Deepfake Detection SDK for Trusted Media
Catch AI-generated and manipulated media before it reaches your users, customers, or moderation queue. Every image and video authenticity check runs entirely on your own infrastructure.
SYNTHETIC
AI Generated
94% confidence · flagged
Catching the Statistical Fingerprints Synthetic Media Leaves Behind
Generative AI now puts convincing fake faces and face-swaps within reach of almost anyone. FacePlugin’s Deepfake Detection SDK examines images and video frames for the statistical fingerprints these generation models leave behind – inconsistent facial artifacts, unnatural frequency signatures, and lighting or blending anomalies that go unnoticed by the human eye.
It’s designed to defend the moments where synthetic media does the most damage: identity onboarding where a fraudster injects a synthetic selfie, KYC and eKYC pipelines, trust-and-safety review, and any content workflow exposed to AI-generated media. Like every FacePlugin product, it runs entirely on your own infrastructure, so sensitive media never has to be uploaded to a third party for analysis.
Deepfake detection is a natural complement to liveness detection rather than a replacement for it: liveness confirms a real person was present at the moment of capture, while deepfake detection inspects the media itself for signs of synthetic generation or after-the-fact manipulation. Run together, the two form a layered defense against the fast-moving landscape of AI-enabled identity fraud.
Guarding Both Onboarding and Content Pipelines
Flag synthetic media right at the point of capture during KYC, or screen uploads at scale across trust-and-safety and media-moderation workflows.
What the Deepfake Detection SDK Checks For
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.
Where Deepfake Detection Earns Its Keep
KYC injection defense
Catch synthetic selfies injected into remote onboarding and identity-proofing flows.
Trust and safety
Screen profile photos and user uploads for AI-generated fakes at scale.
Newsroom and media
Check whether submitted images and video are authentic before they go to publication.
Dating and marketplaces
Flag AI-generated profile pictures used for catfishing or scams.
Integrate Deepfake Detection in Three Steps
Submit
Send an image or video frame to the on-premises detection endpoint.
Analyze
The SDK scores the media for AI-generation and manipulation signals, locally.
Flag
An AI-generated / manipulated confidence score comes back so you can route or block the media.
Built to Catch GAN and Diffusion-Model Fakes
Modern face generators and face-swap tools leave detectable traces behind. The SDK scores media for AI generation and manipulation and returns a clear confidence signal your systems can act on.
Frequently Asked Questions
What kinds of AI-generated content can the SDK spot?
The SDK recognizes AI-created faces, face swaps, synthetic portraits, and manipulated images or video frames produced by modern generative AI models.
How does deepfake detection differ from liveness detection?
Liveness verifies that a real person is present during capture, while deepfake detection examines the images and videos themselves for signs of AI generation or digital manipulation.
Can the SDK analyze many files at once?
Yes. It supports both real-time checks during capture and large-scale batch processing for content moderation and fraud-prevention pipelines.
Where does the deepfake analysis actually run?
All processing happens within your own infrastructure, so images and videos stay private and are never sent to an external cloud service.
Can the SDK keep up with new deepfake techniques?
Yes. The detection engine is continually refined to address emerging AI-generated media techniques, and you can deploy updated models on your own infrastructure whenever you’re ready.
SDKs behind this solution
Face Recognition SDK
Precise 1:1 and 1:N face matching, running entirely on your own infrastructure.
Face Liveness SDK
Passive and active anti-spoofing that catches presentation attacks before they reach matching.
ID Verification Suite
The complete eKYC flow for verifying identity during onboarding.
Stop Synthetic Media in Your Pipeline
Talk to our team about adding on-premises deepfake detection to your content, KYC, or security workflows.