
The label is gone, the obligation remains
One screenshot is enough and the AI image keeps circulating unlabeled. With on:mint, you can prove at any time that you labeled your asset correctly.
Starting August 2, 2026, the AI Act requires labeling of AI content: providers of new AI systems must mark AI-generated content in machine-readable form, deployers must disclose deepfakes in a way people can perceive. With on:mint, you implement the requirements with ease – flexibly adapted to your own standards.
Legal tech tool for technical AI labeling
Based on the C2PA metadata standard
Data and signature infrastructure in the EU
On upload, Content Credentials are created automatically, cryptographically signed, and steganographically secured – in C2PA, the open, interoperable industry standard backed by Adobe, Microsoft, and major platforms. No proprietary format, no lock-in.
The AI Act requires machine-readable and human-visible labeling. We handle both for you: the visible label for deployers, the machine-readable mark for providers. on:mint combines cryptographic hash, watermark, perceptual fingerprint, deepfake detection, signed C2PA manifest, and blockchain anchor into proof that holds.
Developed with the attorneys of tech law firm Schürmann Rosenthal Dreyer. Your labeling doesn't just meet the obligation visually – it holds up as compliance evidence. With on:mint, your company has a legal tech tool at hand to set its own labeling standards and implement them cleanly.
From August 2026, AI content must be labeled — in machine-readable form by providers, visibly by deployers. But a visible label can be removed, overwritten or cropped out, and many lack the infrastructure for technical marking. Either way, the question remains: how do you prove that you labeled correctly?

One screenshot is enough and the AI image keeps circulating unlabeled. With on:mint, you can prove at any time that you labeled your asset correctly.

The AI Act requires marking that is effective, interoperable, robust, and reliable. Building that yourself takes months – and the standard it will be tested against is only just emerging.

AI provider, agency, brand, marketplace: every station must meet its own obligations. Without provenance information traveling with the asset, no one can reliably tell what is AI and what was changed.
Label your AI content so it holds up.
Legally & technically sound.
With on:mint.
Content Credentials are the technical form of AI labeling: a signed, machine-readable disclosure embedded directly in the file. It documents that a piece of content is AI-generated, who created it, and what has been changed. on:mint creates the credentials automatically at upload or via API, signs them to the C2PA standard, and anchors them immutably. That puts the machine-readable marking required by Article 50(2) in place, and your labeling stays verifiable for humans: one click on the Cr icon is all it takes.
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The visible disclosure is secured cryptographically and steganographically. If the label is removed or altered, this is immediately detectable. Compliance you can prove.
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Via the API, every output is automatically marked C2PA-compliant and detectable — exactly what Article 50(2) AI Act requires. No in-house development, with usage metering.
03
Every station in the value chain — from AI provider through agency to marketplace — reliably sees what is AI and what was changed, and can meet its own obligations.
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One click on the Cr icon or the AI label reveals the full provenance history – like a seal of authenticity anyone can check. This protects AI assets as much as digital originals.
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The browser extension reads C2PA credentials across the web and shows whether an asset is on:mint-verified and labeled as AI. Your labeling stays visible even where platforms don't display it.
See how anyone checks your label. One click is enough.
From then on, the AI Act requires labeling: machine-readable for providers of new AI systems, visibly disclosed for deepfakes by deployers. Providers of existing systems have until December 2, 2026 to comply. Violations can be fined up to €15 million or 3% of annual turnover.
LinkedIn and other platforms already display Content Credentials; the EU is working on a standardized AI label. Sign now and be compatible before everyone else is.
AI images sit in shops, campaigns and on marketplaces — mostly without provable provenance. Every unsigned asset published today is a compliance risk tomorrow.
One model for both products. Billed in credits: 1 image or PDF = 1 credit. Cancel monthly.
For creatives & individuals
For small businesses
For larger businesses
For enterprise
Anyone who subscribes to Starter or higher before the multimedia release automatically receives a €50 starting credit (500 credits) for video & audio on release day. Valid 6 months from release, once per account.
All prices excl. VAT · cancel monthly · 1 image or PDF = 1 credit · video & audio use their own credit rates at the multimedia release · subscription credits stay valid up to 14 days into the following month · Top-up credits without a subscription: 200 for €20, 500 for €45, 1,200 for €95 · topped-up credits never expire.
With tech law firm Schürmann Rosenthal Dreyer as a partner, we have top lawyers on our side — including for the legal classification of your labeling obligations under the EU AI Act.

