The 1D Barcode VCL components is a set of components designed for generating and printing barcode in your Delphi or C++ Builder applications. Developers use the components set like any other VCL component. This effective and powerful components set extends your applications with barcode technology. It is written in 100% Delphi, there isn't any dll file is required.

The 2D Barcode FMX components is a set of FireMonkey components designed for generating and printing 2D barcode symbols in your Delphi or C++ Builder applications. Developers use the components set like any other FMX components. This effective and powerful components set extends your applications with 2-dimensional barcode technology. It is written in 100% Delphi, there isn't any dll file is required.

The 2D Barcode VCL components is a set of components designed for generating and printing barcode symbols in your Delphi or C++ Builder applications. Developers use the components set like any other VCL components. This effective and powerful components set extends your applications with 2-dimensional barcode technology. It is written in 100% Delphi, there isn't any dll file is required.

Spire.Office for .NET is a combination of Enterprise-Level Office .NET components offered by E-iceblue. It includes Spire.Doc, Spire.XLS, Spire.Spreadsheet, Spire.Presentation, Spire.PDF, Spire.DataExport, Spire.OfficeViewer, Spire.PDFViewer, Spire.DocViewer, Spire.Barcode and Spire.Email. Spire.Office contains the most up-to-date versions of the above .NET components.

IronBarcode allows developers to read & write Barcodes and QR Codes within .Net Applications & websites. Reading or writing barcodes onkly requires a single line of code with Iron Barcode. The .Net Barcode Library reads and writes most Barcode and QR standards. These include code 39/93/128, UPC A/E, EAN 8/13, ITF, RSS 14 / Expanded, Databar, CodaBar, Aztec, Data Matrix, MaxiCode, PDF417, MSI, Plessey, USPS, and QR. The barcode result data includes type, text, binary data, page, and image file.

IronOCR is unique in its ability to automatically detect and read text from imperfectly scanned images and PDF documents. The AutoOCR Class provides the simplest (though not always fastest) way to extract text from images and documents - because it will automatically correct and sharpen low resolution scans, remove background noise, skew, distortion and perspective as well as enhancing resolution & contrast.