Feed copy into Getty Image's Panels and it will provide you with tailored, relevant editorial stock images, claims the company - and it will even learn what you like.
Editorial stock photography has just got an interestingly-powered boost, with Getty announcing the launch of an AI solution by the name of Panels.
Designed with newsrooms in mind, but with potentially limitless potential, Panels allows designers, photo editors and layout artists to simply paste an article's URL and have it find images based on the content.
The solution also learns over time and will present results based on previous selections, allowing a particular look and feel to be developed with less time spent - so more stylish shots being suggested as opposed to cheap and cheerful photos of the 'distracted boyfriend' sort (or vice versa, depending on your stock in trade).
From a creative point of view, the technology behind Panels could mean less work in finding the right image for anything that needs a designer's touch, along with testing out whether imagery you're working with suits the mood a brand or art project is going for. Something like Panels could theoretically tell you how 'aspirational' the feel of your design really is.
“Panels makes it easier and faster for our customers by using the power of artificial intelligence to deliver engaging and relevant images," says Andrew Hamilton, Getty's senior vice president of data and insights. "We are committed to growing our data and insights business and we will release additional products that help brands manage their visual identity.”
Getty is also working to develop new AI models that can be delivered through its API and built into its products, including visual styles and authenticity scoring, something that's all important when you consider how well current 'deepfake' technology erases the line between visual truth and forgery.