Meta is working on a new tool to identify images and video created with its latest image generation model, Muse Image. The company says Muse Image includes an invisible watermarking system called Content Seal. It has also previewed a web tool that will allow users to check whether an image was generated with Meta AI.
The initiative marks Meta's latest effort to address deepfakes and AI-generated content. As synthetic media becomes more realistic, invisible watermarking offers a way to preserve content provenance without degrading visual quality. The web tool targets journalists, fact-checkers, and the public.
While Meta did not specify when the web tool will launch, it noted the service will have rate limits. The Content Seal watermark is designed to be invisible and persistent, surviving compression and editing. However, Meta has not disclosed the robustness of the watermark against determined removal attempts.
If widely adopted, the system could help platforms and users distinguish authentic content from AI fabrications. It also places Meta in a competitive position alongside other AI companies like Google and OpenAI, which have similarly experimented with content credentials. The impact on creator workflows remains to be seen.
Some experts have previously warned that invisible watermarks can be circumvented by sophisticated actors. The effectiveness of Content Seal will depend on its implementation and the industry's willingness to integrate compatible detection standards.