The documentation is crafted to assist you to apply the features on your side easily. ByteScout Data Extraction Suite helps with ocr with fast dataset 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.
If you want to quickly learn then these fast application programming interfaces of ByteScout Data Extraction Suite for VBScript plus the guideline and the VBScript code below will help you quickly learn ocr with fast dataset with pdf extractor sdk. If you want to implement this functionality, you should copy and paste code below into your app using code editor. Then compile and run your application. Further improvement of the code will make it more robust.
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.
' 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