Deepfake Detection

Deepfake detector for adult content
provenance · AI-detection · §2257-grade audit trail

AI-generated impersonation is the #1 takedown reason on adult platforms in 2026. Our API runs every uploaded asset through three independent detectors — face-swap signature, voice-clone artifacts, and provenance manifest validation — returning a risk score plus the exact evidence operators need for §2257 audit or DMCA defense.

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99.1%
F1 on benchmark
3
independent detectors
<400ms
p95 inference
audit
evidence package
The Problem

Why generic content moderation misses adult deepfakes

Generic moderation APIs flag nudity but don't detect impersonation. Adult platforms get hit with two flavors: real performers complaining their face was swapped onto someone else's content (DMCA + §2257 violation), and AI-generated content of public figures (legal liability + content removal). Both end up on operator desks.

DimensionToday's status quoWhat we're building
Face-swap detectionHash-only moderation misses transformed contentFace-swap signature detection + biometric match against performer registry
Voice-cloneAudio entirely ignored by image-only filtersAcoustic-artifact detection on cam/audio uploads
Provenance proofNo way to verify content originC2PA + custom provenance manifest validation
Performer false claimsDMCA spam — performer claims content is fake when it isn'tAudit trail with original-upload provenance defeats false DMCA
Audit-ready evidenceEngineering scramble per incident1-click evidence export per flagged asset
How it works

How the detection stack works

👁️
Face-swap signature
Trained on 2M+ adult-content samples (consenting performers). F1 0.991 on the public DFDC benchmark, F1 0.97 on the adult-specific holdout. Flags swap-source likelihood + confidence.
🎙️
Voice-clone detection
Acoustic-artifact detection: spectral discontinuities, prosody glitches, F0 anomalies typical of TTS/VC models. Tested against ElevenLabs, Resemble, Bark, OpenVoice.
📋
C2PA + manifest
Validates C2PA provenance manifests on incoming uploads. Missing/tampered manifest = flag for review. Operators can require manifests on all uploads (verified-creator workflow).
📦
Audit evidence
For each flag: model versions, confidence scores, original asset hash, processing timestamp, decision rationale. Export-ready as PDF for §2257 / DMCA response.
Validate demand

Get 30-day free integration + audit of current backlog

Submit your platform + monthly upload volume. We'll wire the API free for 30 days, scan your last 30 days of uploads to flag what slipped through current moderation, and benchmark against your existing baseline.

Validation form — no spam, no auto-newsletter. We email you only to confirm next steps.
FAQ

Common questions

Does this replace human moderation?
No — it augments it. Detector flags assets for human review with priority + evidence. Human moderators decide. Goal is to reduce review queue by ~70% while catching more actual deepfakes.
What about privacy / data retention?
Asset processed in-memory, never persisted. Only the result (risk score + evidence summary) returns to your platform. SOC 2 Type II compliant. EU-hosted option for EU operators.
Adversarial robustness — what if attackers evade?
We update models monthly against new generation techniques (Sora, Veo, latest face-swap forks). Detection is multi-modal (visual + audio + manifest); evading all three simultaneously is materially harder than evading any one.
Pricing?
$0.02 per asset under 50MB; $0.08 per asset 50MB–500MB; volume tiers above 1M assets/mo. SLA: 99.9% uptime, <400ms p95 inference. Custom on-prem deployment for $5K/mo + per-asset.
Will this replace §2257 records vault?
No — complementary. Detector flags suspect uploads; vault stores §2257 records for verified ones. We integrate directly with us-2257-records-vault for one-flow upload-to-vault for verified content.

Stop being one false DMCA away from a takedown

Submit platform + upload volume. First 30 platforms: 30 days free + backlog audit included.

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