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.

OpenAI has been engaged in the development and adoption of provenance standards since 2024, when we began adding Content Credentials to images generated by DALL·E 3⁠(opens in a new window) and later to ImageGen⁠(opens in a new window) and Sora⁠(opens in a new window). We also joined the Steering Committee of the Coalition for Content Provenance and Authenticity (C2PA), the cross-industry group behind the open technical standard for content provenance. C2PA’s technical approach uses metadata and cryptographic signatures to help information about a piece of media securely travel with the content itself. This information includes context that helps journalists evaluating a source, platforms making integrity decisions, and people trying to understand what they are seeing online.

We recently took the step of making OpenAI a C2PA Conforming Generator Product⁠(opens in a new window). By becoming C2PA conformant, we are giving platforms a trusted way to read, preserve, and pass along the provenance information we attach to our content. This matters because provenance only works if it survives beyond the first platform where content is created, and conformance makes that possible.