ByteScout Data Extraction Suite – VB.NET – Convert scanned pdf to csv with pdf extractor sdk

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ByteScout Data Extraction Suite – VB.NET – Convert scanned pdf to csv with pdf extractor sdk

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ByteScout-Data-Extraction-Suite-VB-NET-Convert-scanned-pdf-to-csv-with-pdf-extractor-sdk.pdf

How to convert scanned pdf to csv with pdf extractor sdk in VB.NET and ByteScout Data Extraction Suite

How to write a robust code in VB.NET to convert scanned pdf to csv with pdf extractor sdk with this step-by-step tutorial

The sample source codes on this page shows how to convert scanned pdf to csv with pdf extractor sdk in VB.NET. What is ByteScout Data Extraction Suite? It is the set that includes 3 SDK products for data extraction from PDF, scans, images and from spreadsheets: PDF Extractor SDK, Data Extraction SDK, Barcode Reader SDK. It can help you to convert scanned pdf to csv with pdf extractor sdk in your VB.NET application.

Want to quickly learn? This fast application programming interfaces of ByteScout Data Extraction Suite for VB.NET plus the guidelines and the code below will help you quickly learn how to convert scanned pdf to csv with pdf extractor sdk. Just copy and paste the code into your VB.NET application’s code and follow the instructions. Applying VB.NET application mostly includes various stages of the software development so even if the functionality works please test it with your data and the production environment.

All these programming tutorials along with source code samples and ByteScout free trial version are available for download from our website.

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Program.vb

      Imports 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".

Class Program

    Friend Shared Sub Main(args As String())

        ' Create Bytescout.PDFExtractor.CSVExtractor instance
        Dim extractor As 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"
        ' 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 OCRAnalyzer 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 output file in default associated application
        System.Diagnostics.Process.Start("output.csv")

    End Sub
    
End Class