Proofly

Proofly is a deepfake face-swap detection tool that accepts media submissions and returns an authenticity verdict. The core workflow is single-shot: you submit an image or video via the API, and the model returns a result. There is no multi-step agent loop, no approval queue — the output is a detection signal your system acts on. Free checks are available for the face-swap use case, with per-request paid access available beyond that threshold.

The differentiating claim is precision. The vendor publishes a comparison table showing Proofly at 99.2% precision against competitors ranging from 89.91% to 98.8%, at a per-request cost below every named alternative except facia.ai, which requires a one-time flat fee that makes it inaccessible for variable-volume use. No minimum subscription or spend floor means a team processing 200 requests in one month and zero the next pays only for what they used — a model that none of the higher-priced competitors in the vendor’s table offer.

Proofly fits content moderation platforms and media verification teams where the specific threat is face-swap manipulation and where billing predictability matters. It does not address the full spectrum of synthetic media threats: audio deepfakes, non-face GAN artifacts, document forgery, or metadata tampering are outside what the vendor describes. Teams whose security posture requires detecting any of those signals will find Proofly handles one slice of a larger problem and will need to integrate additional detection layers. Self-hosting is not available, so teams with data-residency requirements that prohibit sending media to a third-party API face a hard architectural constraint from the start.