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

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

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

ocr with best dataset with pdf extractor sdk in VBScript using ByteScout PDF Suite

Build ocr with best dataset with pdf extractor sdk in VBScript

Step-by-step instructions on how to do ocr with best dataset with pdf extractor sdk in VBScript

We regularly create and update our sample code library so you may quickly learn ocr with best dataset with pdf extractor sdk and the step-by-step process in VBScript. ByteScout PDF Suite was created to assist ocr with best 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.

If you want to quickly learn then these fast application programming interfaces of ByteScout PDF Suite for VBScript plus the guideline and the VBScript code below will help you quickly learn ocr with best dataset with pdf extractor sdk. 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. VBScript application implementation mostly involves various stages of the software development so even if the functionality works please check it with your data and the production environment.

Trial version along with the source code samples for VBScript can be downloaded from our website

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ExtractTextFromImageOrScannedPdfUsingBestOcrDataset.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_best"
			
' 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_best

' 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