ByteScout PDF Extractor SDK – VBScript – OCR (Optical Character Recognition)

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ByteScout PDF Extractor SDK – VBScript – OCR (Optical Character Recognition)


' 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

' Enable Optical Character Recognition (OCR)
extractor.OCRMode = 1 ' OCRMode.Auto = 1

' Set the location of "tessdata" folder containing language data files
extractor.OCRLanguageDataFolder = "c:\Program Files\Bytescout PDF Extractor SDK\Redistributable\net2.00\tessdata"
' Set OCR language
' "eng" for english, "deu" for German, "fra" for French, "spa" for Spanish etc - according to files in "tessdata" folder.
extractor.OCRLanguage = "eng"  
' Find more language files at

' 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

' Remove vertical or horizontal lines (sometimes helps to avoid OCR engine's page segmentation errors)

' Repair broken letters

' Remove noise

' Apply Gamma Correction	

' 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

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

Set extractor = Nothing

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