ISLAMABAD, October 29, 2026: Apple has reportedly introduced Google’s SynthID watermarking technology in iOS 27.2, allowing artificial intelligence-generated images and certain AI-edited photographs to carry an invisible digital marker.
The feature is designed to help identify content created or significantly modified using artificial intelligence, making it easier to distinguish AI-generated visuals from conventional photographs.
According to the report, images produced through Apple’s Image Playground application will contain SynthID watermarks, while certain photographs edited using Apple Intelligence will also receive the digital marker.
Developed by Google, SynthID embeds an invisible watermark into AI-generated content at the pixel level without noticeably affecting image quality.
Google says the technology is designed to remain detectable even after common image modifications, including cropping, filtering and compression.
How does SynthID work on iPhones?
The watermark is embedded directly into an image rather than appearing as a visible logo or label.
This means users can view and share AI-generated images without seeing any noticeable change in their appearance.
However, iPhones currently do not offer a built-in option to detect SynthID watermarks directly.
Users seeking to verify whether an image contains the watermark must use Google’s SynthID detection service.
According to testing described in the report, minor adjustments made through Apple’s Clean Up editing feature did not always result in a SynthID watermark being added.
However, images subjected to more substantial AI-powered modifications were found to contain the digital marker.
All images generated through Image Playground are reportedly covered by the watermarking feature.
Why AI image watermarking matters
The development comes amid growing concerns about the difficulty of distinguishing authentic photographs from images created or manipulated using artificial intelligence.
Invisible watermarking technologies such as SynthID are intended to improve transparency by providing a means of identifying AI-generated content.
However, the presence or absence of a watermark alone does not establish whether an image is authentic, as detection depends on the technology used to generate or modify the content.
The reported integration represents another step towards greater transparency in AI-powered image creation and editing on smartphones.