The best AI video detector depends on who's checking and why. Some tools let you upload a clip and get a score, some are APIs built for platforms, banks and insurers, and one proves footage is real at the moment it's filmed instead of judging it afterwards. Ten options follow in no particular order, and none of them is proof on its own.
AI video generators now make clips that are hard to tell from real footage, and the people who need to check them range from a newsroom with one suspicious video to an insurer handling a steady stream of claim photos and videos. The tools reflect that split far more than their home pages suggest.
The ten below are listed alphabetically, in no particular order, and each description comes from the vendor's own page, read as of Nov 2026. I've kept to what each page says the tool does and who it's built for, and left out accuracy claims.
Deepfake video checkers at a glance
| Tool | Type | Good for |
|---|---|---|
| Attestiv | File validation for insurers and banks | Claims and fraud checks |
| Copyleaks | AI video detector | A share-of-video score |
| Deepfake Detector | Checker for audio, video and images | A free demo without signup |
| DuckDuckGoose | Enterprise deepfake detection | Identity verification flows |
| Hive | Detection APIs for platforms | Synthetic media at scale |
| Reality Defender | Deepfake and AI caller detection | Deepfakes in files, calls and meetings |
| Resemble Detect | Multimodal deepfake detector | An explanation alongside the result |
| Sightengine | Detection API for developers | Video checks inside your own product |
| Truepic | Capture-time authentication, not a detector | Proving footage at the source |
| TruthScan | AI video verification platform | Real-time checks with audit logs |
Ten tools for spotting AI-generated and deepfake video
Attestiv
Best for: Insurance, financial services and cybersecurity teams validating claim photos, documents, audio and video, and spotting synthetic audio and video.
Copyleaks
Best for: Seeing how much of a video file contains AI-generated content, whether visual, audio or both.
Deepfake Detector
Best for: Trying a free demo, without signup, of a tool that says it tells real audio, video and images from synthetic ones.
DuckDuckGoose
Best for: Catching a fake selfie, document or voice clone inside an identity verification flow.
Hive
Best for: Platforms that need synthetic images, video and audio identified at scale through detection APIs, with a demo and playground to try.
Reality Defender
Best for: Organisations that want deepfakes exposed across audio, video and images, with separate products for scans, APIs, calls and meetings.
Resemble Detect
Best for: Getting an explanation, not only a score, for audio, video and images checked for deepfakes.
Sightengine
Best for: Developers who want AI-generated video detection in their own product, with a page to drop a video in first.
Truepic
Best for: Verifying photos and videos as they're captured, with verified time, date, device and location metadata, instead of judging a file afterwards.
TruthScan
Best for: Checking clips in real time, with detection history, audit logs and an evidence export for video authenticity work.
Upload checker, platform API or proof at capture?
Copyleaks' video page explains its main number as 'The total percentage of the video file that contains AI-generated content'. Deepfake Detector says it 'identifies whether an audio, video, or image is real or synthetic', and Sightengine lists 'Detect AI-Generated Videos' with a page to drop a file in. TruthScan adds a limit you'd want to know about: 'Video analysis is limited to the first 60 seconds'.
Others are built for organisations. Hive says its APIs help platforms 'identify synthetic images, video, and audio at scale', and Resemble Detect points out that 'Most tools return a score' before saying it adds an explanation for audio, video and images. DuckDuckGoose shows detection flagging 'a fake selfie, document, or voice clone inside a live identity verification flow', Attestiv aims to 'Validate claim and underwriting photos, documents, audio, and video', and Reality Defender's page says Gartner named it a Market Shaper in deepfake detection, which is the page's own claim.
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Truepic is the odd one out. It 'authenticates photos and videos at capture', so it proves footage is real when it's filmed rather than guessing about it later. That's the split a reader wouldn't guess: most of these judge a file after the fact, many are built for insurers, banks and platforms rather than individuals, and one works at the moment of capture.
What a deepfake score can and can't tell you
A detector looks for traces that generators leave in pixels, motion and sound. Compression, re-uploads, screen recordings and heavy editing can hide those traces or create false ones, which is why a clip shared five times on social media is harder to judge than the original file. A score is a signal to investigate, not proof either way.
So check the context too. Where did the clip first appear, who posted it, does the same event show up from other angles, and do the voice, lighting and shadows hold together? If you're new to the subject, my explainer on what a deepfake is covers the basics.
Which type of video checker fits your situation
- A one-off clip. If you've got one video you're unsure about, an upload checker with a free demo is the place to start. Keep the original file if you can, because re-shared copies lose detail.
- A platform with lots of uploads. Moderation teams need an API that checks images, video and audio at scale and returns results their own systems can act on.
- Claims and identity checks. Insurers, lenders and banks face fake selfies, documents and claim videos. Tools built for those flows sit inside the verification step rather than on a separate website.
- Evidence you'll need to defend. If you need to show a video is real later, capturing it with authenticated time, date, device and location data beats arguing about a detector score afterwards.
- Clip length and file types. Some tools only analyse part of a video, so check the limits before you rely on a result for a long recording.
Do you make an AI video detector? Tool makers can ask to be considered for a featured place on this list.
My advice before you trust any video
Match the tool to the job before you compare anything else. One suspicious clip needs an upload checker and some common sense about where it came from. A platform or a claims team needs an API that fits the systems it already runs. And if you're the one recording footage that matters, prove it at capture so nobody has to guess later. Whatever you use, treat the result as one piece of evidence among several.
If you make AI video yourself, my list of free AI video generators with no watermark shows the other side of the coin.
Want your tool on this list? Featured spots and reviews here are paid partnerships. Here's how to partner with me.
Frequently asked questions
Can an AI video detector prove a video is fake?
No. Detectors give a likelihood based on traces left by generators, and compression or editing can hide those traces. Use a result alongside the clip's source and context, never on its own.
Are there free AI video detectors?
Some tools on this list offer a free demo or a free way to start on their own pages, as of Nov 2026. Limits change often, so check the vendor's site before you rely on one.
What's the difference between deepfake detection and content authentication?
Detection judges a file after it exists and estimates whether it's synthetic. Authentication records proof such as time, date, device and location when the photo or video is captured, so there's less to guess about later.
Do video detectors check the audio as well?
Several do. Some tools on this list analyse visuals, audio and images together, and one reports how much of a file contains AI-generated content across both.
Who uses AI video detectors?
Newsrooms, social platforms, insurers, banks, identity verification teams and security teams all use them, alongside individuals checking a clip they've been sent. Many of the tools here are built for organisations rather than one-off checks.
Why does a re-shared video get a different result?
Each time a clip is compressed, cropped or screen recorded it loses detail, and that can hide or blur the traces detectors look for. Check the earliest copy you can find.
