SafeStamp

AI image generation has reached a point where it’s powerful, accessible, and evolving at rapid speed. As of now, just several weeks ago, companies like Google (Gemini Nano and Banana) and ByteDance (SeaDance) have released cutting-edge models capable of producing images that are almost indistinguishable from real photos. These advancements are exciting, but they also highlight a growing problem: if anyone can generate hyper-realistic content instantly, how do we know what’s real and what’s not?

That's where SafeStamp comes in. SafeStamp allows users to generate their own images that are automatically encoded with an invisible, persistent watermark. These watermarks are invisible to the human eye, yet remain encoded on the image. If the picture is emailed, downloaded, uploaded to social media, or even slightly edited, the embedded signal remains intact and can still be detected with high accuracy. Unlike a logo or filter, SafeStamp’s watermark is hidden at the data level, making it persistent, invisible, and extremely hard to remove without destroying the image quality itself.

[Still uploading animations of encoding and watermarking]

Huge shoutout to Kush Patel for your incredible work on SafeStamp, couldn’t have done it without you!