ByteScout Data Extraction Suite – Visual Basic 6 – Convert scanned pdf to text with pdf extractor sdk

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ByteScout Data Extraction Suite – Visual Basic 6 – Convert scanned pdf to text with pdf extractor sdk

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ByteScout-Data-Extraction-Suite-Visual-Basic-6-Convert-scanned-pdf-to-text-with-pdf-extractor-sdk.pdf

How to convert scanned pdf to text with pdf extractor sdk in Visual Basic 6 with ByteScout Data Extraction Suite

Step-by-step tutorial on how to convert scanned pdf to text with pdf extractor sdk in Visual Basic 6

The sample source code below will teach you how to convert scanned pdf to text with pdf extractor sdk in Visual Basic 6. 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 text with pdf extractor sdk in your Visual Basic 6 application.

Want to save time? You will save a lot of time on writing and testing code as you may just take the Visual Basic 6 code from ByteScout Data Extraction Suite for convert scanned pdf to text with pdf extractor sdk below and use it in your application. Follow the instructions from scratch to work and copy the Visual Basic 6 code. Check Visual Basic 6 sample code samples to see if they respond to your needs and requirements for the project.

The trial version of ByteScout Data Extraction Suite can be downloaded for free from our website. It also includes source code samples for Visual Basic 6 and other programming languages.

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Form1.frm

      VERSION 5.00
Begin VB.Form Form1 
   Caption         =   "Scanned PDF to Text"
   ClientHeight    =   1095
   ClientLeft      =   120
   ClientTop       =   465
   ClientWidth     =   3675
   LinkTopic       =   "Form1"
   ScaleHeight     =   1095
   ScaleWidth      =   3675
   StartUpPosition =   3  'Windows Default
   Begin VB.CommandButton cmd_scanned_pdf_to_text 
      Caption         =   "Convert Scanned PDF to Text"
      Height          =   855
      Left            =   120
      TabIndex        =   0
      Top             =   120
      Width           =   3495
   End
End
Attribute VB_Name = "Form1"
Attribute VB_GlobalNameSpace = False
Attribute VB_Creatable = False
Attribute VB_PredeclaredId = True
Attribute VB_Exposed = False
Private Sub cmd_scanned_pdf_to_text_Click()
    
    ' Hanlde Error
    On Error GoTo ErrorHandler:
    
    ' Create Bytescout.PDFExtractor.TextExtractor object
    Set extractor = CreateObject("Bytescout.PDFExtractor.TextExtractor")
    
    ' Set Registration name and key
    extractor.RegistrationName = "demo"
    extractor.RegistrationKey = "demo"
  
    ' Load sample PDF document
    extractor.LoadDocumentFromFile "sample.pdf"
    
    ' Enable Optical Character Recognition (OCR)
    extractor.OCRMode = 1 ' OCRMode.Auto = 1
    
    ' Set the location of OCR language data files
    extractor.OCRLanguageDataFolder = "c:\Program Files\Bytescout PDF Extractor SDK\ocrdata"
    
    ' Set OCR language
    ' "eng" for english, "deu" for German, "fra" for French, "spa" for Spanish etc - according to files in "ocrdata" folder.
    extractor.OCRLanguage = "eng"
    ' 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.
    ' But they significantly hit the performance, so do not enable them by default.
    
    ' 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.

    
    ' Peform Save to Text file
    extractor.SaveTextToFile "output.txt"
    
    ' Show Success Message
    MsgBox "Extracted data from scanned PDF are saved to 'output.text' file.", vbInformation, "Success"
    
    ' Close form
    Unload Me
    
ErrorHandler:
If Err.Number <> 0 Then
    MsgBox Err.Description, vbInformation, "Error"
End If

End Sub

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Scanned_PDF_To_Text.vbp

      Type=Exe
Reference=*\G{00020430-0000-0000-C000-000000000046}#2.0#0#..\..\..\..\..\..\..\..\..\Windows\SysWOW64\stdole2.tlb#OLE Automation
Reference=*\G{F1D62CEE-68AA-4F38-9DB0-8021C13255D8}#9.1#0#..\..\..\..\..\..\..\..\..\WINDOWS\SYSWOW64\Bytescout.PDFRenderer.tlb#ByteScout PDF Renderer SDK [TRIAL]
Form=Form1.frm
Startup="Form1"
Command32=""
Name="ScannedPDFToText"
HelpContextID="0"
CompatibleMode="0"
MajorVer=1
MinorVer=0
RevisionVer=0
AutoIncrementVer=0
ServerSupportFiles=0
VersionCompanyName="Hiren"
CompilationType=0
OptimizationType=0
FavorPentiumPro(tm)=0
CodeViewDebugInfo=0
NoAliasing=0
BoundsCheck=0
OverflowCheck=0
FlPointCheck=0
FDIVCheck=0
UnroundedFP=0
StartMode=0
Unattended=0
Retained=0
ThreadPerObject=0
MaxNumberOfThreads=1