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ByteScout PDF Extractor SDK – C# – OCR Analyser

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OCR analyser in C# and ByteScout PDF Extractor SDK

How To: tutorial on OCR analyser in C#

The coding tutorials are designed to help you test the features without need to write your own code. ByteScout PDF Extractor SDK was made to help with OCR analyser 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.

C#, code samples for C#, developers help to speed up the application development and writing a code when using 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. Enjoy writing a code with ready-to-use sample C# codes to add OCR analyser functions using ByteScout PDF Extractor SDK in C#.

ByteScout PDF Extractor SDK free trial version is available for download from our website. Free trial also includes programming tutorials along with source code samples.

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Program.cs
      
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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