ByteScout PDF Suite – VBScript – Ocr with mean dataset with pdf extractor sdk

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ByteScout PDF Suite – VBScript – Ocr with mean dataset with pdf extractor sdk

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ByteScout-PDF-Suite-VBScript-Ocr-with-mean-dataset-with-pdf-extractor-sdk.pdf

ocr with mean dataset with pdf extractor sdk in VBScript and ByteScout PDF Suite

Simple tutorial on how to do ocr with mean dataset with pdf extractor sdk in VBScript

These sample source codes given below will show you how to handle a complex task, for example, ocr with mean dataset with pdf extractor sdk in VBScript. ByteScout PDF Suite was made to help with ocr with mean dataset with pdf extractor sdk in VBScript. ByteScout PDF Suite is the bundle that provides six different SDK libraries to work with PDF from generating rich PDF reports to extracting data from PDF documents and converting them to HTML. This bundle includes PDF (Generator) SDK, PDF Renderer SDK, PDF Extractor SDK, PDF to HTML SDK, PDF Viewer SDK and PDF Generator SDK for Javascript.

Want to speed up the application development? Then this VBScript, code samples for VBScript, developers help to speed up the application development and writing a code when using ByteScout PDF Suite. If you want to know how it works, then this VBScript sample code should be copied and pasted into your application’s code editor. Then just compile and run it. Enjoy writing a code with ready-to-use sample VBScript codes to add ocr with mean dataset with pdf extractor sdk functions using ByteScout PDF Suite in VBScript.

If you want to try other samples for VBScript then free trial version of ByteScout PDF Suite is available on our website.

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ExtractTextFromImageOrScannedPdfUsingMeanOcrDataset.vbs

      ' This example demonstrates the use of Optical Character Recognition (OCR) to extract text 
' from scanned PDF documents and raster images.


' Create TextExtractor object
Set extractor = CreateObject("Bytescout.PDFExtractor.TextExtractor")
extractor.RegistrationName = "demo"
extractor.RegistrationKey = "demo"

' Load sample PDF document
extractor.LoadDocumentFromFile("..\..\sample_ocr.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/tree/master/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.

	
' Save extracted text to file
extractor.SaveTextToFile("output.txt")

WScript.Echo "Extracted text saved as 'output.txt'."

Set extractor = Nothing