How to Spot an AI-Generated Photo or Deepfake Video (Before You Trust It)

A photo or video used to be good evidence. Not anymore. Today’s AI tools can generate a convincing face, a fake “proof of life” photo, or a video of someone saying words they never said — in seconds, for free. The tells that used to give AI images away (mangled hands, six fingers, garbled faces) have mostly been fixed. What’s left is a smaller, quieter set of clues, plus a habit of checking before you trust. This guide covers both.

Here’s what that can look like: a text arrives from a number that looks like your grandson’s, with a photo attached showing him bruised and sitting in what looks like a jail holding cell. He needs bail money wired today, it says, and he’s too embarrassed to call his parents. The photo looks completely real. It isn’t — and the checks below would have caught it in under a minute.

Why this matters more than it used to

AI-generated images and video used to be a novelty. Now they’re a routine part of how people get scammed. Reporting compiled by the Journal of Accountancy found AI-powered scams cost American seniors an estimated $352 million in 2025, with more than 3,100 victims age 60 and older reporting losses to the FBI — and researchers expect AI-enabled fraud losses to keep climbing sharply. A growing share of that fraud now leans on fabricated photos and video, not just a cloned voice on the phone.

The honest caveat: detection is genuinely hard, even for experts. A widely cited pooled analysis of dozens of studies found that people, on average, correctly identify deepfake video only slightly better than a coin flip. Dedicated AI-detection tools do better, but not by as much as you’d hope — independent testing has found the best tools catch roughly three-quarters of images from older AI generators, but as few as one in five from the newest ones. No single check is reliable on its own. A combination is.

Where this shows up in real scams

The “grandchild in trouble” phone call has existed for years. What’s changed is that scammers can now pair a cloned voice with a fabricated photo — a fake “hospital bed” or “jail cell” image — to make the emergency feel real at a glance, not just by ear. Romance scams increasingly use an AI-generated photo of an attractive stranger rather than a stolen one, which defeats a reverse-image search that would have caught a stolen photo instantly. And officials-impersonation scams — someone posing as a bank, Social Security, or Medicare representative — increasingly arrive with a fabricated video or a doctored ID photo attached, not just a phone call.

In every version, the photo or video is there to shortcut your judgment — to make you feel like you’ve already confirmed something you haven’t. That’s exactly why the checks below matter more than they used to.

Five signs a photo might be AI-generated

1. Text that doesn’t quite work

This is still the single most reliable visual tell. AI image generators are good at faces now, but bad at lettering. Look at street signs, license plates, book spines, shop awnings, or small print on packaging in the background of a photo. If the letters are almost-words, garbled, or nonsensical, that’s a strong sign the image was generated rather than photographed.

2. Hands, ears, and background clutter

The classic “six-finger hand” mistake has mostly been fixed, so don’t rely on it alone anymore. But background details are still weak spots: look for a person in the crowd with an odd number of fingers or limbs, furniture that bends in an impossible way, or objects that blend into each other where they shouldn’t.

3. Skin, light, and shadows that don’t agree

Watch for skin that looks unnaturally smooth or poreless, and for shadows that don’t make sense together — one person’s shadow falling one direction while a nearby object’s shadow falls a different way suggests two light sources that shouldn’t both exist in a real photo.

4. No camera information behind the photo

Real photos from real cameras and phones usually carry hidden technical details — camera model, lens, sometimes location — embedded in the file. Most AI-generated images either strip this out entirely or fill it with generic placeholder information. This only works if you have the original file (not a screenshot), so treat it as a bonus check, not a first step.

5. It doesn’t exist anywhere else

This is the highest-value check of all, and it’s free: a reverse-image search (see the tools section below) instantly shows whether a “breaking” or “urgent” photo is actually old, from a different country, attached to a different name, or already debunked elsewhere. A dramatic photo that exists on exactly one account, with no other trace of it anywhere, deserves suspicion regardless of how convincing it looks.

Five signs a video might be a deepfake

1. Eyes that don’t blink naturally

Real people blink every few seconds without thinking about it. AI-generated faces sometimes stare for unusually long stretches without blinking, or blink in a way that looks mechanical rather than a natural, relaxed reflex.

