The samples of source code documentation give a quick and simple method to apply a required functionality into your application. ByteScout Premium Suite was made to help with ocr with fast dataset with pdf extractor sdk in VBScript. ByteScout Premium Suite is the bundle that includes twelve SDK products from ByteScout including tools and components for PDF, barcodes, spreadsheets, screen video recording.
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 Premium Suite. To use ocr with fast dataset with pdf extractor sdk in your VBScript project or application just copy & paste the code and then run your app! Further improvement of the code will make it more robust.
If you want to try other samples for VBScript then free trial version of ByteScout Premium Suite is available on our website.
' 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