ByteScout Text Recognition SDK – C# – Use Text Auto Corrections

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ByteScout Text Recognition SDK – C# – Use Text Auto Corrections

printable version:
ByteScout-Text-Recognition-SDK-C-sharp-Use-Text-Auto-Corrections.pdf

How to use text auto corrections in C# and ByteScout Text Recognition SDK

Write code in C# to use text auto corrections with this step-by-step tutorial

Sample source code below will show you how to cope with a difficult task like use text auto corrections in C#. ByteScout Text Recognition SDK is the text recognition SDK to help with extraction of text using OCR from scanned images and documents. Supports English and non-Latin languages, can take PDF as input. It can be used to use text auto corrections using C#.

C# code samples for C# developers help to speed up coding of your application when using ByteScout Text Recognition SDK. In your C# project or application you may simply copy & paste the code and then run your app! Enjoy writing a code with ready-to-use sample codes in C#.

Free trial version of ByteScout Text Recognition SDK is available for download from our website. Get it to try other source code samples for C#.

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Program.cs

      using System;
using System.Diagnostics;
using System.Text.RegularExpressions;
using ByteScout.TextRecognition;

namespace TextRecognitionExample
{
    class Program
    {
        static void Main(string[] args)
        {
            string inputDocument = @".\bad-quality.png";
            string outputDocument = @".\result.txt";

            // Create and activate TextRecognizer instance
            using (TextRecognizer textRecognizer = new TextRecognizer("demo", "demo"))
            {
                try
                {
                    // Load document (image or PDF)
                    textRecognizer.LoadDocument(inputDocument);

                    // Set the location of OCR language data files
                    textRecognizer.OCRLanguageDataFolder = @"c:\Program Files\ByteScout Text Recognition SDK\ocrdata_fast\";

                    // Set OCR language.
                    // "eng" for english, "deu" for German, "fra" for French, "spa" for Spanish, etc. - according to files in "ocrdata" folder
                    // Find more language files at https://github.com/bytescout/ocrdata
                    textRecognizer.OCRLanguage = "eng"; 


                    // Add error corrections that will be applied after the recognition.
                    textRecognizer.Corrections.Add("Tut ", "Test ");
                    textRecognizer.Corrections.Add("Recog\\w{1,}on", "Recognition", true);


                    // Recognize text from all pages and save it to file
                    textRecognizer.SaveText(outputDocument);

                    // Open the result file in default associated application (for demo purposes)
                    Process.Start(outputDocument);
                }
                catch (Exception exception)
                {
                    Console.WriteLine(exception);
                }
            }

            Console.WriteLine();
            Console.WriteLine("Press any key...");
            Console.ReadKey();
        }
    }
}