This Shazam-Like App Uses Image Recognition To Scan Paintings

This Shazam-Like App Uses Image Recognition To Scan Paintings
Arts & Culture

Smartify provides deeper insight into artworks and their creator

Matt Vitone
  • 8 march 2017

As an art-lover with short-term memory, I often have trouble recounting particular paintings I’ve seen on museum or gallery trips. Thankfully, there’s now an app for that, courtesy of UK-based Smartify.

Using your smartphone’s camera, the app’s image recognition is trained to identify artworks. Scanned works will then provide users with additional information about the art and artist.

Smartify is due to launch in May and is currently partnered with Amsterdam’s Rijksmuseum and the Wallace Collection in London, where all artworks will be scannable. Select works at the Louvre in Paris and NYC’s Metropolitan Museum of Art will also be available.

But you need not be at any of these institutions to use Smartify. The app recognizes copies, meaning that as long as Smartify has the work in its database it will be able to bring up information about it for the user. And because the service works across different museums and galleries, it means you don’t have to download each venue’s own app.

Smartify can also be used as a sort of digital art collection, allowing users to save scanned artworks for easy access later.

“There is often a wall label available in museums or galleries, but these rarely have all the information and audio/video files that can be found online. Smartify acts as a gateway to the amazing information about an artwork online,” said Anna Lowe, Smartify director of partnerships. “For users, Smartify allows people to save, remember and share the art they discover.”


+image recognition

The Latest


PSFK is proud to host a special half-day conference with expert speakers on new opportunity in brick & data retail

January 17, 2018 | New York City

Wearable X CEO Billie Whitehouse spoke to PSFK 2017 about designing wearables for all five senses and maintaining a sense of humor

September 27, 2017
No search results found.