Deepfake Video Detection
Evaluate clips for face-swapping, lip-sync manipulation, facial jitter, and temporal inconsistencies tied to generative video models like Sora 2, Veo 3, and Kling.
Open Deepfake Video DetectorAIGuardian
Visual AI Forensics & Deepfake Detection
Detect Deepfakes, AI Video & Synthetic Images with Visual Forensics
Frame-level forensics, face-swap detection, and visual artifact analysis for security teams, media organizations, and fraud prevention. Explainable signals, not black-box verdicts.
- Deepfake video, AI image & visual forensics in one workflow
- Explainable forensic scores — signals, not black-box verdicts
- Transparent self-serve plans — clear quotas, no hidden enterprise barriers
Visual AI Forensics & Detection Features
Specialized forensic modules for generative video, synthetic images, and multimodal media—trained on cutting-edge diffusion and generative architectures for audit-ready review.
AI Image Forensics
Identify synthetic imagery from Midjourney, FLUX.1, DALL·E 3, Grok Imagine, and Stable Diffusion using frequency-domain (FFT) and diffusion artifact analysis.
Open AI Image DetectorDeepfake Scam & Identity Defense
Screen video calls, KYC presentations, and social media clips for biometric face-swapping and synthetic audio-visual manipulation.
Explore Deepfake GuideDeepfake, AI Video & Image Forensics Demo
Watch AIGuardian run a visual media forensics review: detect deepfake video, inspect synthetic image artifacts from diffusion models, and verify media authenticity—in one explainable workflow.
Prefer a new tab? Open the AIGuardian demo on YouTube
How AIGuardian Works
Beyond surface-level heuristics: multi-frame temporal consistency, frequency-domain FFT analysis, and cryptographic provenance to support defensible verification.
Frame & Temporal Consistency
Analyze video sequences frame-by-frame for facial warping, temporal flicker, and biological inconsistencies that expose generative manipulation.
Spectral & Diffusion Artifacts
Inspect high-frequency spatial anomalies, abnormal sensor noise distributions, and generative diffusion signatures invisible to the naked eye.
Audit-Ready Confidence Signals
Receive probabilistic confidence breakdowns paired with explainable signals and provenance data for defensible human-in-the-loop review.
Why Choose AIGuardian
Engineered for visual media authenticity: explainable forensic signals, low false-positive calibration, and instant self-serve access without enterprise lock-in.
- Next-gen generative model calibrationForensic models calibrated against Sora 2, Veo 3, Kling, FLUX.1, and Midjourney v6 architectures.
- Real-world optical sensor baselinesTrained against diverse real camera hardware and authentic sensor profiles to reduce false-positive rates.
- Deepfake verification playbooksPair the detector with our Deepfake Detection Guide for trust & safety and forensic verification workflows.Deepfake review guide
- Transparent self-serve pricingPublished Free → Monthly plans and API paths—start inspecting immediately without enterprise sales delays.See pricing
Who Uses AIGuardian
Organizations and professionals defending trust, digital authenticity, and media integrity.
Trust & Safety Teams
Screen user-generated media for synthetic manipulation, face-swap scams, and identity fraud before broadcast or publish.
News Media & Fact-Checkers
Verify breaking news imagery, viral video clips, and source media authenticity before reporting.
Cybersecurity & KYC
Protect identity verification pipelines against synthetic face injection, presentation attacks, and deepfake impersonation.
Digital Creators & Studios
Audit visual assets and protect brand authenticity against unauthorized AI clone generation.
Forensic Analysts & Researchers
Analyze media evidence with explainable frequency-domain signatures and provenance verification.
Educators & Institutions
Review student multimedia projects, digital artwork, and synthetic media with fair, explainable signals.
Use-Case Guides
Product tools execute forensic scans. These solution playbooks guide investigators on applying signals to real-world verification challenges.
Deepfake Detector Guide
Practical steps for evaluating suspected deepfake video, facial manipulation, and synthetic media.
Gemini Multimodal Guide
Review playbook for Google Gemini multimodal image and video generation in editorial workflows.
Sora & Kling Video Forensics
How temporal consistency analysis catches synthetic physics and generative anomalies.
Deepfake Scam Prevention
Identifying AI face-swaps in real-time video calls, financial phishing, and social media.
The Science of Visual AI Forensics
As generative video models (such as Sora 2, Kling, and Veo 3) and image diffusion engines (like FLUX.1 and Midjourney v6) evolve, synthetic media has become virtually indistinguishable from optical camera capture to the human eye. Modern digital forensics relies on identifying the subtle mathematical and statistical fingerprints left by generative synthesis.
Our video detection pipeline investigates temporal consistency across consecutive frames, tracking facial landmark stability, abnormal optical flow, and unnatural reflections that reveal face-swap or generative synthesis. In static images, frequency-domain (FFT) analysis exposes abnormal high-frequency energy distributions and diffusion denoising signatures.
Complementing visual forensics, AIGuardian supports cryptographic provenance standards (such as C2PA Content Credentials) and multimodal visual forensics—providing security investigators, newsrooms, and trust & safety teams with multi-layered, defensible evidence for informed decision-making.
Start verifying digital media authenticity today
Flexible plans for deepfake video, AI image, and multimodal detection — choose the quota that fits your team.
Frequently Asked Questions
How does AIGuardian detect synthetic media and deepfakes?
AIGuardian uses trained computer vision and forensic classifiers to analyze frame-to-frame temporal consistency, facial landmarks, frequency-domain (FFT) anomalies, and diffusion artifacts across video and images, alongside multimodal visual forensics. Scores are probabilistic signals for human review.
Is AIGuardian free to use?
AIGuardian is free to sign up and includes daily credits — claim them via daily check-in, or watch rewarded videos in the mobile app. For higher-volume investigative pipelines, choose Weekly, Monthly, Quarterly, or Annual plans.
What modalities and models does AIGuardian cover?
AIGuardian specializes in deepfake video detection (Sora 2, Kling, Veo 3, Runway) and synthetic image forensics (Midjourney, FLUX.1, DALL·E 3, Stable Diffusion), delivering frame-level temporal consistency and frequency-domain artifact analysis.
Can deepfake video and images evade detection with filters or compression?
While recompression and social media filters can obscure superficial artifacts, AIGuardian examines underlying pixel-level frequency spectra and biological temporal consistency (such as eye reflections and facial warping) that survive re-encoding.
How accurate is visual AI forensics?
No AI detector is 100% accurate. AIGuardian delivers probabilistic confidence scores and visual artifact signals calibrated to minimize false positives, designed to empower trust & safety teams, journalists, and security professionals.
How does C2PA Content Credentials complement detection?
C2PA cryptographic provenance tracks content creation at the source. Because social networks often strip metadata, AIGuardian forensic pixel and frame analysis provides essential verification when metadata is absent.
Is my uploaded media kept private?
Yes. All uploads are processed via encrypted TLS 1.3 connections. Files are inspected in volatile memory and deleted immediately after analysis completes—never used to train models or stored permanently.
How should teams use detector scores in their workflow?
Treat scores as explainable evidentiary signals, not automatic binary verdicts. Pair detector heatmaps with source verification, provenance checks, and expert review before making legal, editorial, or enforcement decisions.