ByteScout PDF Suite - C# - OCR With Fast Dataset with PDF Extractor SDK - ByteScout

ByteScout PDF Suite – C# – OCR With Fast Dataset with PDF Extractor SDK

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OCR with fast dataset with PDF extractor SDK in C# using ByteScout PDF Suite

Build OCR with fast dataset with PDF extractor SDK in C#

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Step-by-step instructions on how to do OCR with fast dataset with PDF extractor SDK in C#

These source code samples are assembled by their programming language and functions they use. ByteScout PDF Suite was created to assist OCR with fast dataset with PDF extractor SDK in C#. ByteScout PDF Suite is the bundle that provides six different SDK libraries to work with PDF from generating rich PDF reports to extracting data from PDF documents and converting them to HTML. This bundle includes PDF (Generator) SDK, PDF Renderer SDK, PDF Extractor SDK, PDF to HTML SDK, PDF Viewer SDK and PDF Generator SDK for Javascript.

This rich and prolific sample source code in C# for ByteScout PDF Suite contains various functions and options you should do calling the API to implement OCR with fast dataset with PDF extractor SDK. To use OCR with fast dataset with PDF extractor SDK in your C# project or application just copy & paste the code and then run your app! Enjoy writing a code with ready-to-use sample C# codes to implement OCR with fast dataset with PDF extractor SDK using ByteScout PDF Suite.

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Program.cs
      
using System.Diagnostics; using Bytescout.PDFExtractor; // This example demonstrates the use of Optical Character Recognition (OCR) to extract text // from scanned PDF documents and raster images. // To make OCR work you should add the following references to your project: // 'Bytescout.PDFExtractor.dll', 'Bytescout.PDFExtractor.OCRExtension.dll'. namespace OCRExample { class Program { static void Main(string[] args) { // Create Bytescout.PDFExtractor.TextExtractor instance TextExtractor extractor = new TextExtractor(); extractor.RegistrationName = "demo"; extractor.RegistrationKey = "demo"; // Load sample PDF document extractor.LoadDocumentFromFile("sample_ocr.pdf"); // Enable Optical Character Recognition (OCR) // in .Auto mode (SDK automatically checks if needs to use OCR or not) extractor.OCRMode = OCRMode.Auto; // Set the location of OCR language data files extractor.OCRLanguageDataFolder = @"c:\Program Files\Bytescout PDF Extractor SDK\ocrdata_fast\"; // 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/tree/master/ocrdata_fast // Set PDF document rendering resolution extractor.OCRResolution = 300; // You can also apply various preprocessing filters // to improve the recognition on low-quality scans. // 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. // Save extracted text to file extractor.SaveTextToFile("output.txt"); // Cleanup extractor.Dispose(); // Open result document in default associated application (for demo purpose) ProcessStartInfo processStartInfo = new ProcessStartInfo("output.txt"); processStartInfo.UseShellExecute = true; Process.Start(processStartInfo); } } }

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ON-PREMISE OFFLINE SDK

60 Day Free Trial or Visit ByteScout PDF Suite Home Page

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