Which iPhones Are Ready for iOS 27? Here Is the Complete Compatibility List

Apple officially unveiled iOS 27 at WWDC 2026, and the big news is that the update supports an impressive 29 iPhone models. Contrary to earlier speculation that the iPhone 11 series would be dropped, Apple kept those devices on the list. This decision marks a first for the company, as no models were cut from the previous iOS 26 support roster.

iOS 27 Compatible iPhones: The Full Roster

Here is every iPhone that will receive the iOS 27 update:

• iPhone SE (2nd generation and later)
• iPhone 11
• iPhone 11 Pro
• iPhone 11 Pro Max
• iPhone 12 mini
• iPhone 12
• iPhone 12 Pro
• iPhone 12 Pro Max
• iPhone 13 mini
• iPhone 13
• iPhone 13 Pro
• iPhone 13 Pro Max
• iPhone 14
• iPhone 14 Plus
• iPhone 14 Pro
• iPhone 14 Pro Max
• iPhone 15
• iPhone 15 Plus
• iPhone 15 Pro
• iPhone 15 Pro Max
• iPhone 16e
• iPhone 16
• iPhone 16 Pro
• iPhone 16 Pro Max
• iPhone 17e
• iPhone 17
• iPhone Air
• iPhone 17 Pro
• iPhone 17 Pro Max

As you can see, the list spans from the iPhone 11 to the latest iPhone 17 Pro Max. This means that even users with older devices like the iPhone 11 will get the new software features, though not all of them.

Which iPhones Support Siri AI and Apple Intelligence?

Getting iOS 27 does not guarantee you can use every feature. Apple confirmed that older models will miss out on AI capabilities because many processes require advanced chips. For example, Apple Intelligence tools like Clean Up and Live Translation need an iPhone 15 Pro or newer. Siri AI, the revamped voice assistant, has an even shorter list of compatible devices:

• iPhone 15 Pro
• iPhone 15 Pro Max
• iPhone 16e
• iPhone 16
• iPhone 16 Pro
• iPhone 16 Pro Max
• iPhone 17e
• iPhone 17
• iPhone 17 Pro
• iPhone 17 Pro Max
• iPhone Air

Interestingly, Siri AI will not launch in the European Union or China due to regulatory hurdles. Apple plans to roll out iOS 27 to all compatible models in September 2026. For more details, check out our guide on how to prepare your iPhone for an iOS update.

What Does iOS 27 Mean for Older iPhones?

For owners of older iPhones like the iPhone 11 or iPhone 12, the update brings essential security patches and performance improvements. However, you will not get the AI-driven features that define this release. This is a common trend: Apple extends software support but reserves cutting-edge capabilities for newer hardware.

On the other hand, if you own an iPhone 15 Pro or later, you will experience the full power of iOS 27, including on-device AI processing. This makes upgrading worthwhile for those who want the latest innovations.

How to Check Your iPhone’s Compatibility

Wondering if your device is on the list? Go to Settings > General > About and check your model number. Alternatively, you can visit Apple’s official website for the complete compatibility chart. Remember, even if your iPhone is supported, you might need to free up storage space for the update. Learn more in our article on freeing up storage for iOS updates.

Final Thoughts on iOS 27 Compatibility

Apple’s decision to include the iPhone 11 series in iOS 27 is a pleasant surprise, extending the lifespan of these devices. While AI features remain exclusive to newer models, the broad support ensures that millions of users can enjoy the latest software. Keep an eye out for the September release and plan your upgrade accordingly.

Apple Intelligence Is Coming to Safari: Smarter Tabs, Custom Extensions, and Password Fixes

At WWDC 2026, Apple unveiled a suite of Apple Intelligence Safari features that aim to solve real-world browsing headaches. Unlike some AI announcements that feel like solutions in search of problems, these tools focus on practical, everyday annoyances—from managing dozens of open tabs to updating weak passwords automatically.

AI-Powered Tab Organization: No More Tab Hoarding

One of the standout additions is automatic tab grouping. Safari can now analyze open webpages, identify related content, and automatically cluster tabs into topics. As you continue browsing, the browser intelligently adds new tabs to the appropriate groups.

This means you no longer need to manually sort through 30+ tabs you swore you’d revisit later. The feature is designed to reduce clutter and improve focus, especially for research-heavy sessions or online shopping sprees.

For users who juggle multiple projects, this AI-driven organization could be a game-changer. It’s a subtle but powerful way to keep your digital workspace tidy.

Custom Extensions via Natural Language: Describe What You Need

Another practical tool is the “Describe an Extension” feature. Instead of writing code or searching for third-party add-ons, you can simply tell Safari what you want. For example, you could request a custom recipe-rating tool that adds a star system to any cooking website.

Safari uses Apple Intelligence Safari capabilities to generate the extension on the fly. This opens up browser customization to everyone, not just developers. It’s a smart move that aligns with Apple’s philosophy of making powerful tools accessible.

Building on this, users can also tweak existing extensions using natural language prompts. This flexibility could reduce reliance on the App Store for simple browser modifications.

Notify Me: Never Miss a Change Again

Refreshing a webpage repeatedly for product restocks, ticket sales, or registration openings is a common frustration. Safari’s new “Notify Me” feature eliminates this chore. You simply tell the browser what you’re waiting for in natural language, and it monitors the page in the background.

