ByteScout PDF Extractor SDK – VBScript – OCR With Fast Dataset

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ByteScout PDF Extractor SDK – VBScript – OCR With Fast Dataset

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ByteScout-PDF-Extractor-SDK-VBScript-OCR-With-Fast-Dataset.pdf

OCR with fast dataset in VBScript and ByteScout PDF Extractor SDK

How to code OCR with fast dataset in VBScript: How-To tutorial

The documentation is designed to help you to implement the features on your side. OCR with fast dataset in VBScript can be implemented with ByteScout PDF Extractor SDK. ByteScout PDF Extractor SDK is the Software Development Kit (SDK) that is designed to help developers with data extraction from unstructured documents like pdf, tiff, scans, images, scanned and electronic forms. The library is powered by OCR, computer vision and AI to provide unique functionality like table detection, automatic table structure extraction, data restoration, data restructuring and reconstruction. Supports PDF, TIFF, PNG, JPG images as input and can output CSV, XML, JSON formatted data. Includes full set of utilities like pdf splitter, pdf merger, searchable pdf maker.

This rich sample source code in VBScript for ByteScout PDF Extractor SDK includes the number of functions and options you should do calling the API to implement OCR with fast dataset. To do OCR with fast dataset in your VBScript project or application you may simply copy & paste the code and then run your app! Enjoy writing a code with ready-to-use sample VBScript codes to add OCR with fast dataset functions using ByteScout PDF Extractor SDK in VBScript.

Visit our website provides for free trial version of ByteScout PDF Extractor SDK. Free trial includes lots of source code samples to help you with your VBScript project.

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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