ByteScout PDF Extractor SDK – C# – Read Text From Noisy Image

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ByteScout PDF Extractor SDK – C# – Read Text From Noisy Image

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ByteScout-PDF-Extractor-SDK-C-sharp-Read-Text-From-Noisy-Image.pdf

repair text in PDF in C# with ByteScout PDF Extractor SDK

Make repair text in PDF in C#

Tutorial on how to do repair text in PDF in C#

Sample source codes below will show you how to cope with a difficult task, for example, repair text in PDF in C#. ByteScout PDF Extractor SDK was made to help with repair text in PDF in C#. ByteScout PDF Extractor SDK is the Software Development Kit (SDK) that is designed to help developers with data extraction from unstructured documents like pdf, tiff, scans, images, scanned and electronic forms. The library is powered by OCR, computer vision and AI to provide unique functionality like table detection, automatic table structure extraction, data restoration, data restructuring and reconstruction. Supports PDF, TIFF, PNG, JPG images as input and can output CSV, XML, JSON formatted data. Includes full set of utilities like pdf splitter, pdf merger, searchable pdf maker.

The SDK samples like this one below explain how to quickly make your application do repair text in PDF in C# with the help of ByteScout PDF Extractor SDK. In order to implement this functionality, you should copy and paste code below into your app using code editor. Then compile and run your application. This basic programming language sample code for C# will do the whole work for you in implementing repair text in PDF in your app.

Trial version can be obtained from our website for free. It includes this and other source code samples for C#.

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Program.cs

      using Bytescout.PDFExtractor;
using System;

namespace ReadTextFromNoisyImage
{
    class Program
    {
        static void Main(string[] args)
        {
            try
            {
                //Read all text from noisy image file
                using (TextExtractor extractor = new TextExtractor())
                {
                    // Load noisy image document
                    extractor.LoadDocumentFromFile("sample.png");

                    // Set the font repairing OCR mode 
                    extractor.OCRMode = OCRMode.TextFromImagesAndVectorsAndRepairedFonts;

                    // Set the location of OCR language data files
                    extractor.OCRLanguageDataFolder = @"c:\Program Files\Bytescout PDF Extractor SDK\ocrdata\";

                    // Set OCR language
                    extractor.OCRLanguage = "eng"; // "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

                    // Set document rendering resolution
                    extractor.OCRResolution = 300;

                    // You can also apply various preprocessing filters
                    // to improve the recognition on low-quality scans.

					Console.WriteLine("Please wait while PDF Extractor SDK is processing noisy image to read data...");

                    // Automatically deskew skewed scans
                    extractor.OCRImagePreprocessingFilters.AddDeskew();

                    // Remove vertical or horizontal lines (sometimes helps to avoid OCR engine's page segmentation errors)
                    //extractor.OCRImagePreprocessingFilters.AddVerticalLinesRemover();
                    //extractor.OCRImagePreprocessingFilters.AddHorizontalLinesRemover();

                    // Repair broken letters
                    extractor.OCRImagePreprocessingFilters.AddDilate();
                    
                    // Remove noise
                    extractor.OCRImagePreprocessingFilters.AddMedian();

                    // Apply Gamma Correction
                    extractor.OCRImagePreprocessingFilters.AddGammaCorrection();

                    // Add Contrast
                    //extractor.OCRImagePreprocessingFilters.AddContrast(20);

                    // (!) You can use new OCRAnalyser class to find an optimal set of image preprocessing 
                    // filters for your specific document.
                    // See "OCR Analyser" example.

                    //Read all text
                    string allText = extractor.GetText();

                    Console.Clear();
                    Console.WriteLine("Extracted Text: \n\n" + allText);
                }
            }
            catch (Exception ex)
            {
                Console.Clear();
                Console.WriteLine("Exception: " + ex.Message);
            }

            Console.ReadLine();
        }
    }
}