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

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

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

ocr with fast dataset with pdf extractor sdk in VBScript with ByteScout PDF Suite

Learn ocr with fast dataset with pdf extractor sdk in VBScript

Easy to understand coding instructions are written to assist you to try-out the features without the requirement to write your own code. ByteScout PDF Suite helps with ocr with fast dataset with pdf extractor sdk in VBScript. ByteScout PDF Suite is the set that includes 6 SDK products 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.

The below SDK samples describe how to quickly make your application do ocr with fast dataset with pdf extractor sdk in VBScript with the help of ByteScout PDF Suite. Follow the steps-by-step instructions from the scratch to work and copy and paste code for VBScript into your editor. Use of ByteScout PDF Suite in VBScript is also described in the documentation included along with the product.

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

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ExtractTextFromImageOrScannedPdfUsingFastOcrDataset.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_fast"
			
' 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_fast

' 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