When the requested change occurs—like a new item in stock or a price drop—Safari sends a notification. This background monitoring is privacy-focused, with Apple claiming no sensitive browsing data is shared. It’s a small but significant time-saver for online shoppers and event seekers.

Automatic Password Updates: A Security Boost

Security also gets a major upgrade with deeper integration into the Passwords app. Using Apple Intelligence Safari, the browser can automatically update eligible accounts to stronger passwords with a single tap. It then navigates to the website, signs in, and completes the change process securely.

This feature addresses a common pain point: many users know they should use strong passwords but find the manual update process tedious. By automating it, Apple encourages better security habits without extra effort.

Furthermore, the system works across websites that support password changes, making it a practical addition for anyone concerned about account security.

Privacy at the Core: What Apple Promises

Throughout the announcement, Apple emphasized privacy. The company claims that Safari processes AI tasks on-device or in a way that doesn’t share browsing data with Apple itself. While the effectiveness of these features in real-world use remains to be seen, the privacy-first approach is reassuring.

As a result, users can benefit from AI-powered tools without sacrificing confidentiality. This balance could be a key differentiator as other browsers race to integrate AI.

Conclusion: Practical AI That Actually Helps

Apple’s AI strategy for Safari feels refreshingly grounded. Instead of flashy demos, the company focused on removing everyday annoyances: organizing tabs, tracking webpage changes, and updating weak passwords. These are tasks people regularly struggle with but rarely enjoy doing themselves.

For more on Apple’s ecosystem, check out our guide on best iPhone features and macOS Ventura tips. Whether these tools work as smoothly as demonstrated remains to be tested, but on paper, this is one of the most useful Apple Intelligence updates to date.

Apple’s AI Photo Tool Can Literally Move Where the Camera Was Standing

Have you ever snapped a picture, only to realise the framing was slightly off? Perhaps the subject was too low, or the horizon tilted awkwardly. Apple believes it has the answer. The company introduced Spatial Reframing AI at its annual Worldwide Developers Conference, a feature that lets you virtually reposition the camera after the shot is taken. Using artificial intelligence, it fills in the missing parts of the scene, as if you had moved the camera before pressing the shutter.

How Spatial Reframing AI Works

According to Apple, the technology combines on-device spatial models—built using innovations from the Apple Vision Pro—with image generation models running on Private Cloud Compute. When you edit a photo, you can drag it around, and the perspective shifts naturally. The AI generates only the newly exposed portions of the image, leaving the original content untouched.

During a live demonstration, Apple showed a family photo being repositioned. The framing moved lower to create a more balanced composition, and the background around the edges was seamlessly filled in. This is not about removing or adding objects; it is about recreating a shot you never actually took.

This means that Spatial Reframing AI understands the three-dimensional layout of a scene before generating only the missing pieces. It is a far more ambitious approach than traditional AI photo editing tools.

Beyond Basic Photo Editing: The Extend Tool

Alongside Spatial Reframing, Apple announced an upgraded Extend tool. This feature expands images to create more breathing room or straighten horizons without aggressively cropping the original shot. While Extend is useful for simple adjustments, Spatial Reframing goes much further by altering the camera’s virtual position.

Both tools are part of Apple Intelligence, the company’s broader push into on-device AI. The goal is to make photo editing more intuitive and less destructive. Instead of losing pixels through cropping, users can reframe their images as if they had taken multiple shots from different angles.

Why This Matters for Everyday Photographers

For most people, the biggest frustration in photography is missing the perfect composition. You take a great shot, but the subject is too far to one side, or the background is cluttered. Traditionally, fixing this meant cropping, which often ruined the image’s quality. Spatial Reframing offers a second chance.

If it works as well in the real world as it did on stage, this could become one of the most useful Apple Intelligence features announced so far. After all, everyone has taken a badly framed photo at some point, and Apple is essentially promising a solution without asking anyone to go back in time.

Technical Underpinnings: Spatial Models and Private Cloud Compute

Apple’s approach relies on spatial models that map the three-dimensional structure of a scene. These models were originally developed for the Apple Vision Pro, which needs to understand depth and perspective to create immersive experiences. By applying the same technology to photos, Apple can infer what lies beyond the frame.

The AI then generates only the missing pixels, using a process that runs on Private Cloud Compute to protect user privacy. This means your photos are processed securely, without sending raw data to external servers. For users concerned about privacy, this is a significant advantage over cloud-based AI editing tools.

Building on this, the feature can handle complex scenes with multiple subjects, varying lighting, and detailed backgrounds. Apple claims the generated content blends seamlessly with the original image, so you cannot tell where the AI stepped in.

The Future of AI Photo Editing

Spatial Reframing represents a shift in how we think about photography. Instead of being limited by the moment you pressed the shutter, you can now adjust the perspective after the fact. This is the closest thing to a photographic time machine yet.

However, the feature is still in its early stages. It will debut later this year as part of iOS 19 and iPadOS 19, and it requires a device with an A17 Pro or M-series chip. Early adopters will need to wait and see how well it performs in everyday scenarios.

For more on Apple’s latest announcements, check out our WWDC 2025 recap. You can also explore how AI is transforming photo editing across the industry.

Ultimately, Apple is betting that users will embrace the ability to change the camera’s position after the fact. If Spatial Reframing delivers on its promise, it could redefine what we expect from a smartphone camera.