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Google Creates 'Imperceptible' Watermark for AI-Generated Images

Google eventually wants to integrate the system into its products and make it available to third-party providers. It's currently available as a beta for select customers of Imagen.

 & Michael Kan Principal Reporter

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Google is showing off a system that can hide a watermark in AI-generated images without changing how the pictures look. 

The company’s “SynthID” system can embed digital watermarks in AI images that are “imperceptible to the human eye, but detectable for identification,” Google’s DeepMind lab says.

Google isn't disclosing how SynthID creates these imperceptible watermarks, likely to avoid tipping off bad actors. For now, DeepMind merely says the watermark is “embedded in the pixels of an image,” which suggests the company is adding a small, minute pattern alongside the pixels that won’t disturb the overall look. 

Google GIF

The company creates the watermarks using two deep learning models that are trained to improve the system’s imperceptibility while still correctly identifying the digital watermarks.   

DeepMind added: “We designed SynthID so it doesn't compromise image quality, and allows the watermark to remain detectable, even after modifications like adding filters, changing colors, and saving with various lossy compression schemes—most commonly used for JPEGs.” The watermark can also remain in the image even if it’s cropped. 

The company added: “SynthID isn’t foolproof against extreme image manipulations, but it does provide a promising technical approach for empowering people and organizations to work with AI-generated content responsibly.” 

Google is launching SynthID as a beta for select customers of Imagen, the company’s text-to-image generator available on the Vertex AI platform. The system can both add the watermark to an image and also identify pictures that carry the digital stamp. 

Google says it could expand the system to other AI models, including its own products. The tech giant also hopes to make SynthID available to third-party developers in the near future. In the meantime, other companies including OpenAI, Microsoft, and Amazon have also committed to developing ways to watermark AI-generated content.

About Our Expert

Michael Kan

Michael Kan

Principal Reporter

My Experience

I've been a journalist for over 15 years. I got my start as a schools and cities reporter in Kansas City and joined PCMag in 2017, where I cover satellite internet services, cybersecurity, PC hardware, and more. I'm currently based in San Francisco, but previously spent over five years in China, covering the country's technology sector.

Since 2020, I've covered the launch and explosive growth of SpaceX's Starlink satellite internet service, writing 600+ stories on availability and feature launches, but also the regulatory battles over the expansion of satellite constellations, fights with rival providers like AST SpaceMobile and Amazon, and the effort to expand into satellite-based mobile service. I've combed through FCC filings for the latest news and driven to remote corners of California to test Starlink's cellular service.

I also cover cyber threats, from ransomware gangs to the emergence of AI-based malware. In 2024 and 2025, the FTC forced Avast to pay consumers $16.5 million for secretly harvesting and selling their personal information to third-party clients, as revealed in my joint investigation with Motherboard.

I also cover the PC graphics card market. Pandemic-era shortages led me to camp out in front of a Best Buy to get an RTX 3000. I'm now following how the AI-driven memory shortage is impacting the entire consumer electronics market. I'm always eager to learn more, so please jump in the comments with feedback and send me tips.

The Best Tech I've Had:

  • My first video game console: a Nintendo Famicom
  • I loved my Sega Saturn despite PlayStation's popularity.
  • The iPod Video I received as a gift in college
  • Xbox 360 FTW
  • The Galaxy Nexus was the first smartphone I was proud to own.
  • The PC desktop I built in 2013, which still works to this day.

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