Face Swap Detector
— Check Any Photo Free
Face swaps put a real person's face on someone else's body — the technique behind romance scams, fake video call screenshots and most viral "is this real?" photos. FakeRadar finds every face in your image and scores each one separately with a dedicated face-swap detection model.
Check a Photo for Face SwapsThe Technique
What is a face swap?
A face swap replaces the face in a photo or video with a different person's face, while keeping the original body, pose, clothing and background. Modern AI tools blend the new face so smoothly that lighting, skin tone and head angle all match — making swaps far harder to spot than older photoshopped fakes.
Unlike a fully AI-generated image, most of a face-swapped photo is real. That is exactly what makes it dangerous: reverse image search often finds nothing, the scene checks out, and only the face itself is a lie.
It also makes detection harder. General "AI or not" detectors look at the whole image — and the whole image is mostly authentic. That's why FakeRadar runs a separate, dedicated face-swap model on each individual face, alongside its general AI-generation checks.
Where face swaps show up
- Romance scams Stolen or invented identities on dating apps and social media
- Job interviews Candidates or "recruiters" using someone else's face on video calls
- Disinformation Public figures placed into scenes they were never in
- Harassment Faces inserted into compromising or fabricated images
- Fraud Fake "proof" photos in marketplace, insurance and KYC scams
How It Works
How FakeRadar detects face swaps
Every face is located
A fast face-detection stage scans the image and finds every face — including small or partially turned ones in group photos and screenshots.
Each face is analyzed separately
A dedicated deep-learning model, trained specifically on face-swap and face-manipulation artifacts, examines each face crop independently of the rest of the image.
Per-face scores, color-coded
Each face gets a numbered box and its own score: red for a strong swap signal, amber for an uncertain zone worth a closer look, green for no significant signal.
Cross-checked with other signals
The face-swap result sits alongside FakeRadar's AI-generation ensemble, metadata inspection and (on Pro) ELA and FFT forensics — so you judge the whole picture, not a single number.
Know the Difference
Face swap vs. deepfake vs. AI-generated
| Type | What it is | How much is fake | Best detection approach |
|---|---|---|---|
| Face swap | A real photo or video with one or more faces replaced | Only the face region | Per-face analysis (this tool) |
| Deepfake video | Video with synthesized facial movements, expressions or speech | Face region, motion and often voice | Frame-by-frame + temporal analysis |
| AI-generated image | An image created entirely by a model like Midjourney or DALL·E | Everything | Whole-image ensemble detection |
"Deepfake" is often used as an umbrella term for all three. FakeRadar checks for all of them in a single analysis — the face-swap model, the AI-generation ensemble and the forensic signals run together.
Train Your Eye
6 face-swap signs you can check yourself
Detection tools are strongest when combined with your own judgment. Before or after running an analysis, zoom in and look for these classic face-swap artifacts.
Blending halo at the face boundary
A soft, slightly blurred or discolored ring around the jawline, hairline or ears where the new face was merged in.
Skin texture mismatch
The face looks smoother or sharper than the neck, hands and chest — different noise, pores or compression grain.
Lighting that doesn't match the scene
Shadows on the face fall in a different direction than shadows on the body or background, or eye reflections don't match the light sources.
Broken details at the edges
Earrings, glasses, hair strands or beard edges that melt, double or disappear where they cross the swapped region.
Inconsistent head-to-body proportions
The face is subtly too large, too small or rotated a few degrees off relative to the neck and shoulders.
One face looks "different" in a group photo
In group shots, compare faces against each other: one face with different sharpness, color grading or grain than the rest is a classic swap tell.
FAQ
Face swap detection — common questions
Is the face swap detector free?
Yes. Face-swap detection runs on every FakeRadar analysis, including the free guest scan that requires no account. Registered free users get 3 analyses per day; Pro adds higher limits plus extra forensic tools like ELA heatmaps and FFT spectrum analysis.
How accurate is face swap detection?
No detector is 100% accurate — and you should distrust any tool that claims otherwise. FakeRadar reports a per-face confidence score and frames every result as a signal, not a verdict. Heavily compressed or very low-resolution images reduce accuracy, which is why results are best combined with the other forensic signals FakeRadar provides.
Does it work on every face in a photo?
Yes. FakeRadar first locates every face in the image, then analyzes each one independently. Each face gets its own numbered box and score — so in a group photo, a single swapped face stands out even when the other faces are genuine.
Can it detect face swaps in videos?
FakeRadar Pro includes video analysis, which extracts representative frames (up to 3 minutes / 50 MB) and runs detection on each frame. For a quick free check on a video call or clip, screenshot a clear frame and analyze it as an image. Worried about live interview fraud? Read our guide on deepfake job interviews.
Is my photo stored after the check?
FakeRadar is privacy-first: uploaded files are deleted after analysis. Your images are never used for model training and never shared with third parties.