![]() This is a very basic test, but things will get more complicated as the tutorial continues. In this simple example we will test the accuracy of our C# OCR library to read text from a PNG Which results in 100% accuracy with the following text: IronOCR Simple Example Can correct low quality and skewed scans to get the best results from tesseract.Supports PDFS, MultiFrame Tiffs and all major image formats without configuration.Manage the complex Tesseract dictionary system using NuGet packages.Supports Xamarin, Mono, Azure and Docker.Has improved accuracy over and speed over traditional Tesseract.Runs the latest engines: Tesseract 5 ( as well as Tesseract 4 & 3).Doesn't require Tesseract to be installed on your machine.Works straight out of the box in pure.We use IronOCR for Tesseract management because its us unique in that it: PM > Install-Package IronOcr Why IronOCR? To do this, we download the IronOcr DLL or use NuGet. To achieve "Image to Text" we will install the IronOCR library into a Visual Studio project. We will use the IronOcr.IronTesseract class to recognize text within images and look at the nuances of how to use Iron Tesseract OCR to get the highest performance in terms of accuracy and speed when reading text from images in. Export OCR Scan Results as Text or Searchable PDF.Use up to 125 international languages via Language Packs.Adjust Crop Regions to Read Parts of an Image.Download the OCR Image to Text IronOCR Library.Failed to locate 'tessdata ra.traineddata even after successfully unpacking the language pack.Troubleshooting older version of System.Drawing.Debugging Azure Functions Project on Local Machine.Save image with different image processing applied.X and Y coordinates change in OcrResult Class.Reduce file size of output PDF in IronOcr.Visual C++ Redistributable for Visual Studio.How to Make an Engineering Support Request for IronOCR.
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