OpenAI’s tools enable everyday creation and editing of images and audio, making communication more expressive and accessible. As media becomes easier to generate and share, provenance signals provide context about origin, creation or editing steps, and whether content matches its claims. OpenAI is strengthening content provenance with an ecosystem-driven model that improves recognition by other tools and platforms. The approach includes C2PA conformance for interoperable provenance metadata and cryptographic signatures, durable cross-platform SynthID watermarking for images, and a public preview tool to verify whether images came from OpenAI. OpenAI has supported provenance standards since 2024 by adding Content Credentials to generated media and participating in C2PA’s development and adoption.
"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."
"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 and later to ImageGen and Sora. 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."
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