Finding photos is so much easier with Siri AI in iOS 27 that I no longer scroll


My camera roll has crossed 8,000 photos, and it got there by capturing random moments (only to forget them later). The problem, however, starts when someone asks me to share something specific. It could be their portrait from last weekend or the food pictures they snapped using my phone.

Finding those pictures usually means scrolling through my seemingly endless camera roll. If the photo is a month or two old, I end up scrolling past hundreds of other images to find it, and that gets old fast.

Siri AI is quite good at finding pictures

Apple tried to chip away at that problem with natural-language photo search in iOS 18.1, but it always felt like a feature that was almost there. iOS 27’s Siri AI closes the gap by adding voice search, so you can just ask out loud and let it do the hunting.

For well-defined objects, natural-language voice search via Siri works just fine. I asked Siri to show me the picture of the AirPods Pro box contents that I captured in January 2026, another for Samsung phones, and one for Mercedes, and it fetched the right results. All of these were at least a couple of months old.

I was talking to a friend about how much I like the fabric and texture of my favorite orange and beige shirts. Instead of scrolling through the entire gallery to find it, I simply asked Siri to find the pictures where I am wearing them.

Now, the results aren’t always to the point. As you can clearly see, the first few results contain pictures of my friend, with the other person either wearing the orange or beige shirt, and of me.

The one I was looking for, the beige shirt, is the eighth result Siri fetched (in the third screenshot). But even so, the picture was from November 2025, and I couldn’t imagine opening the Photos app and scrolling the library past around a few thousand pictures to get there. 

You can either share the result or view it with all photos

Tapping the picture opens it full screen, giving me the option to share it via AirDrop or another app, or to view it in the Photos app, similar to how “Show in All Photos” works for Memories or Featured Photos.

The other day, my sister asked me to share with her the pictures of birds that I captured in a national park we visited a few months ago. I immediately fired up Siri, and it fetched me the required ones without breaking a sweat. 

I tapped “Show All” to get a better view, selected one, and tapped the Photos button at the bottom to jump straight into the camera roll, where I could access all of them, along with a few great pictures of my family I had captured before and after. 

It’s still a bit rough around the edges, though

There were a few instances when Siri AI didn’t do well. For instance, I asked the AI assistant about the time when I first purchased a robotic vacuum cleaner. In response, it told me that there’s no specific receipt or order confirmation, but there are several pictures of it in my gallery. 

Fair enough. Then I asked it to go through the gallery and find the first time I captured a picture of a robotic vacuum cleaner, and it showed me one from March 31, 2026, even though there were multiple pictures from October 2025. It was only after I told it that Siri AI was able to surface the right pictures. 

Siri might not be as accurate yet, which, given iOS 27’s beta testing phase, is something I can’t blame Apple for. But even so, the natural language image search serves its purpose: saving you from a frustrating amount of scrolling, whether you’re hunting for a needle (the picture you’re looking for) or navigating a haystack (your gallery).



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TL;DR

Meta stripped NameTag facial recognition code from its AI app one day after WIRED exposed it on 50 million phones. Meta says no decision has been made.

Meta removed nearly all traces of an unreleased facial recognition system from its smart glasses companion app on Friday, one day after WIRED reported that the software had been quietly embedded in an app installed on more than 50 million phones. The feature, which Meta internally called NameTag, was designed to convert faces captured by the company’s Ray-Ban smart glasses into unique biometric signatures and compare them against a database stored on the user’s device. WIRED also found that faces the system failed to recognise were cropped, indexed, and stored locally for future processing.

Andy Stone, Meta’s vice president of communications, told WIRED on Monday that the feature is “purely exploratory,” adding that no final decision has been made on what to do with it. That characterisation sits uneasily with the evidence WIRED documented. The version of Meta AI published the day of WIRED’s Thursday report contained several code libraries explicitly named for face recognition, a process for running the NameTag recognition pipeline, and a “Person recognised” alert the app would have shown if someone were identified.

Friday’s release stripped all of it out, along with a folder where the app would have stored the cropped images and biometric signatures of unrecognised faces. Meta did not answer WIRED’s questions about why the code was removed or whether the changes were planned before the story was published. A few fragments remain in the latest version, including an internal debug menu label and a dormant link meant to open a recognised person’s profile, pointing to parts of the system that are no longer there.

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The gap between Meta’s public statements and the code WIRED found is the central tension. Before the Thursday report, Stone dismissed the findings by writing that the company could not answer questions about how the system would work because “the feature does not exist.” Andrew Bosworth, Meta’s chief technology officer, called the reporting “incredibly misleading” and “absolutely dishonest.” Yet the code was functional enough to include three AI models, one to detect faces, another to crop them, and a third to encode them as biometric data, all embedded in the companion app for a product already at the centre of a mounting privacy crisis.

Meta declined to answer ten questions WIRED posed before publishing, including whether it had already created the database of face profiles NameTag uses, how long the app retains photographs and biometric data of unrecognised people, and whether that data would ever be sent back to Meta’s servers. The company also did not respond to questions about whether it was building NameTag for blind or low-vision users, or to criticism from privacy advocates who warned the system could let stalkers and abusers identify strangers in public.

NameTag first surfaced in February, when The New York Times, citing internal Meta documents, reported that the company was developing face recognition for its smart glasses and considering a launch as early as this year. One internal memo reportedly described releasing the feature during a “dynamic political environment” when privacy and civil liberties advocates would be distracted by other concerns. WIRED subsequently found that much of NameTag’s machinery had been built into the Meta AI app as early as January, months before any public acknowledgement, adding another layer to the company’s pattern of shipping first and disclosing later when it comes to its smart glasses.

Kade Crockford, director of the technology for liberty programme at the American Civil Liberties Union of Massachusetts, said the removal does not undo the original decision to ship the code and pointed to it as evidence that consumer privacy needs stronger legal protection than Congress has been willing to provide. The Massachusetts House of Representatives last week unanimously passed a consumer privacy bill that, if enacted as written, would impose strong enforcement provisions including a private right of action allowing aggrieved users to sue. “State lawmakers need to do their job and step up to protect consumer privacy,” Crockford said.

Meta’s sneaky tactics in slipping the face-recognition code into its smart glasses show exactly why data privacy bills need the teeth of strong enforcement,” Crockford added. “Companies like Meta prioritise their bottom line, so lawmakers need to speak in the only language its C-suite understands.” Whether a code removal prompted by investigative reporting constitutes a victory or merely a tactical retreat depends on what Meta does next, and on whether the regulatory pressure building on both sides of the Atlantic produces enforceable consequences before the feature quietly returns under a different name.



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