Apple’s 2025 Software Updates to Include AI-Powered Photo Editing and Siri Enhancements
Apple is set to expand its AI capabilities with the release of iOS 27, iPadOS 27, and macOS 27, according to a report by Bloomberg. The updates will not only refine existing features but also introduce new AI-powered tools, particularly in photo editing and virtual assistance.
New AI-Powered Photo Editing Tools in the Photos App
The Photos app across Apple’s operating systems currently allows users to adjust saturation, contrast, apply filters, crop images, and use AI to remove objects with the Clean Up tool. With iOS 27, iPadOS 27, and macOS 27, Apple plans to introduce several new AI-driven editing features, including:
- Clean Up: Enhanced AI object removal tool.
- Extend: Generative AI to expand photo backgrounds.
- Enhance: Automatic improvements to lighting and image quality.
- Reframe: Adjust the perspective of spatial photos after capture.
These tools aim to bring Apple’s photo-editing capabilities closer to competitors like Google and Samsung, though Google’s Magic Editor, introduced in 2023, remains more advanced in generating entirely new image elements.
Siri Upgrades and AI-Powered Search
Beyond photo editing, Apple is reportedly integrating Google’s Gemini models into a new version of Siri. Additional AI enhancements include:
- A standalone Siri app.
- AI-powered search capabilities within Apple’s native apps.
These updates are expected to be unveiled during Apple’s WWDC keynote on June 8.
“Apple’s new AI-powered photo editing tools and Siri upgrades reflect a broader push to enhance user experience through generative AI.”
Competitive Landscape in AI Photo Editing
While Apple’s upcoming tools aim to close the gap with competitors, Google and Samsung continue to lead in generative AI photo editing. Google’s Magic Editor, for example, allows users to make more radical changes to their photos compared to Apple’s offerings.
Apple’s focus on refining existing features while introducing new AI tools suggests a strategic approach to balancing innovation with user familiarity.