In a major accessibility push revealed via Apple’s Newsroom today, Cupertino is rolling out a robust suite of new accessibility features across iOS 26, iPadOS 26, macOS 26, visionOS 26, and watchOS 26—showing it’s not just about style and smarts this year. This collection of tools puts Apple’s commitment to inclusive design front and centre, tapping the power of on-device intelligence in meaningful, life-enhancing ways.
Key additions include Accessibility Nutrition Labels in the App Store—informative tags clarifying whether apps support features like VoiceOver, larger text, or captions, making it easier than ever for users to find apps that cater to their needs. For users who are blind or have low vision, Magnifier for Mac and Braille Access come as standout upgrades, turning Macs into more accessible companions. visionOS gains Accessibility Reader, enabling immersive, narrated experiences in augmented reality just by pointing at text-rich content. Meanwhile, Live Listen with Background Sounds and updated Personal Voice options offer richer auditory control and self-expression for users with speech and hearing differences.
These features arrive on the strength of Apple Silicon’s on-device machine learning—ensuring none of the sensitive personal information used to tailor experiences ever leaves the device. For instance, Narration and Voice features are processed locally—an approach that reaffirms Apple’s privacy-first ethos even in highly personal applications.
Long praised for accessibility, Apple is now adding modern, intelligence-driven polish that can transform everyday interactions. Students who rely on VoiceOver can enjoy app and game use with better compatibility insights; AR users will soon be able to consume immersive media with narration; and people with hearing or speech impairments will find tools built to adapt to their world—not the other way around.
It now looks like Apple’s Liquid Glass era isn’t just cosmetic—it’s inclusive. As the company folds accessibility into its broader ecosystem update, it sets a strong example of how machine learning should empower all users, not just those with the latest hardware or financial means. This is Apple bringing its big-picture AI and design strategy directly into people’s lives in practical, thoughtful ways.
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