OCR in .Net
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Iron OCR - The OCR .NET Library
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Contents
Description by the Publisher
Iron OCR has been specifically designed for use in .NET applications, including console applications, Windows Form Applications, WPF, and web applications such as Windows Forms and MVC. It is built on top of the Tesseract platform, but adds additional functionality, making Tesseract more usable in the real world. https://ironsoftware.com/csharp/ocr/technology/ocr-net/ and https://www.nuget.org/packages/IronOcr/
Iron OCR has been designed with developers in mind, allowing for rapid OCR setup within .NET projects. OCR requires a lot of preprocessing of images to make them readable by OCR libraries, which expect almost perfect input.
Iron OCR can automatically detect the properties of an image, a screenshot, photographs, scans, or PDF document and adjust itself accordingly, preprocessing the images so the OCR is likely to have over 95% accuracy without any settings being adjusted or any Photoshop work on behalf of the client organization.
Language packs are available for multiple languages including: Language packs available for Arabic, Simplified Chinese, Traditional Chinese, Danish, English, Finnish, French, German, Hebrew, Italian, Japanese, Korean, Portuguese, Russian, Spanish, and Swedish. Language packs can be found here: https://ironsoftware.com/csharp/ocr/languages/
Iron OCR can be used with many other Iron products. It is commonly used with Iron Barcode. Iron OCR may be used to extract text from a document, whereas Iron Barcode can be used to detect barcodes with a higher degree of accuracy within a similar scan.
It may also be used with Iron PDF to repurpose content from scanned documents in new PDF documents. For more information, support, licensing questions please contact Iron Software. Product information can be found on the product page: https://ironsoftware.com/csharp/ocr/
Limitations in the Downloadable Version
Restricted Reading quantity. For commercial 30 day deployment trial please contact [email protected]
Product Identity
Unique Product ID: PID-7900A3F4FEE9
Unique Publisher ID: BID-69003C39BEE9
