Mark AI outputs · detect synthetic content · disclose deepfakes
Text, image, audio & video API · JSON-LD compliance labels · signed PDF certificates with QR
Build transparency, review and evidence controls around synthetic media, chatbots and AI-assisted content.
TrustOriginality is detection and documentation infrastructure — not a government approval, but tooling that helps providers and deployers demonstrate Article 50 due diligence.
Mark AI outputs · detect synthetic content · disclose deepfakes
Text, image, audio & video API · JSON-LD compliance labels · signed PDF certificates with QR
Voluntary framework for marking & labelling AI-generated content
Audit CSV/PDF exports · monthly reports · WordPress publish gate & auto-disclosure
Technology-neutral provenance standard referenced by the Commission
C2PA manifest reading · registry & perceptual hash · contradiction flags
Personal data protection · platform transparency & moderation evidence
Text input hashing · PDF retention controls · evidence ZIP packages for auditors
Long-term qualified electronic attestations (roadmap)
Attestation JSON API · unique certificate keys · HMAC evidence manifests
Analyze text, image, audio and video inputs before they reach users or regulators.
Create signed reports, logs and review artifacts that teams can actually retain.
Show counterparties and auditors a repeatable evidence trail for transparency controls.
Do not use TrustOriginality as the sole automated basis for hiring, grading, law enforcement, migration, justice, or critical infrastructure decisions. Our Acceptable Use Policy defines these limits.
A practical path to baseline gaps, deploy operating controls and collect evidence before the first major deadline.
Map current AI-assisted content flows, disclosure points and review responsibilities.
Activate detection, provenance capture, approval gates and standardized report outputs.
Maintain logs, train reviewers and prepare for recurring control checks.
PDF downloads are available in the language pills above.