On this page you will learn from code samples for programming in VB.NET.Writing of the code to convert scanned pdf to csv with pdf extractor sdk in VB.NET can be executed by programmers of any level using ByteScout Premium Suite. ByteScout Premium Suite is the set that includes 12 SDK products from ByteScout including tools and components for PDF, barcodes, spreadsheets, screen video recording. It can convert scanned pdf to csv with pdf extractor sdk in VB.NET.
The following code snippet for ByteScout Premium Suite works best when you need to quickly convert scanned pdf to csv with pdf extractor sdk in your VB.NET application. Just copy and paste the code into your VB.NET application’s code and follow the instructions. Further improvement of the code will make it more robust.
Trial version of ByteScout Premium Suite is available for free. Source code samples are included to help you with your VB.NET app.
Imports Bytescout.PDFExtractor ' This example demonstrates the use of Optical Character Recognition (OCR) to extract text into csv ' from scanned PDF documents and raster images. ' To make OCR work you should add the following references to your project: ' "Bytescout.PDFExtractor.dll", "Bytescout.PDFExtractor.OCRExtension.dll". Class Program Friend Shared Sub Main(args As String()) ' Create Bytescout.PDFExtractor.CSVExtractor instance Dim extractor As New CSVExtractor() extractor.RegistrationName = "demo" extractor.RegistrationKey = "demo" ' Load sample PDF document extractor.LoadDocumentFromFile("sample_ocr.pdf") ' Enable Optical Character Recognition (OCR) ' in .Auto mode (SDK automatically checks if needs to use OCR or not) extractor.OCRMode = OCRMode.Auto ' Set the location of OCR language data files extractor.OCRLanguageDataFolder = "c:\Program Files\Bytescout PDF Extractor SDK\ocrdata" ' Set OCR language extractor.OCRLanguage = "eng" ' "eng" for english, "deu" for German, "fra" for French, "spa" for Spanish etc - according to files in "ocrdata" ' Find more language files at https://github.com/bytescout/ocrdata ' Set PDF document rendering resolution extractor.OCRResolution = 300 ' You can also apply various preprocessing filters ' to improve the recognition on low-quality scans. ' 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.SaveCSVToFile("output.csv") ' Cleanup extractor.Dispose() ' Open output file in default associated application System.Diagnostics.Process.Start("output.csv") End Sub End Class