Why your eyes aren’t enough anymore
A few years ago, deepfakes gave themselves away with extra fingers, melting ears and garbled text. Today’s image, video and voice generators have fixed most of those flaws. In a bank study, 89% of people believed they could identify a deepfake scam — only 42% actually did when tested (Vectra AI).
So treat visual clues as a bonus, not a test. The strongest defence is verification. Try it yourself: our game Spot the Deepfake mixes real photos with AI images — most people do worse than they expect.
Step 1: Check the source before anything else
- Who posted it first? An unknown account, a brand-new page, or a forwarded message with no origin is a warning sign.
- Is it reported anywhere reliable? A genuinely shocking video of a public figure will be covered by major news outlets within hours. If it only exists on social media, be very careful.
- Does the timing feel engineered? Fakes often appear just before an election, a market move or a crisis — when there is no time to check.
Step 2: Use free tools
- Reverse image search — Google Lens or TinEye can show where an image appeared before, and whether it was altered from an older photo.
- Content Credentials — some cameras, apps and AI generators now attach tamper-evident information about how an image was made. If an image carries it, you can inspect its history.
- Be careful with “AI detectors” — online deepfake detectors are often wrong in both directions. Never treat one as proof.
Step 3: Look for clues (they still catch lazy fakes)
- Text and signs: words that almost make sense, or letters that melt together.
- Hands, ears, teeth, jewellery: extra or merged fingers, mismatched earrings, too many teeth.
- Lighting and shadows: light that comes from different directions on different objects.
- Backgrounds: repeating faces in crowds, warped lines, objects that blend into each other.
- Too perfect: flawless skin, cinematic lighting and a composition that tells the story a little too well.
- In video: blurring at the edge of the face, lips slightly out of sync, unnatural blinking, or a face that glitches when the head turns.
- In audio: flat emotion, odd pauses, no breathing sounds, or a voice that won’t answer unexpected questions naturally.
Step 4: For calls and video calls — verify, don’t analyse
If a call, voice message or video call asks you to send money, share a code or keep a secret, don’t try to judge whether it looks real. Hang up and call the person back on a number you already know, or check through a second channel. Families can agree on a safe word for emergencies. Read our full guide to AI voice-cloning scams.
If you find a deepfake
- Don’t share it — even to mock it. Sharing spreads it.
- Report it to the platform where you found it.
- If it shows you or someone you know in a sexual or harmful way, save evidence and report it to the platform and to the police. In many countries this is a crime.
Frequently asked questions
Can you always spot a deepfake?
No. The best deepfakes today have no visible flaws. Visual clues still catch many low-effort fakes, but the reliable protection is checking the source and verifying through a second channel.
Are deepfake detection tools reliable?
Not on their own. Online detectors frequently label real images as fake and fake ones as real. Use them as one signal at most, alongside reverse image search and source checking.
How can I tell if a voice on the phone is AI?
Often you can’t. If the call involves money, urgency or secrecy, hang up and call back on a number you already know, or ask a question only the real person could answer — ideally a pre-agreed family safe word.
What should I do if a deepfake of me is circulating?
Save evidence (links, screenshots, dates), report it to the platform, and if it is sexual, threatening or used for fraud, report it to the police. Many countries now have laws specifically covering non-consensual deepfakes.
What do you think?
Share your experience or your worries with the community — or see what everyone fears most in our live poll.
