
Sirv
ABOUT US
To gain the full potential from images, we must no longer perceive images as static assets. Instead, we should view them as being infinitely adaptable.
A single master image is capable of transforming into millions of variants. Size, resolution, style, interactivity – one image can be expressed in all kinds of ways. Sirv lets you do that, at huge scale, in a fraction of a second. From scaling to optimizing, from colorizing to watermarking, now you’re truly in control.
OUR PAST
Founded in 2007 in Oxford, United Kingdom, our goal was to bring product images to life online.
Our first creation is now the world’s longest established image zoom tool, Magic Zoom. Extended into a full suite of rich image viewers for 360 spin, slideshow and image galleries, our larger customers Walmart, Tesco, Carrefour, Toyota and Sony were asking to do more with their images.
Sirv was born. A radical new image hosting platform, with the capability needed to serve the world’s largest retailers.
OUR FUTURE
Having successfully grown Sirv into the complete image processing platform for business, our next major development will be ever greater degrees of automation and intelligence. Driven by our customers’ goals, Sirv is creating new tools to deliver richer experiences, even faster loading and deeper levels of creative control.
WHY SIRV?
We built Sirv because images deserve special treatment. They’ve long been neglected, despite accounting for 60% of all web traffic. Image processing provides a huge opportunity for all websites and apps.
Images provide a sites’ emotion. Engaging users. Portraying a brands’ personality. Every time an image is served that is not perfectly suited to that users device, their experience is dampened. Would you knowingly serve an image twice as large as it needs to be? Why serve anything but the most optimal image format? Why serve a low-res image to a high-res display?
Sirv solves all the common inefficiencies, by delivering the most perfectly sized and optimized image in the most efficient format to each individual user.