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

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

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OCR with mean dataset with PDF extractor SDK in C# with ByteScout Premium Suite

Simple tutorial on how to do OCR with mean dataset with PDF extractor SDK in C#

We regularly create and update our sample code library so you may quickly learn OCR with mean dataset with PDF extractor SDK and the step-by-step process in C#. ByteScout Premium Suite was created to assist OCR with mean dataset with PDF extractor SDK in C#. ByteScout Premium Suite is the bundle that includes twelve SDK products from ByteScout including tools and components for PDF, barcodes, spreadsheets, screen video recording.

Save time on writing and testing code by using the code below and use it in your application. To use OCR with mean dataset with PDF extractor SDK in your C# project or application just copy & paste the code and then run your app! Updated and detailed documentation and tutorials are available along with installed ByteScout Premium Suite if you’d like to learn more about the topic and the details of the API.

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

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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\"; // 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 // 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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