Sealed Rose
Sealed RoseAI Security & Forensics
Sign In
Deepfake Face Swap Checker

Deepfake Face Swap Checker & Video Detector

Upload any video clip, photo, or paste a link to verify if a face has been swapped, morphed, or digitally altered using DeepFaceLab, FaceSwap, Roop, or generative AI models.

4.8(1.5k)RAM-only (zero storage)3 free daily checks+5 free on sign in

Speed Tip: Clips under 60 seconds analyze fastest (approx. 5–10s). Max video length: 5 minutes / 50 MB.

100% Encrypted & Deleted After Scan

Tip: Screen recordings from WhatsApp, FaceTime, or Telegram are fully supported.

Try a 1-tap demo clip:
Only have a screenshot, selfie, or still photo?
Scan Photo Deepfake

Visual Forensics Guide

How to identify deepfake face swaps in video and photos

Face swap algorithms graft a target identity onto an actor’s body, inevitably producing forensic seams where the synthetic mask meets original footage:

01

Jawline & Neck Boundary Blending Seams

Face swap models overlay a rectangular or oval mask. Sudden head turns or collar interactions reveal blurriness, jitter, or skin-tone step boundaries along the jawline.

02

Eye Blink & Gaze Alignment Anomalies

Replaced faces frequently fail to reproduce realistic saccadic eye motion, natural blink intervals, or correct corneal specular reflections matching scene lighting.

03

Facial Texture Resolution Mismatch

The swapped face often appears softer, smoothed, or sharper than the surrounding hair, neck, and clothing due to separate neural upscale pipelines.

04

Facial Expression Boundary Jitter

Rapid speech, extreme smiles, or furrowed brows can cause the neural mask to snap or drift momentarily off the underlying actor’s bone structure.

How the verification engine works

1. Ingest Media
Upload a video clip, full-resolution photo, or paste any direct media link.
2. Multi-Layer Scan
Scans for frequency patterns, flow-matching artifacts, and generative diffusion noise.
3. Instant Verdict
Clear Real vs. AI verdict with confidence scores, detected generator model, and reverse matches.

Frequently Asked Questions

3 Answers
How does the face swap checker detect manipulated identities?
Our forensic neural network inspects facial landmark consistency, optical flow tracking between frames, frequency disparities between the face region and surrounding head, and deepfake artifact signatures.
Can it detect face swaps in dating app profiles and social video calls?
Yes. It is optimized to catch catfish verification tricks, recorded FaceTime scam clips, Telegram/WhatsApp video proofs, and OnlyFans identity swaps.
Is my media private when running a check?
Completely private. All scans are processed in-memory under strict zero data retention. Your media is never shared, stored, or indexed.
Forensic Detection Hub

Explore Specialized Detection Tools

Targeted forensic checklists, generator signature scanners, and catfish verification guides.

Protect Your Media with Forensic-Grade AI Scanners

Scan unknown video clips, images, and audio with frame-by-frame neural analysis, zero data retention, and cryptographically signed audit logs.