ByteScout PDF Extractor SDK – C# – Scanned PDF to CSV

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ByteScout PDF Extractor SDK – C# – Scanned PDF to CSV

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ByteScout-PDF-Extractor-SDK-C-sharp-Scanned-PDF-to-CSV.pdf

scanned PDF to CSV in C# with ByteScout PDF Extractor SDK

How to use ByteScout PDF Extractor SDK for scanned PDF to CSV in C#

The documentation is designed to help you to implement the features on your side. ByteScout PDF Extractor SDK was made to help with scanned PDF to CSV in C#. ByteScout PDF Extractor SDK is the SDK is designed to help developers with pdf tables and pdf 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 and other utilities.

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. Use of ByteScout PDF Extractor SDK in C# is also explained in the documentation included along with the product.

Trial version can be downloaded from our website. Source code samples for C# and documentation are included.

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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 into csv 
// 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 ScannedPdfToCSV
{
    class Program
    {
        static void Main(string[] args)
        {
            // Create Bytescout.PDFExtractor.CSVExtractor instance
            CSVExtractor extractor = new CSVExtractor();
            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
            
            // 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.SaveCSVToFile("output.csv");

            // Cleanup
            extractor.Dispose();

            // Open result document in default associated application (for demo purpose)
            ProcessStartInfo processStartInfo = new ProcessStartInfo("output.csv");
            processStartInfo.UseShellExecute = true;
            Process.Start(processStartInfo);
        }
    }
}