Apple has announced a new feature in its upcoming iOS 26 update that enables users to add events to their calendar directly from a screenshot.

This functionality is part of the company’s Visual Intelligence capabilities.

When users take a screenshot that contains event details, a prompt labeled “Add to calendar” will appear. Tapping this prompt generates a preview of the event, which includes the date, time, and location.

This allows for edits before adding it to the calendar. This feature builds on a similar function introduced in iOS 18, which allowed users to create events from photos.

Early testers have reported that the feature works consistently, accurately adding events to the calendar with few errors.

However, it currently supports only one event per screenshot and does not accommodate multiple events at once.

iOS 26 is expected to be released later this year, making this feature available to Apple users worldwide.

🔗 Source: The Verge

🧠 Food for thought

1️⃣ Apple’s deliberate AI evolution reflects its silicon-first approach

Apple’s new calendar screenshot feature illustrates their methodical approach to AI implementation, prioritizing practical utility over flashy demonstrations.

This approach is grounded in Apple’s chip strategy, which began with the neural engine in the iPhone X’s A12 Bionic chip, specifically designed to handle 5 trillion operations per second, an 8x improvement over its predecessor 1.

The calendar feature takes advantage of Apple’s long-term investment in on-device machine learning capabilities that date back to 2014, when Siri was overhauled with neural-net technology for significantly improved voice recognition 2.

While competitors like Google emphasized early AI demonstrations, Apple’s strategy reflects their focus on integrating machine learning gradually throughout their ecosystem, with capabilities distributed across product teams rather than centralized 2.

This pattern of incremental AI integration is evident in Apple’s developer tools as well, where frameworks like Core ML and Vision API provide building blocks for on-device intelligence that can operate without sending data to cloud servers 3.

2️⃣ AI’s productivity gains come from automating routine cognitive tasks