The example source codes on this page will display you how to make OCR analyser with PDF extractor SDK in C#. ByteScout Premium Suite was created to assist OCR analyser with PDF extractor SDK in C#. ByteScout Premium Suite is the set that includes 12 SDK products from ByteScout including tools and components for PDF, barcodes, spreadsheets, screen video recording.
C# code snippet like this for ByteScout Premium Suite works best when you need to quickly implement OCR analyser with PDF extractor SDK in your C# application. Follow the steps-by-step instructions from the scratch to work and copy and paste code for C# into your editor. Further improvement of the code will make it more robust.
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using System; using System.Drawing; using System.Diagnostics; using Bytescout.PDFExtractor; // This example demonstrates the use of OCR Analyser - a tooling class for analysis of scanned documents // in PDF or raster image formats to find best parameters for Optical Character Recognition (OCR) that // provide highest recognition quality. // To make OCR work you should add the following references to your project: // 'Bytescout.PDFExtractor.dll', 'Bytescout.PDFExtractor.OCRExtension.dll'. namespace OCRAnalyser { class Program { static void Main(string[] args) { // Input document string inputDocument = @".\sample_ocr.pdf"; // Document page index int pageIndex = 0; // Area of the document page to perform the analysis (optional). // RectangleF.Empty means the full page. RectangleF rectangle = RectangleF.Empty; // new RectangleF(100, 50, 350, 250); // Location of language data files string ocrLanguageDataFolder = @"c:\Program Files\Bytescout PDF Extractor SDK\ocrdata_best\"; // OCR language string 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 // Create OCRAnalyzer instance and activate it with your registration information using (OCRAnalyzer ocrAnalyzer = new OCRAnalyzer("demo", "demo")) { // Display analysis progress ocrAnalyzer.ProgressChanged += (object sender, string message, double progress, ref bool cancel) => { Console.WriteLine(message); }; // Load document to OCRAnalyzer ocrAnalyzer.LoadDocumentFromFile(inputDocument); // Setup OCRAnalyzer ocrAnalyzer.OCRLanguage = ocrLanguage; ocrAnalyzer.OCRLanguageDataFolder = ocrLanguageDataFolder; // Set page area for analysis (optional) ocrAnalyzer.SetExtractionArea(rectangle); // Perform analysis and get results OCRAnalysisResults analysisResults = ocrAnalyzer.AnalyzeByOCRConfidence(pageIndex); // Now extract the text using detected OCR parameters string outputDocument = @".\result.txt"; // Create TextExtractor instance using (TextExtractor textExtractor = new TextExtractor("demo", "demo")) { // Load document to TextExtractor textExtractor.LoadDocumentFromFile(inputDocument); // Setup TextExtractor textExtractor.OCRMode = OCRMode.Auto; textExtractor.OCRLanguageDataFolder = ocrLanguageDataFolder; textExtractor.OCRLanguage = ocrLanguage; // Apply analysis results to TextExtractor instance ocrAnalyzer.ApplyResults(analysisResults, textExtractor); // Set extraction area (optional) textExtractor.SetExtractionArea(rectangle); // Save extracted text to file textExtractor.SaveTextToFile(outputDocument); // Open result document in default associated application (for demo purpose) ProcessStartInfo processStartInfo = new ProcessStartInfo(outputDocument); processStartInfo.UseShellExecute = true; Process.Start(processStartInfo); } } } } }
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