Imagga, an automatic image-tagging solution, has exited its beta trial and fully launched its automated image tagging solution and corresponding API. To learn more about the beta, launch and future plans, ProgrammableWeb caught up with Imagga co-founder Chris Georgiev.
According to Imagga, more than 2 billion images are captured every day. Organizing so many images in any kind of discoverable manner remains a difficult challenge for many individuals and companies. Georgiev described how Imagga solves the problem: "Imagga tagging automatically does what everybody intends to do but never has time — annotate [images] with relevant tags entire photo collections, ... categorize images based on their visual topic ... and assign keywords (for example: coffee, cup, bread, breakfast, bakery, morning, etc.) so people can search for photos based on the combination of one or more keywords."
With the launch, Imagga targets businesses with millions of photos on a website. Most commonly, such users need to organize user-generated image content as the ability to manually assign tags in such scenarios is next to impossible. Additionally, Imagga targets photo Web services in need of a monetization strategy. Other potential users include cloud photo storage providers, big data and analytics providers, contextual advertisers and consumer photo applications. Users include Designer Pages and Blitline.
The beta period provided a slew of positive feedback. "Imagga's image analysis technologies are the coolest thing we've ever seen," says Blitline CTO Jason Malcolm. "It's clear to us that Imagga is leading the industry in focused and innovative image-recognition tools. Imagga does stuff that not only are other people not doing, but stuff that other people didn't even think was possible. If your business model relies on monetizing crowdsourced images, then with Imagga you can make it scale and make more money."
Imagga compares itself to Amazon Mechanical Turk without the human intervention. The automated nature of Imagga's platform drives cost and time needs down. Georgiev believes Imagga can empower those reliant on images as part of a business strategy. From stock photography to business analytics companies, Imagga aims to be a part of business models across industries.
As Imagga moves into full production, Georgiev mentioned some specific KPIs to measure success. "For us as a platform-as-a-service solution, the most tangible metric is the number of images being processed via the service (on a monthly basis)," he says. "Currently we are in the millions and aim to achieve wider adoption and increase this number to tens of hundreds of millions in the short term. The number of recurring users and paying customers are the other important metrics. Last but not least, the number of customers that refer us to new ones [will be measured]."
Imagga has automated a process that has long been thought to be solely a manual process. With advancements in image recognition and a platform to add value with such enhancements, Imagga moves into production as a leader in the auto-tagging space. Take the human energy generally needed for tagging out of the picture, and the massive amounts of image-related data might just become organized, searchable and useful on an entirely new level.