What is C2PA (content provenance)?
C2PA (Coalition for Content Provenance and Authenticity) is the open technical standard for cryptographically signed content provenance — a way to attach tamper-evident metadata to images and video that records what created the asset (camera, AI model, editing software), when, and how it was modified after capture. Adobe, Microsoft, Google, OpenAI, Meta, BBC, and Nikon are among the steering members. For AI-generated content, C2PA provides the technical substrate for AI-content disclosure: a generated image can carry a signed claim that says 'this image was created by [model] on [date], no real photograph was used' — verifiable by platforms, fact-checkers, and end users. Adoption accelerated sharply through 2024–2025: Meta, TikTok, and YouTube can now read C2PA claims to populate their 'AI label' badges automatically.
How it relates to AI UGC
ppl.studio's exports support C2PA metadata embedding so generated content carries a provenance claim end-to-end. For brands that want to ship AI UGC at scale while staying ahead of disclosure rules, C2PA is the cleanest mechanism — the asset proves its own origin without the brand having to maintain a separate disclosure ledger per campaign.
Key statistics
- Meta, TikTok, and YouTube adopted C2PA-compatible AI labeling between 2024 and 2025 (platform policy updates).
- The C2PA standard is backed by Adobe, Microsoft, Google, OpenAI, Meta, BBC, Nikon and 80+ member organizations.
- Generative AI tools shipping C2PA support grew from 5 to 40+ major products between 2023 and 2025 (Coalition data).