# What’s up with this ‘Apple Reference Image’ rumor? > Source: > Published: 2026-08-11 19:06:26+00:00 Some clever code divers have found something interesting buried in a privacy disclosure as part of [iOS 27 beta 5](https://www.macworld.com/article/3172166/ios-27-beta-updates-features-release-date.html): a new feature called Apple Reference Image. There are plenty of companies adding metadata to AI generated images, and Apple is one of them. In iOS 27, images created with Image Playground will embed the [SynthID](https://deepmind.google/models/synthid/) metadata watermark created by Google. But Apple Reference Image seems to be a tool to help authenticate images another way: rather than just by positively identifying fake images, it authenticates that an image or video is real and has been captured by an iPhone. The feature is not active yet, but when it is, you’ll find it in Settings > *Camera* > *Reference Image*. Here’s how it appears to work: In addition to enabling the feature in Settings, you’ll have to take your photos using a new Reference mode in the Camera app (which does not exist yet). Once you do so, a bunch of extra metadata will be saved along with your image. Then, when you want to authenticate it, you can tap a “Reference” badge to send the raw image and all sorts of metadata up to Apple, which uses the Private Cloud Compute servers to determine that the image did in fact come from an iPhone image sensor and has not been edited. It then assigns the image a unique photo ID and sends back that authenticated version. This may sound like a great way to push back against the flood of AI generated and manipulated images online, but it probably won’t really make a dent there. Most of that stuff spreads on social media where images are recompressed and often stripped of some metadata before they are shown to other users. Plus, this is entirely opt-in, requires a special mode, and it’s unclear which regular image edits can be done (if any) without removing the authentication. Rather, this seems like a way to create a legally robust providence claim for occupations that need to prove a photo is legitimate. Think: journalists, insurance agents, criminologists, and so on. A more robust system is the [C2PA](https://c2pa.org/) (Coalition for Content Provenance and Authenticity), which has already been adopted by standalone camera companies like Nikon, Sony, and Leica along with software companies like Adobe. Google adopted that standard in the Pixel 10 this year. The C2PA standard creates a “nutrition label” of sorts that shows a history of the way an image was captured (or generated) and broad types of edits made along the way. So you can see if an image is fake, or just “edited” to crop it and apply color balance, for example. Apple’s system relies on Apple hardware specifically and Private Cloud Compute, and of course requires enabling settings and using special modes. So it seems to be less about fighting the trend of online AI slop and more about providing specific professionals with a way to prove that an image taken with an iPhone is legitimate. Of course, regular users have a lot of other great Photos and Camera [features to look forward to](https://www.macworld.com/article/3159978/marvel-at-over-250-fixes-and-improvements-coming-in-the-apple-updates-this-fall.html) in iOS 27, including: faster iCloud uploads, saving images from videos, a new Captured by Me collection, star ratings on photos and videos, and more. iOS 27 is expected to arrive next month, but this new feature might not be included—or it could be exclusive to the iPhone 18 Pro.