Operation With Aspose.OCR for .NET
We are pleased to announce the release of Aspose.OCR for .NET 17.6. The major development in this release is the improvements made to make processing of OCR operation more fast and robust. Implementation of the OCR engine has been upgraded in such way that neural network calls have been reduced. More OCR process classifier has been introduced and characters splitting mechanism is also improved in this release.
Enhancements
Following enhancements have been introduced in this release.
- Logic for setting up
Posted in Aspose.OCR Product Family
Enable Automatic Image Correction Filters with Aspose.OCR for Java 3.3.0
We are pleased to announce that Aspose.OCR for Java 3.3.0 is now available for public use. This release includes image skew correction using algorithm.
Image Skew Correction Using Algorithm
Aspose.OCR for Java provides the facility to perform image skew correction using algorithm. The following is the code demonstration of how an OMR scanned sheet image can be deskewed/straighten using the SkewCorrectionAlgorithm class.
Please review the release notes of Aspose.OCR for Java 3.3.0 for a complete view of new features.… Continue Reading
Improved Image Skew Correction with Aspose.OCR for Java 17.03
We are pleased to announce the release of Aspose.OCR for Java 17.03. This release includes improved image skew correction mechanism with better EigenPoints selection and grouping. An improved metered licensing process is also part of this release. Bugs reported by our customers have been fixed due to which overall performance of the API is also improved in this release.
Enhancements
This month’s release includes the following enhancements.
- The working of the metered licensing mechanism has been improved. The API will
Posted in Aspose.OCR Product Family