2. Blurring when the head turns

Many face-swap and deepfake tools are strongest when someone is facing the camera. When the subject turns their head to the side, watch the jawline, ear, and hairline — smearing, warping, or an odd texture change at that moment is a strong sign of manipulation.

3. Lighting that doesn’t match the room

The same shadow logic from photos applies to video: if the face is lit from one direction but the background or the person’s own shoulders suggest a different light source, something was added or altered.

4. Flickering at the edges of the face

Look closely at where the face meets the hair, neck, and background. A faint flicker, color mismatch, or soft blur that comes and goes frame to frame — especially if the rest of the image is sharp — is a sign of a face swapped onto footage rather than filmed as one continuous scene.

5. Lips and words that are slightly out of sync

When audio and video are generated or edited separately, mouth movements can fall just out of step with the words — not always enough to consciously notice, but enough to feel slightly “off.” Trust that feeling. If a video feels uncanny and you can’t say why, that instinct is worth listening to.

Free tools worth using (not just your eyes)

• Reverse image search. On a computer, right-click any photo in Chrome and choose “Search image with Google,” or use Google Lens on a phone. This is the single most useful check on this list — it tells you where else a photo has appeared and how old it really is.
• Content Credentials (C2PA). A growing number of cameras, editing tools, and AI generators now attach a “nutrition label” to files showing how they were made or edited. Free tools like the C2PA Viewer website or the C2PA Checker browser extension let you check a file for this label. Not every image carries one yet, but when it’s present, it’s strong evidence.
• Built-in watermark checks. Google’s SynthID watermark is embedded invisibly in images made with Google’s AI tools and can survive cropping and screenshots. In Chrome, right-clicking an image and choosing “About this image” can sometimes surface this.
• Dedicated AI-detector sites and apps. These exist and can help, but treat any single result as one data point, not a verdict — independent testing shows their accuracy varies enormously depending on which AI tool made the original image.

What to do when you’re not sure

You don’t need to become a forensic analyst. You need one habit: verify through a separate channel before you act on what a photo or video shows you. If you’ve already set up a family verification word, use it. If not, a phone call to a number you already have — not one from the message itself — does the same job.

I don’t make decisions based on a photo or video alone. I’ll verify this a different way before I do anything.

That one sentence, said out loud or just held in mind, is more reliable than any visual trick on this page.

Quick recap: the 30-second version

• Reverse-image search it first — it’s free and catches the most fakes.
• Look for garbled text, odd hands, or shadows that don’t match.
• Watch for a face that doesn’t blink, blurs when it turns, or has lips slightly out of sync.
• Check for Content Credentials (C2PA) or a SynthID watermark.
• If it’s pushing you to act fast, verify through a separate channel before you do anything.

Frequently asked questions

Can I trust a video call just because I can see the person’s face?

Not fully. Real-time deepfake tools that work on live video calls exist, though they’re harder to pull off convincingly than a pre-recorded clip. For any request involving money or sensitive information, use your family verification plan regardless of whether it’s a call, video, or text.

Are AI-image detector apps reliable enough to trust on their own?

No single tool is. Their accuracy drops sharply against the newest AI generators. Use a detector as one signal among several — alongside a reverse-image search, a look at the context of where the image came from, and your own judgment.

Should I stop posting family photos online?

Not necessarily — but it helps to know that any photo posted publicly can be pulled and reused, including to build a convincing look-alike. A few low-effort protections: keep family photos on private or friends-only settings where you can, avoid pairing a child’s name and location in the same post, and set up a family verification word regardless of your privacy settings, since a determined scammer can still find a face online.

Sources and further reading

• Journal of Accountancy: Elder fraud rises as scammers use AI
• Federal Trade Commission: AI and family emergency schemes
• FBI: Spoofing and phishing
• Research: Intergenerational support for deepfake scams targeting older adults

Sources checked August 19, 2026. Detection techniques change quickly as AI tools improve — treat specific visual tells as a starting point, not a guarantee, and lean on verification habits over any single trick. General safety education; not legal or financial advice.