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Iron Software Developed IronOCR an Advanced OCR Library for C# And .NET

Iron Software, a software development company based in Chicago, offers IronOCR an advanced OCR (Optical Character Recognition) library for C# and .NET


Chicago, IL, September 5, 2021 — The team of engineers at Iron Software -that in only six years had expanded into offices around the world -supporting five products and millions of users- developed IronOCR, an advanced OCR (Optical Character Recognition) library for C# and .NET

Their ocr for c# provides Tesseract OCR on Mac, Windows, Linux, azure ocr and Docker for .Net Framework 4.0 +, .Net Standard 2.0 +, .Net Core 2.0 +, .Net 5, Mono for MacOS and Linux and Xamarin for MacOS. Another great asset is that IronOCR reads Text, Barcodes & QR from all major image and PDF formats using the latest Tesseract 5 engine. This library adds OCR functionality to Desktop, Console, and Web applications in minutes!

Some others of their unique features are that its OCR tasks run locally with no need for SAAS and include barcode and QR Code reading. It corrects low quality, noisy and distorted scans, and its performance is tuned above and beyond any other known build of Tesseract OCR, since the c# tesseract ocr an excellent academic OCR library available for free for almost all use cases to developers.

The OCR also reads PDFs, multi-page TIFFs and could be saved in any OCR Scan to a searchable PDF document or XHTML. Their data output options include Plain Text, Barcode Data, and an OCR Result class containing paragraphs, lines, words, and characters. It comes in 125 languages -including Arabic, Chinese, English, Finnish, French, German, Hebrew, Italian, Japanese, Korean, Portuguese, Russian, Spanish- but remember that they also offer custom language packs that can also be created.

And if you’re wondering how hard it would be to read text from an image in C# they have an available tutorial that will teach you how to convert images to text in C# and other .NET languages. Because although it may seem simplistic, there is sophisticated behavior going on under the surface by scanning the image for alignment, quality, and resolution, looking at its properties, optimizing the OCR engine, and using a trained artificial intelligence network to then read the text as a human would.

To achieve Image to Text they will ask you to install the IronOCR OCR library into a Visual Studio project, and you will simply need to download the IronOcr DLL or use NuGet. And by following the steps given, you’ll be able to put this all together and discover that even when putting an imperfect document into Iron OCR: it can accurately read its content to a statistical accuracy of about 98% to 99%, even though the document is badly formatted, skewed, and had a lot of digital noise. This is unique to Iron OCR and is a feature you will not find in standard OCR libraries.

To continue to learn more about their ocr Iron OCR, we recommend you try the code samples on the IronOCR homepage and visit to check out their different products. Remember, that whether it’s a product inquiry or a question about integration or licensing queries, the Iron product development team is on hand to respond to all of your questions. And don’t forget to check out their other products and their available promotion of 5 products for the price of 2!

Contact Info:

Name: Iron OCR Press Department
Organization: Iron OCR
Address: 500, N. Michigan Ave, Chicago, IL, 60611
Phone: 312-205-0108

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