ByteScout Document Parser SDK – VB.NET – Parse with OCR

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ByteScout Document Parser SDK – VB.NET – Parse with OCR

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ByteScout-Document-Parser-SDK-VB-NET-Parse-with-OCR.pdf

How to parse with OCR in VB.NET using ByteScout Document Parser SDK

The tutorial below will demonstrate how to parse with OCR in VB.NET

The code below will help you to implement an VB.NET app to parse with OCR. ByteScout Document Parser SDK: the customizable data extraction platform for batch data extraction from documents. Relies on special templates that can be created with no special technical skills required. Supports millions of documents as input and designed to handle multiple threads. Can output data as JSON, CSV, XML or custom format. It can parse with OCR in VB.NET.

Fast application programming interfaces of ByteScout Document Parser SDK for VB.NET plus the instruction and the code below will help you quickly learn how to parse with OCR. Just copy and paste the code into your VB.NET application’s code and follow the instruction. You can use these VB.NET sample examples in one or many applications.

Trial version of ByteScout Document Parser SDK can be downloaded for free from our website. It also includes source code samples for VB.NET and other programming languages.

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Module1.vb

      Imports ByteScout.DocumentParser

' This example demonstrates parsing of scanned documents
' using the Optical Character Recognition (OCR).

Module Module1

    Sub Main()

        Dim template As String = ".\DigitalOcean.yml"
        Dim inputDocument As String = ".\DigitalOcean-scanned.jpg"

        ' Create and activate DocumentParser instance
        Using documentParser As New DocumentParser("demo", "demo")

            ' Enable Optical Character Recognition (OCR) in Auto mode
            ' (DocumentParser automatically detects if OCR Is required).
            documentParser.OCRMode = OCRMode.Auto

            ' Set PDF document rendering resolution
            documentParser.OCRResolution = 300

            ' Set the location of OCR language data files
            documentParser.OCRLanguageDataFolder = "c:\Program Files\ByteScout Document Parser SDK\ocrdata"

            ' Set OCR language
            ' "eng" for english, "deu" for German, "fra" for French, etc. - according to files in "ocrdata" folder
            documentParser.OCRLanguage = "eng"
            ' Find more language files at https://github.com/bytescout/ocrdata

            ' Note: The OCRLanguage can be overridden in a template. 
            ' See the Template Creation Guide.


            ' You can also apply various preprocessing filters
            ' to improve the recognition on low-quality scans.

            ' Automatically deskew skewed scans
            'documentParser.OCRImagePreprocessingFilters.AddDeskew()

            ' Remove vertical or horizontal lines (sometimes helps to avoid OCR engine's page segmentation errors)
            'documentParser.OCRImagePreprocessingFilters.AddVerticalLinesRemover()
            'documentParser.OCRImagePreprocessingFilters.AddHorizontalLinesRemover()

            ' Repair broken letters
            'documentParser.OCRImagePreprocessingFilters.AddDilate()

            ' Remove noise
            'documentParser.OCRImagePreprocessingFilters.AddMedian()

            ' Apply Gamma Correction
            'documentParser.OCRImagePreprocessingFilters.AddGammaCorrection(1.4)

            ' Add Contrast
            'documentParser.OCRImagePreprocessingFilters.AddContrast(20)

            ' Load template
            documentParser.AddTemplate(template)
                
            Console.WriteLine("Template loaded.")
            Console.WriteLine()

            Console.WriteLine({code}quot;Parsing ""{inputDocument}"" with OCR...")
            Console.WriteLine()


            ' Parse document data to JSON format
            Dim jsonString As String = documentParser.ParseDocument(inputDocument, OutputFormat.JSON)

            ' Display parsed data in console
            Console.WriteLine("Parsed data in JSON format:")
            Console.WriteLine()
            Console.WriteLine(jsonString)

        End Using

        Console.WriteLine()
        Console.WriteLine("Press any key to continue...")
        Console.ReadLine()

    End Sub

End Module