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

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

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

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

This code in VB.NET shows how to convert scanned pdf to json with pdf extractor sdk with this how to tutorial

Every ByteScout tool includes simple example VB.NET source codes that you can get here or in the folder with installed ByteScout product. ByteScout Data Extraction Suite is the bundle that includes three SDK tools for data extraction from PDF, scans, images and from spreadsheets: PDF Extractor SDK, Data Extraction SDK, Barcode Reader SDK. It can convert scanned pdf to json with pdf extractor sdk in VB.NET.

Want to save time? You will save a lot of time on writing and testing code as you may just take the VB.NET code from ByteScout Data Extraction Suite for convert scanned pdf to json with pdf extractor sdk below and use it in your application. Just copy and paste the code into your VB.NET application’s code and follow the instructions. Further improvement of the code will make it more robust.

ByteScout provides the free trial version of ByteScout Data Extraction Suite along with the documentation and source code samples.

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Program.vb

      Imports Bytescout.PDFExtractor

' This example demonstrates the use of Optical Character Recognition (OCR) to extract text into json
' 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.JSONExtractor instance
        Dim extractor As New JSONExtractor()
        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 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.SaveJSONToFile("output.json")

        ' Cleanup
        extractor.Dispose()

        ' Open output file in default associated application
        System.Diagnostics.Process.Start("output.json")

    End Sub
    
End Class