ByteScout Data Extraction Suite – VBScript – Pdf ocr (optical character recognition) with pdf extractor sdk

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ByteScout Data Extraction Suite – VBScript – Pdf ocr (optical character recognition) with pdf extractor sdk

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ByteScout-Data-Extraction-Suite-VBScript-Pdf-ocr-(optical-character-recognition)-with-pdf-extractor-sdk.pdf

pdf ocr (optical character recognition) with pdf extractor sdk in VBScript with ByteScout Data Extraction Suite

Learn to code pdf ocr (optical character recognition) with pdf extractor sdk in VBScript: How-To tutorial

These source code samples are assembled by their programming language and functions they use. ByteScout Data Extraction Suite was made to help with pdf ocr (optical character recognition) with pdf extractor sdk in VBScript. ByteScout Data Extraction Suite is the bundle that includes three SDK tools for data extraction from PDF, scans, images and from spreadsheets: PDF Extractor SDK, Data Extraction SDK, Barcode Reader SDK.

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 Data Extraction 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. Use of ByteScout Data Extraction Suite in VBScript is also described in the documentation included along with the product.

Visit our website to get a free trial version of ByteScout Data Extraction Suite. Free trial contains many of source code samples to help you with your VBScript project.

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ExtractTextFromImageOrScannedPdfUsingOcr.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

' 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