Product

Deepfake Detection SDK for trusted media

Flag AI-generated and manipulated media before it reaches your users. Run image and video authenticity checks entirely on your own infrastructure.

Deepfake Analysis
AI DETECTOR
Photo
SYNTHETIC

AI Generated

94% confidence • flagged

Facial Artifacts 94%
Frequency Signature 88%
Lighting Consistency 67%
⚠ Likely AI-Generated Media

GAN

& diffusion aware

Img

+ video analysis

KYC

injection defence

100%

On-premises

Generative AI has made convincing fake faces and face-swaps available to anyone. FacePlugin Deepfake Detection SDK analyses images and video frames for the statistical fingerprints these models leave behind — inconsistent facial artifacts, unnatural frequency signatures, and lighting or blending anomalies that the human eye misses.

It is built to defend the moments that matter: identity onboarding where a fraudster injects a synthetic selfie, KYC and eKYC pipelines, trust-and-safety review, and any content workflow where AI-generated media creates risk. Like every FacePlugin product, it runs entirely on your infrastructure, so sensitive media is never uploaded to a third party.

Deepfake detection complements liveness: liveness confirms a real person was present at capture, while deepfake detection inspects the media itself for signs of synthetic generation or manipulation. Together they form a layered defence against the fast-moving landscape of AI-enabled identity fraud.

Deepfake Analysis
Synthetic media undergoing deepfake analysis
AI-generated probability 94%
Facial artifacts Detected
Frequency signature Suspicious
Lighting consistency Failed
Likely AI-Generated Media 94% confidence · flagged for review
Processed on-premises

Protect onboarding and content pipelines

Flag synthetic media at the point of capture in KYC, or screen uploads at scale in trust-and-safety and media workflows.

Face + liveness in one check

What the Deepfake Detection SDK does

FacePlugin’s biometric authentication bundles face detection, template extraction, and active or passive liveness into one lightweight SDK.

AI-generated face detection

Identify synthetic faces, GAN artifacts, and diffusion-generated portraits in images and videos.

On-premises inference

Run every analysis inside your own servers or devices; no media is uploaded to a third-party API.

Confidence scoring

Get a per-image and per-region confidence score plus a human-readable authenticity verdict.

Image manipulation analysis

Detect frequency anomalies, compression inconsistencies, and splicing artifacts introduced by editing tools.

Content pipeline ready

Drop into moderation, KYC, media, and social workflows to stop synthetic media before it is published.
Use cases

Where teams use it

KYC injection defence

Detect synthetic selfies injected into remote onboarding and identity proofing.

Trust & safety

Screen profile photos and uploads for AI-generated fakes at scale.

Newsroom & media

Verify whether images and video are authentic before publishing.

Dating & marketplaces

Flag AI-generated profile pictures used to catfish or scam.

How it works

Integrate in three steps

Submit

Send an image or video frame to the on-premises detection endpoint.

Analyse

The SDK scores the capture for liveness and presentation-attack signals locally.

Flag

Receive an AI-generated / manipulated confidence score to route or block the media.

Catches GAN and diffusion fakes

Modern face generators and swap tools leave detectable traces. The SDK scores media for AI-generation and manipulation with a clear confidence signal your systems can act on.

AI-generated (GAN / diffusion) face detection

Face-swap and reenactment detection

Per-region artifact and frequency analysis

FAQ

Frequently asked questions

The SDK recognizes AI-created faces, face swaps, synthetic portraits, and manipulated images or video frames produced by modern generative AI models.

Liveness verifies that a real person is present during capture, while deepfake detection examines images and videos for signs of AI generation or digital manipulation.

Yes. It supports both real-time verification during capture and large-scale batch processing for content moderation and fraud prevention.

All processing is performed within your own infrastructure, ensuring images and videos remain private and are never sent to external cloud services.

Yes. The detection engine is continuously enhanced to address emerging AI-generated media techniques, and you can deploy updated models whenever needed on your own infrastructure.

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SDKs behind this solution

Face Recognition SDK

Accurate 1:1 and 1:N face matching on your own infrastructure.

Face Liveness SDK

Passive and active anti-spoofing that stops presentation attacks.

ID Verification Suite

End-to-end eKYC when you need to verify identity at onboarding.

Stop synthetic media in your pipeline

Talk to our team about adding on-premises deepfake detection to your content, KYC, or security workflows.

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