Verify Content Credentials & C2PA Provenance Instantly
Check if an image was AI-generated, trace its edit history, and validate cryptographic signatures — all in your browser
Content Credentials are a new type of tamper-evident metadata that travel with images and other media files. Think of them as a digital nutrition label for photos. Just like a nutrition label tells you what's in your food, Content Credentials tell you what's in your image — who created it, what tools were used, and whether AI was involved.
The technology is built on the C2PA standard (Coalition for Content Provenance and Authenticity), an open specification developed by a coalition including Adobe, Microsoft, Google, Intel, BBC, and many others. Unlike regular EXIF metadata which can be easily edited, Content Credentials use cryptographic digital signatures to ensure the information hasn't been tampered with.
When a camera or software creates Content Credentials, it signs the manifest with a certificate from a trusted authority. If anyone modifies the image or the manifest data, the signature becomes invalid — making it immediately detectable. This is what makes Content Credentials fundamentally different from traditional metadata.
C2PA works by embedding a manifest store inside the image file. This manifest contains several key pieces of information:
Claim Generator identifies the software or hardware that created the manifest. This could be "Adobe Photoshop 2025" or "Google Pixel 9 Camera." It tells you exactly which tool produced the content.
Digital Signature is a cryptographic seal that proves the manifest hasn't been altered. The signature is tied to a certificate issued by a trusted authority, similar to how HTTPS certificates work for websites.
Assertions are individual claims within the manifest. These can include the digital source type (camera capture, AI-generated, composite), edit actions performed (cropped, filtered, resized), and other metadata about the content's origin.
Ingredients list the source assets used to create the final image. If a photo is a composite of multiple images, each source is recorded as an ingredient with its own provenance chain.
When you upload an image to this tool, the C2PA WASM engine running in your browser extracts and validates this entire chain of information, checking both the data integrity and the certificate trust chain.
When this tool verifies Content Credentials, it evaluates the manifest against the C2PA specification and reports one of three validation states:
Trusted means the digital signature is cryptographically valid AND the signer's certificate comes from a recognized, trusted certificate authority. This is the highest level of assurance. It means you can be confident that the stated creator actually produced the content and nothing has been modified since signing.
Valid means the signature mathematics check out — the manifest data has not been tampered with. However, the signer's certificate is not from a recognized trust authority. This could mean the content was signed by a legitimate tool that uses its own certificates, or by an individual with a self-signed certificate. The data is intact, but the signer's identity is not independently verified.
Invalid means something is wrong. Either the image has been modified after signing (breaking the cryptographic seal), the signature is corrupted, or the manifest structure doesn't conform to the C2PA specification. Invalid credentials should be treated with suspicion.
Content Credentials provide one of the most reliable ways to identify AI-generated images — but only when the generating tool includes them. When an AI tool like Adobe Firefly, DALL-E, or Midjourney embeds Content Credentials, the manifest includes a Digital Source Type field.
The most common AI-related source types are:
- trainedAlgorithmicMedia — Content created entirely by AI (like text-to-image generation)
- compositeWithTrainedAlgorithmicMedia — Content that combines AI-generated elements with real photos
- algorithmicMedia — Content created by non-AI algorithms
The limitation is that credentials are voluntary. Not all AI tools add them, and credentials can be stripped by re-saving the image, taking a screenshot, or sharing on platforms that remove metadata. The absence of Content Credentials does not prove an image is real, just as their presence doesn't guarantee every claim is accurate beyond the signer's assertions.
As the EU AI Act and similar regulations take effect in 2027 and beyond, more AI tools will be required to embed provenance data, making Content Credentials increasingly valuable for detecting AI-generated content.
Adoption is growing rapidly. Here are the major tools and devices that currently support Content Credentials:
Adobe Creative Suite — Photoshop, Lightroom, Premiere Pro, and Firefly all embed Content Credentials. Adobe has been the primary driver of the C2PA standard since its inception.
Camera manufacturers — Leica M11-P was the first camera with built-in C2PA support. Nikon Z9 and Z8 support it via firmware updates. Sony has announced support for upcoming cameras. Google Pixel phones add credentials to photos automatically.
AI image generators — OpenAI's DALL-E adds C2PA metadata to generated images. Adobe Firefly marks all output as AI-generated. Microsoft Designer embeds credentials in AI-created content.
News organizations — The BBC, New York Times, and other members of Project Origin use Content Credentials to verify photojournalism.
Social media — Some platforms are beginning to read and display Content Credentials. However, many platforms still strip metadata during upload, which removes credentials.
Removed — yes. Content Credentials are embedded in the file, so anything that re-encodes the image (taking a screenshot, re-saving in a basic editor, converting formats) will strip them. Social media platforms that compress and re-encode uploaded images also remove credentials. This is the biggest challenge for the standard's adoption.
Faked — no, not convincingly. The cryptographic signature system makes forgery extremely difficult. To create valid Content Credentials, you need a certificate from a trusted authority. Self-signed certificates will show as "Valid" but not "Trusted," immediately flagging that the signer is unverified. Modifying any part of a signed manifest invalidates the entire signature.
The C2PA specification is designed so that even if credentials are stripped, they can potentially be recovered through cloud-based manifest registries where copies of the original credentials are stored. This "soft binding" approach is still being developed but aims to make credential stripping less effective.
Journalists and fact-checkers can verify the origin of images before publishing, confirming that a photo was actually taken by a specific camera at a specific time rather than AI-generated or manipulated.
Photographers and creators can prove the authenticity of their work, distinguishing real photography from AI art in an era where the distinction matters for competitions, stock photography, and client trust.
Businesses and marketers can verify that stock images and creative assets are what they claim to be, avoiding legal issues from unknowingly using AI-generated content where real photography is required.
Consumers and researchers can make more informed judgments about the media they encounter online, understanding whether an image is an authentic photograph, an AI creation, or a manipulated composite.
Legal professionals can use Content Credentials as evidence of image authenticity or manipulation in court cases, insurance claims, and intellectual property disputes.
The European Union's AI Act, which begins enforcement in phases from 2025 through 2027, includes specific provisions requiring AI-generated content to be labeled. Article 50 mandates that providers of AI systems that generate synthetic content must ensure the output is "marked in a machine-readable format and detectable as artificially generated or manipulated."
C2PA Content Credentials are widely expected to be the primary technical mechanism for compliance. The standard already supports exactly what the regulation requires: machine-readable, tamper-evident labels that identify AI-generated content.
This means that by 2027, any AI image generator serving European users will likely need to embed Content Credentials or a similar provenance mechanism. For businesses, understanding how to read and verify these credentials will become a compliance necessity, not just a nice-to-have.