Processing a folder of 74 raw images took just under 6 minutes. On a 2021 MacBook Pro with an M1 Max processor and 32 GB of memory, scanning a single image took a few seconds. The scanning time depends on the capabilities of your computer and the number of images selected for scanning. It’s important to point out that the scanning happens locally images are not uploaded to a cloud processor or used for further machine learning training. ("Cascades2" is the name of the folder in which the photo appears.) The app reviews the image(s) and builds a set of keywords that appear in the field below.Īfter scanning, ON1 Photo Keyword AI has come up with a set of keywords based on what it identified in the selected image. In the Metadata panel at right, expand the AI Keywords section (if it’s not visible) and click the Scan button. To get started in ON1 Photo Keyword AI, you browse to a folder of images on disk, and then select one or more photos to scan.īrowse a folder of images in ON1 Photo Keyword AI. ON1 Photo Keyword AI is a standalone purchase retailing for $69.99, which includes activation on up to two computers, and is available for macOS and Windows systems. (In fact, the latest release, ON1 Photo RAW 2023.5, incorporates the Photo Keyword AI features.) Unlike the company’s other individual tools, this one is not available as a plug-in for other apps such as Lightroom Classic, though there is a way to make it work with other apps (which we’ll get to later). ON1 Photo Keyword AI is a standalone app built on ON1’s browsing and catalog technology that undergirds its flagship ON1 Photo RAW editor. ON1 Photo Keyword AI does the same type of scanning, but presents the actual keywords it generated and adds them to photos in a transparent way. The Apple Photos app doesn't know that the black and white photo or the rocks at right do not actually contain snow. Did the software grab every image in your library that contains a car? What about less tangible terms? A recent search for “snow” in Apple Photos brought up snowy scenes, but also a black and white photo and an image of pale rock formations in the summer. You’re going on faith that the app or service is doing a good job. The downside is that you don’t know which objects or characteristics are associated with any given photo. The upside is that you can search for things like “leaves” or “cloudy skies” or “cars” and usually get results that contain the items, even if the images were never specifically tagged with those terms. Apple Photos, Google Photos, and Adobe Lightroom (the desktop and mobile versions, not Lightroom Classic), for example, all scan your images for things the machine learning models recognize. The big players have turned to AI to bypass the keywording stage, but in an often frustrating, opaque way. But what if we could get descriptive keywords without entering them ourselves? That’s the promise of ON1 Photo Keyword AI, a new utility that uses AI technologies to identify scenes and objects in images and create relevant keywords. So we plod forward, skipping the keywording step and relying on our fuzzy memories to scan through libraries looking for the images we want. Here’s the problem with keywords: although they make finding photos easier, the act of tagging images is time-consuming busywork we don’t want to do.
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