Simone Rosenthal
CEO
Lawyer, partner at tech law firm SRD and serial founder. With caralegal, lawpilots and ISiCO, Simone Rosenthal has shown that law and technology belong together and, combined, deliver solutions that work.
At the firm, she advises companies on their obligations under the EU AI Act. That's why, with on:mint, she set out to build the best technical solution for labeling and provenance proof of digital content.

Philipp Müller-Peltzer
Legal & Strategy
When law meets deep tech, things get complicated. Or you ask Philipp Müller-Peltzer. As a lawyer and partner at SRD, he operates daily at the intersection of law and technology.
Through his work for SRD, he has advised numerous companies on AI, data law and digital assets. He knows the pain points of providers and deployers alike — from machine-readable marking to disclosure obligations.
Article 50(2) requires providers of generative AI systems to mark all outputs in a machine-readable format. Via our API or MCP, you mark every output automatically – C2PA-compliant, robust, interoperable, with usage metering.
Using AI images in campaigns, social media or your shop? As a deployer, you must visibly disclose deepfakes from August 2026. With on:mint, your label is secured and your labeling is provable.
Producing AI content for clients? Sign assets before delivery. Your clients reliably see what is AI and what was changed — and can meet their own obligations.
AI-generated on-model images increasingly replace photoshoots: products are transferred to virtual reference models via AI and circulate in shops and on platforms. The platform adds the machine-readable marking, the shop and brand disclose it visibly — and a signature always makes clear which asset truly came from which production.
Sign and verify entire image collections in batch: what's real, what's AI, what was changed? Ideal for migrating holdings ahead of the deadline.
From August 2, 2026, labeling is mandatory. With on:mint, you don't just meet the requirement — you can prove it at any time.

From August 2, 2026. Providers of generative AI systems must mark outputs in a machine-readable format, recognizable as artificially generated or manipulated (Art. 50(2)). Deployers must disclose deepfakes in a perceivable way, as well as AI-generated text on matters of public interest published without editorial responsibility (Art. 50(4)) – at first exposure at the latest, clearly recognizable, not in the fine print. For systems on the market before August 2, 2026, a transition period until December 2, 2026 applies to machine-readable marking.
Providers develop an AI system or place it on the market under their own name; deployers use it professionally under their own responsibility. Important: even companies that merely use AI tools – say, a brand or agency creating and publishing AI images – count as deployers and carry the obligation. As a provider, you implement machine-readable marking with on:mint via API or MCP; as a deployer, you secure your visible disclosure cryptographically and steganographically and can prove it at any time.
It meets the disclosure obligation — but it is only a claim: removable, overwritable, undocumented. If the asset keeps circulating without the label, you lack proof that you labeled it correctly. Content Credentials make labeling tamper-evident and provable.
Content Credentials are the tamper-proof passport for digital assets: a signed, machine-readable provenance record documenting who created an asset, with which tool, and what was changed. The foundation is the open C2PA standard backed by Adobe, Microsoft, and LinkedIn, among others; on:mint extends it with additional technologies for maximum resilience. That restores transparency and gives digital assets a clear quality signal again. It becomes visible via the Cr icon: one click shows the full provenance history.
We convert them: existing metadata is transferred into the C2PA format, and entire holdings can be signed and verified in batch.
Three ways: the web app for single files with no developer effort, the API for batch processing and production pipelines with usage metering, and MCP for integration into agent workflows.
Our verdict is honest: if content isn't verifiably AI, we don't label it as AI. That also protects your genuine originals from false suspicion.
The infrastructure is located in the EU. Anyone can read the credentials – that is the point of an open standard. You control which details become public: sensitive metadata such as exact GPS locations does not have to be published. Only authorized parties can create and sign credentials; on:mint signs as a C2PA issuer.
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