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 Iron OCR can use the Tesseract 3, Tesseract 4, and Tesseract 5 engine. It provides these on Windows, Linux, and Mac operating systems, and everything you need is installed automatically when you install the Iron OCR NuGet package: https://www.nuget.org/packages/IronOcr/ Tesseract itself is a command line executable which may not be appropriate for using in real-world scenarios such as web applications. Iron OCR provides the latest Tesseract 5 technology directly to .NET developers without requiring them to install Tesseract onto their host operating system manually. We find that Iron OCR provides an advanced image sampling and upscaling technology, ensuring that even low quality scans get great results with Iron Tesseract: https://ironsoftware.com/csharp/ocr/tutorials/c-sharp-tesseract-ocr/ Iron OCR can be used in any type of .NET project. We find it is regularly popular in the development of server applications and desktop applications. We have also seen customers use it within web applications to scan uploaded content and turn it into text, which can then be purposed for another use, such as a database. Iron OCR allows us to read image files, such as TIFFs, JPGs, GIFs, and PNGs, in .NET using Tesseract. Iron OCR (https://ironsoftware.com/csharp/ocr/) also provides PDF OCR technology using Tesseract within .NET applications. You will be able to find code examples on the Iron Software website showing how to use Iron OCR as a Tesseract alternative for .NET and C# projects. It includes examples of PDF OCR using Tesseract in C#. Please also find information on licensing here: https://ironsoftware.com/csharp/ocr/licensing/ Iron OCR allows developers to treat PDFs as if they were scanned images and provides full functionality for PDF OCR. This includes not only reading PDFs and turning them back into plain text, but also producing PDFs. Iron OCR can use its Tesseract engine to create a search indexable PDF from a flat PDF or image-based contet.
 https://ironsoftware.com/csharp/ocr/tutorials/c-sharp-tesseract-ocr/Last Updated on 4/19/2021 7:33:00 AM
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 What is C# Tesseract OCR . What is C# Tesseract OCR The Tesseract engine optical characters recognition (OCR), is a technology that converts scanned paper documents, PDF files and images into searchable text data. OCR engines detect the characters in an image and convert them into words. This allows developers to search for and edit the document''s content. What is IronOCR. What is IronOCR? IronOcr, another optical character recognition technology, is also available. It''s a.Net Library used to convert images to editable and readable texts. This library allows us to read text from images within our C# application. This library supports more than 100 languages. You can access the text from any image in any language, whether it is English or Persian. https://drive.google.com/file/d/1LV93ZDeHwZdYIqH4H_Brfd00vSVtP8KP/view?usp=sharing https://dev.to/mhamzap10/how-to-use-tesseract-ocr-in-c-9gc https://ironsoftware.com/csharp/ocr/licensing/ This guide will help you understand OCR and how to extract text form images in C# using IronOCR or Tesseract. You will be able develop ASP.Net C# examples in window Form and ASP.Net using this article. This will take an image input and return the text as an output. The text can then be used for any purpose, including searching. What is OCR (Optical Character Recognition)? OCR stands to ""Optical Character Recognition. It recognizes text within digital images. It is often used to recognize text in images and scanned documents. OCR (Optical Color Recognition) software can convert a paper or image to an electronic version. A scanner can scan paper documents or photographs with a printer to create a file that has a digital image. While the file could be JPG/TIFF/PDF, it may only contain an image of the original document. This scanned electronic file, which also contains the image, can be loaded into an OCR software. OCR programs recognize text and can convert the document into editable text.What is C# Tesseract OCR .
 https://dev.to/mhamzap10Last Updated on 10/22/2021 4:06:00 AM
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