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Adobe has launched a public beta of its Content Authenticity web app, providing creators with tools to protect their work and combat AI-generated misinformation. The app enables users to embed tamper-resistant metadata, called Content Credentials, into their images, creating a verifiable record of authorship and origin, ensuring proper credit even when work is shared without permission.

Expanding on Adobe’s Content Credentials system, the web app allows artists to attach identifying information, including social media links and websites, directly to their images. It also tracks the editing history, offering insights into the creation and modification process. Creators can tag their work to signal non-consent for AI training, although this opt-out is not foolproof. Adobe is collaborating with policymakers and industry partners for more robust solutions.

Integrated LinkedIn verification enhances the authenticity of Content Credentials, hindering fake profiles. This feature might be a subtle dig at X, which left Adobe’s Content Authenticity Initiative after changing its verification system to a paid model. The Content Authenticity web app is free during the beta and accessible with an Adobe account, supporting JPEG and PNG files, with plans to include larger files and other media like video and audio. Unlike past approaches, it allows users to apply Content Credentials to up to 50 images at once.

The Content Authenticity app also lets anyone verify online images. The app includes an inspection tool to recover and display Content Credentials, even if removed by platforms. It reveals editing history, helping users identify the use of generative AI tools. Combined with the Content Authenticity extension for Google Chrome, it eases content authentication on platforms where images are shared without attribution. As AI editing tools grow more accessible, Adobe’s Content Authenticity tools are crucial in preventing deepfake spread and promoting online transparency.