The samples of source code documentation give a quick and simple method to apply a required functionality into your application. Ocr with best dataset with pdf extractor sdk in VBScript can be applied with ByteScout Data Extraction Suite. ByteScout Data Extraction Suite is the set that includes 3 SDK products for data extraction from PDF, scans, images and from spreadsheets: PDF Extractor SDK, Data Extraction SDK, Barcode Reader SDK.
VBScript code snippet like this for ByteScout Data Extraction Suite works best when you need to quickly implement ocr with best dataset with pdf extractor sdk in your VBScript application. To use ocr with best dataset with pdf extractor sdk in your VBScript project or application just copy & paste the code and then run your app! This basic programming language sample code for VBScript will do the whole work for you in implementing ocr with best dataset with pdf extractor sdk in your app.
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' 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_best" ' 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_best ' 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