ByteScout Text Recognition SDK – C# – Extract Text From Areas

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ByteScout Text Recognition SDK – C# – Extract Text From Areas

printable version:
ByteScout-Text-Recognition-SDK-C-sharp-Extract-Text-From-Areas.pdf

How to extract text from areas in C# and ByteScout Text Recognition SDK

Tutorial on how to extract text from areas in C#

These source code samples are listed and grouped by their programming language and functions they use. Want to extract text from areas in your C# app? ByteScout Text Recognition SDK is designed for it. ByteScout Text Recognition SDK is the SDK designed to help developers in quick implementation of high quality OCR text recognition from scanned images and pdf.

This rich sample source code in C# for ByteScout Text Recognition SDK includes the number of functions and options you should do calling the API to extract text from areas. Just copy and paste the code into your C# application’s code and follow the instruction. Implementing C# application typically includes multiple stages of the software development so even if the functionality works please test it with your data and the production environment.

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.Drawing;
using ByteScout.TextRecognition;

namespace TextRecognitionExample
{
    class Program
    {
        static void Main(string[] args)
        {
            string inputDocument = @".\areas-sample.pdf";
            int pageIndex = 0;
            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_best\";

                    // 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"; 
                                        
                    // Get page size (in pixels). Size of PDF document is computed from PDF Points 
                    // and the rendering resolution specified by `textRecognizer.PDFRenderingResolution` (default 300 DPI)
                    Size pageSize = textRecognizer.GetPageSize(pageIndex);
                    
                    // Add area of interest as a rectangle at the top-right corner of the page
                    textRecognizer.RecognitionAreas.Add(pageSize.Width / 2, 0, pageSize.Width / 2, 300);
                    // Add area of interest as a rectangle at the bottom-left corner of the page,
                    // and indicate it should be rotated at 90 deg
                    textRecognizer.RecognitionAreas.Add(0, pageSize.Height / 2, 300, pageSize.Height / 2, AreaRotation.Rotate90FlipNone);

                    // Now, you can get recognized text for further analysis as a list of objects 
                    // containing coordinates, object kind, confidence.
                    OCRObjectList ocrObjectList = textRecognizer.GetOCRObjects(pageIndex);
                    foreach (OCRObject ocrObject in ocrObjectList)
                        Console.WriteLine(ocrObject.ToString());

                    // ... or you can save recognized text pieces to file
                    textRecognizer.KeepTextFormatting = false; // save without formatting
                    textRecognizer.SaveText(outputDocument, pageIndex, pageIndex);


                    // 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();
        }
    }
}