CrystalOCR is an OCR SDK that enables developers to integrate advanced OCR capabilities into their products. It delivers high-quality OCR functionality for all types of characters.
CrystalOCR is a powerful software development kit that provides developers with high-quality optical character recognition functionality. The software is designed to be easy to use, agile, and small in size. With a royalty-free licensing policy, CrystalOCR offers numerous advantages for developers.
CrystalOCR is ideal for recognizing scanned or faxed documents, as well as images taken using a camera or mobile phone. Thanks to its unique character analysis technology, it can deliver reliable recognition of any font even in low-quality images. This is further supported by robust adaptive binarization, which can handle images with uneven brightness or low contrast.
The software also features one-of-a-kind analysis algorithms for poor-quality text, distorted, slanting, conjoined or fragmented characters. CrystalOCR's recognition capabilities are further enhanced through quality dictionary support and user vocabulary functionality, as well as an ICR module for handwritten digits.
CrystalOCR is optimized with SSE/SSE2 instructions, making use of the capabilities of processors and operating systems that support it. Its full support of multi-core CPUs ensures efficient parallel processing of recognition, even for a single text fragment. The software supports multiple image formats, including BMP, JPEG, PNG, TIFF, GIF, and others.
The recognized text output can be either plain or formatted text with additional recognition data, making it easier to work with. With an intuitive API interface and numerous usage examples for various programming languages such as C++, C#, VB.NET, Delphi, developers can easily integrate CrystalOCR into their projects.
Both native x86 and x64 binaries are available for developers to use. In summary, if you want a reliable OCR solution embedded in your software, CrystalOCR is a great option to consider.
CrystalOCR is ideal for recognizing scanned or faxed documents, as well as images taken using a camera or mobile phone. Thanks to its unique character analysis technology, it can deliver reliable recognition of any font even in low-quality images. This is further supported by robust adaptive binarization, which can handle images with uneven brightness or low contrast.
The software also features one-of-a-kind analysis algorithms for poor-quality text, distorted, slanting, conjoined or fragmented characters. CrystalOCR's recognition capabilities are further enhanced through quality dictionary support and user vocabulary functionality, as well as an ICR module for handwritten digits.
CrystalOCR is optimized with SSE/SSE2 instructions, making use of the capabilities of processors and operating systems that support it. Its full support of multi-core CPUs ensures efficient parallel processing of recognition, even for a single text fragment. The software supports multiple image formats, including BMP, JPEG, PNG, TIFF, GIF, and others.
The recognized text output can be either plain or formatted text with additional recognition data, making it easier to work with. With an intuitive API interface and numerous usage examples for various programming languages such as C++, C#, VB.NET, Delphi, developers can easily integrate CrystalOCR into their projects.
Both native x86 and x64 binaries are available for developers to use. In summary, if you want a reliable OCR solution embedded in your software, CrystalOCR is a great option to consider.
What's New
Version 1.2: A lot of new features were added