Detect, read, and write barcodes in images with LEADTOOLS Barcode technology.
LEADTOOLS barcode recognition SDK features a fast, highly accurate, and reliable barcode engine that outperforms most hardware-supported barcode read products. This software engine permits fast document scanners to maintain full speed while performing barcode recognition operations on-the-fly for document-indexing purposes.
The toolkit allows programmers to integrate this technology into their applications in just a few lines of code (for an example, refer to Barcode Tutorial). Use the toolkit to easily add barcode support for reading and writing over 100 different 1D and 2D barcode symbology types and sub-types. Supported Barcode Symbologies include UPC, EAN, Code 39, Code 128, ITF (2 of 5), CodaBar, GS1 DataBar (formerly RSS14), QR, Data Matrix, PDF417, and Aztec.
For background and full details, see Barcode Technology.
For information about programming with LEADTOOLS Barcode, refer to the See Also section below.
LEADTOOLS Barcode technology is included in the Barcode Pro, Pro Suite, Document, and Medical toolkits.
Does your application require document recognition or conversion, but its implementation language is preventing you from using LEADTOOLS directly? Consider using the LEADTOOLS Cloud Services Web API instead. It is a high-powered and scalable Web API. Its hassle-free interface can be used to integrate advanced OCR, barcode, MICR, and document conversion into any application.
See Also
Getting Started (Guide to Example Programs)
Programming with LEADTOOLS Barcode Functions
Unlocking Special LEAD Features
Help Collections
Raster .NET | C API | C++ Class Library | HTML5 JavaScript
Document .NET | C API | C++ Class Library | HTML5 JavaScript
Medical .NET | C API | C++ Class Library | HTML5 JavaScript
Medical Web Viewer .NET
Multimedia
Direct Show .NET | C API | Filters
Media Foundation .NET | C API | Transforms
Supported Platforms
.NET, Java, Android, and iOS/macOS Assemblies
Imaging, Medical, and Document
C API/C++ Class Libraries
Imaging, Medical, and Document
HTML5 JavaScript Libraries
Imaging, Medical, and Document