Advancing content provenance for a safer, more transparent AI ecosystem

Update July 31, 2026: We’re expanding this work beyond images. Supported audio generated with OpenAI tools, including through ChatGPT and the OpenAI API, now includes SynthID watermarking. Our public verification tool will now allow for verification of supported audio files in addition to images. We’re also introducing API access for verification, so developers and organizations can incorporate provenance checks into their own workflows. Together, these updates build on the multi-layered approach described below: combining open standards like C2PA, durable watermarking signals like SynthID, and verification tooling to make provenance easier to detect and use across more kinds of OpenAI-generated content.

People are using OpenAI’s tools everyday to create and edit images and audio in ways that make communication more expressive, useful, and accessible. As these tools become a part of how people build, imagine, and share, it’s important that people can understand and verify where the media comes from so they can interpret it with more confidence. Provenance signals can help by giving people context about where content came from, how it was created or edited, and whether it is what it claims to be.

Today we’re strengthening our approach to content provenance with a multi-layered, ecosystem-driven model to building trust online. We are making our provenance signals easier for other tools and platforms to recognize through C2PA conformance, adding durable cross-platform SynthID watermarking to images through a partnership with Google, and sharing a preview of a tool the public can use to verify whether images came from OpenAI.

Together these updates build on our earlier work⁠ to support open standards, make OpenAI-generated content easier to identify, and collaborate across the industry to support a more trustworthy information ecosystem.