Deepfake Detector
— Check Images & Videos Free
Deepfakes put words in people's mouths and faces where they never were — behind election hoaxes, CEO fraud calls and viral "did they really say that?" clips. Upload an image or video frame and FakeRadar runs multiple detection engines plus per-face analysis to tell you whether it was synthesized.
Check for DeepfakesThe Threat
What is a deepfake?
A deepfake is media — usually a face in a photo or video — that has been synthesized or manipulated by AI to show a person doing or saying something they never did. The term covers everything from a single swapped face to a fully fabricated video with matching expressions, lip movements and voice.
What makes 2026 deepfakes dangerous is that they no longer look broken. The uncanny artifacts that gave away early fakes — flickering edges, dead eyes, mismatched teeth — have largely been ironed out. The human eye is no longer a reliable detector, which is exactly why signal-based forensic analysis matters.
FakeRadar doesn't rely on a single model's guess. It runs a multi-engine ensemble, analyzes every face separately, and on Pro exposes the underlying forensic evidence so you can judge for yourself — not just trust a number.
Where deepfakes do damage
- Politics Fabricated clips of candidates and officials during election cycles
- Financial fraud Cloned executives on video calls authorizing fake transfers
- Scams Romance and investment cons built on synthetic faces
- Reputation Non-consensual and defamatory videos targeting individuals
- Misinformation Viral "leaked footage" that never actually happened
How It Works
How FakeRadar detects deepfakes
Multi-engine ensemble
Several commercial detection models score the content independently and are cross-checked against each other. No single engine gets the final word — agreement between them is far stronger than any one guess.
Per-face deepfake analysis
Every face in the image is located and scored separately by a dedicated model trained on face-swap and manipulation artifacts — so a single fake face stands out even in a crowd.
Video, frame by frame (Pro)
For clips up to 3 minutes / 50 MB, FakeRadar extracts representative frames and runs detection on each one, surfacing the frames where the deepfake signal is strongest.
Forensic cross-check (Pro)
ELA heatmaps, FFT spectrum analysis, C2PA Content Credentials and EXIF inspection sit alongside the AI score — so you judge the full forensic picture, not a single percentage.
Know the Types
The main kinds of deepfake
| Type | What it does | Where you see it | FakeRadar coverage |
|---|---|---|---|
| Face swap | Replaces one face with another in a real photo or video | Scams, fake proof photos, harassment | Yes — per-face model |
| Face reenactment | Drives a real face with synthetic expressions and lip movements | Fake speeches, "talking head" hoaxes | Yes — visual frame analysis |
| Full AI generation | An entirely synthetic person who never existed | Fake profiles, bot accounts | Yes — AI-generation ensemble |
| Voice clone | Synthesized audio mimicking a real person's voice | Phone fraud, fake voice notes | No — visual only |
FakeRadar focuses on visual deepfakes — images and video frames. It does not analyze audio. For voice clones you'll need a dedicated audio-detection tool.
Train Your Eye
6 deepfake signs you can check yourself
Detection tools are strongest combined with your own judgment. Modern deepfakes are good — but under scrutiny, especially in video, these tells still show up. Pause on a clear frame and look.
Edges of the face that shimmer
In video, watch the jaw and hairline as the head turns — a faint flicker or warping where the synthesized region meets the real footage.
Teeth, tongue and inner mouth
Mouth interiors are hard to fake. Look for teeth that blur into a single block, or a tongue that never quite resolves during speech.
Unnatural blinking and gaze
Too little blinking, blinks at odd moments, or eyes that don't quite track where the person is looking.
Lighting and reflections that don't match
Highlights on the face fall differently than on the neck or background; eye reflections don't match the scene's light sources.
Lip-sync drift
Audio and mouth movements that fall slightly out of step, or mouth shapes that don't match the sounds being spoken.
Skin and texture mismatch
The face looks smoother, sharper or differently grained than the neck and hands — a classic sign of a synthesized or swapped region.
FAQ
Deepfake detection — common questions
Is the deepfake detector free?
Yes. Deepfake and AI-generation detection runs on every FakeRadar analysis, including the free guest scan that needs no account. Registered free users get 3 image analyses per day. Video analysis and the deeper forensic tools are part of Pro.
How accurate is deepfake detection?
No detector is 100% accurate, and any tool claiming otherwise is overselling. Accuracy drops on heavily compressed clips, screen recordings and the newest generators. FakeRadar reports a confidence score and frames every result as a signal, not a verdict — which is why it cross-checks multiple engines instead of trusting one. For more, see why detection is signal-based.
Can FakeRadar check deepfake videos?
Yes, on Pro. Video analysis extracts representative frames from a clip (up to 3 minutes / 50 MB) and runs detection on each frame, including per-face checks. For a quick free check, screenshot a clear frame and analyze it as an image. Worried about live video-call fraud? Read our guide on deepfake job interviews.
Does it detect AI voice or audio deepfakes?
No. FakeRadar focuses on visual deepfakes — images and video frames. It does not analyze audio or cloned voices. For audio deepfakes you'd need a dedicated voice-detection tool. Suspect a swapped face specifically? See our face swap detector.
Is my file stored after the check?
FakeRadar is privacy-first: uploaded files are deleted after analysis. They are never used for model training and never shared with third parties.