ByteScout PDF Extractor SDK – VB6 – Scanned PDF To Text

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ByteScout PDF Extractor SDK – VB6 – Scanned PDF To Text

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ByteScout-PDF-Extractor-SDK-VB6-Scanned-PDF-To-Text.pdf

scanned PDF to text in VB6 and ByteScout PDF Extractor SDK

scanned PDF to text in VB6

Today we will explain the steps and algorithm of implementing scanned PDF to text and how to make it work in your application. ByteScout PDF Extractor SDK was made to help with scanned PDF to text in VB6. 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.

VB6, code samples for VB6, developers help to speed up the application development and writing a code when using ByteScout PDF Extractor SDK. This VB6 sample code should be copied and pasted into your application’s code editor. Then just compile and run it to see how it works. Use of ByteScout PDF Extractor SDK in VB6 is also explained in the documentation included along with the product.

On our website you may get trial version of ByteScout PDF Extractor SDK for free. Source code samples are included to help you with your VB6 application.

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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