Improve your mobile user experience, device analytics, and image optimization. Get the industry’s most advanced and innovative device detection and image optimization solutions. Architected to deliver accuracy and speed, all with enterprise-level support. 54% of websites use Google Analytics and WURFL for device detection W3Techs. 

Today, 20 years after its inception, WURFL is the industry standard for Device Detection and intelligence. The original concept of storing device data into a large XML file accessed through a programming API still applies today and represents the essence of WURFL, but many important things have improved along the way.

The WURFL API reads the headers of the HTTP request generated by the device and extracts the User Agent string along with other headers. Next, the WURFL API uses a finely-tuned matching algorithm to identify the device and extract its “capabilities” (e.g. device model, browser, OS, screen width, etc.) from a data source (the WURFL XML file). With these device capabilities results, developers can write code that will accomplish the goals of multiple use-cases, ranging from mobile experience optimization, to online advertising (Ad Tech), to Analytics and Machine Learning. For an introduction to Device Detection, this document will give you an overview of the technology and present all the use-cases for Device Detection