What types of project can you create using Iron OCR on .NET Core? Can be used in console, web and desktop applications for .NET 5, Core Framework on windows, Linux, Mac, Azure, AWS etc. https://ironsoftware.com/csharp/ocr/use-case/pdf-ocr-csharp/
Other than PDFs, what type of documents can I read in Iron OCR? Iron OCR can perform Tesseract OCR on almost any modern image format, including JPGs, bitmaps, PNGs, and also .NET system.drawing.image and system.drawing.bitmap objects.
When does Iron OCR excel, and when does it not work so well? Iron OCR is excellent at reading scanned documents that were originally printed. This is excellent when we are trying to index old paper content and work towards a paperless office environment. Iron OCR does not excel when we are trying to look at very small snippets of unclear text or when trying to read handwriting to text in C#. https://www.nuget.org/packages/IronOcr/
IronOCR is an OCR (Optical Character Recognition), library that provides advanced OCR for C# and.NET.
It offers Tesseract OCR for Mac, Windows and Linux.
*.Net Framework 2.0 +
*.Net Standard 2.0+
*.Net Core 2.0+
*.Net 5
* Mono for MacOS or Linux
* Xamarin MacOS
Do you want to convert scanned PDF into Textsearchable PDF? This article will explain how to convert scanned PDF to OCR (Textsearchable pdf) using C# with some add-on tools.We often need to scan files to be used. However, once the image has been scanned, it can't be copied and is in picture format. So we need a technique that will convert the scanned image into a Text searchable document that can easily be copied.
OCR is used to convert images into text in such situations.Optical Character Recognition (or OCR)This technology allows you to convert various types of documents such as PDF files, scanned paper documents or images taken with a digital camera, into editable and searchable data. This C# template allows you to quickly get started with a one-page playground.
Other than PDFs, what type of documents can I read in Iron OCR? Iron OCR can perform Tesseract OCR on almost any modern image format, including JPGs, bitmaps, PNGs, and also .NET system.drawing.image and system.drawing.bitmap objects.
When does Iron OCR excel, and when does it not work so well? Iron OCR is excellent at reading scanned documents that were originally printed. This is excellent when we are trying to index old paper content and work towards a paperless office environment. Iron OCR does not excel when we are trying to look at very small snippets of unclear text or when trying to read handwriting to text in C#. https://www.nuget.org/packages/IronOcr/
IronOCR is an OCR (Optical Character Recognition), library that provides advanced OCR for C# and.NET.
It offers Tesseract OCR for Mac, Windows and Linux.
*.Net Framework 2.0 +
*.Net Standard 2.0+
*.Net Core 2.0+
*.Net 5
* Mono for MacOS or Linux
* Xamarin MacOS
Do you want to convert scanned PDF into Textsearchable PDF? This article will explain how to convert scanned PDF to OCR (Textsearchable pdf) using C# with some add-on tools.We often need to scan files to be used. However, once the image has been scanned, it can't be copied and is in picture format. So we need a technique that will convert the scanned image into a Text searchable document that can easily be copied.
OCR is used to convert images into text in such situations.Optical Character Recognition (or OCR)This technology allows you to convert various types of documents such as PDF files, scanned paper documents or images taken with a digital camera, into editable and searchable data. This C# template allows you to quickly get started with a one-page playground.
Vue d'ensemble
PDF OCR for CSharp est un logiciel de Shareware dans la catégorie Divers développé par PDF OCR for Csharp Development team.
La dernière version de PDF OCR for CSharp est 2021.12.0, publié sur 31/12/2021. Au départ, il a été ajouté à notre base de données sur 23/07/2021.
PDF OCR for CSharp s’exécute sur les systèmes d’exploitation suivants : Windows.
PDF OCR for CSharp n'a pas encore été évalué par nos utilisateurs.
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