
Google says 180 billion images and videos now carry SynthID watermarks as detector goes public
Quick Answer
Google's SynthID Detector is now public, identifying invisible watermarks in 180 billion images and videos from its AI models like Gemini and Veo.
Quick Take
The tool supports various formats and integrates with Google Search and Chrome, handling one million verification requests daily.
Key Points
- SynthID Detector identifies watermarked content from Google's AI models including Gemini, Veo, and Lyria.
- Supports formats: JPG, PNG, MP4, and MP3, but only detects SynthID watermarks.
- OpenAI, Nvidia, and Kakao also utilize SynthID for media watermarking.
- Google claims over 180 billion images and videos are now watermarked.
- The detection tool is integrated into Google Search and Chrome, receiving one million requests daily.
📖 Reader Mode
~1 min readAnyone can now check whether an image, video, or audio file was created by Google's AI or its partners. Google has opened its SynthID Detector to the public. The tool spots invisible watermarks embedded in content from models like Gemini, Veo, or Lyria and supports JPG, PNG, MP4, and MP3. SynthID isn't a universal AI detector. It only flags content carrying a SynthID watermark. Other detection systems have the same limitation, typically only verifying their own provider's watermarks.
OpenAI, Nvidia, and Kakao also use SynthID for media. For text detection, OpenAI developed its own system. Apple is expected to join soon, according to Google. SynthID detection is also built into Google Search, the Gemini app, and Chrome, where Google says one million verification requests come in daily. The company claims more than 180 billion watermarked images and videos to date.
— Originally published at the-decoder.com
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from The Decoder
See more →
An AI model programmed nonstop for 19 days on a single MirrorCode task that cost $2,600 to run
Epoch AI's MirrorCode benchmark reveals Claude Opus 4.7 as the leader with a 56% solve rate, reconstructing a 16,000-line toolkit in 14 hours. Despite this, all models tested struggle with the most complex tasks, highlighting limitations in current AI capabilities. The single task consumed $2,600 over 19 days, raising questions about cost-effectiveness in AI development.

