Media authenticity analysis · synthetic media era

Is This Video Real?

Paste a YouTube URL to read its authenticity indicators, manipulation signals, and AI signal score — from the public record, not a guess.

Free. We read the video's description, creator disclosures, and viewer comments — never a guess about pixels, never a guarantee.

Why this matters ↓

Why this exists

Synthetic media is scaling
faster than trust.

AI-generated video, cloned voices, and deepfakes are now ordinary. The hard part is no longer making them — it is knowing what to believe. People increasingly cannot tell, and they know it.

10×

Deepfake incidents surged tenfold from 2022 to 2023.

The volume of detected deepfakes is no longer a fringe problem. It is a mainstream content category.

Sumsub, 2023

59%

of people worldwide worry about telling real from fake news online.

In the United States that figure rises to 72%. Doubt is now the default posture toward online media.

Reuters Institute, Digital News Report 2024

55.5%

Human accuracy at spotting deepfakes is barely better than a coin flip.

A meta-analysis of 56 studies found training improved detection by less than four points. Eyes alone are not enough.

Computers in Human Behavior Reports, 2024

57%

of U.S. adults feared AI-generated misinformation in the 2024 election.

Synthetic media has moved from novelty to a recognized threat to shared reality.

Pew Research Center, 2024

$25.6M

stolen in a single deepfake video-call scam at one firm.

An employee wired the funds after a meeting with synthetic versions of real colleagues. The cost of misplaced trust is concrete.

CNN Business, 2024

3,700+

organizations now back content-provenance standards.

The Content Authenticity Initiative — joined by OpenAI in 2024 — signals that provenance is becoming infrastructure.

Content Authenticity Initiative, 2024

Trust signals analysis

What we read, and what
we will not claim.

Authenticity is not one signal. It is a pattern. The free analysis reads the signals that are publicly observable in a video's text and audience. The deeper, frame-level read is a human-reviewed evaluation. We never pretend the two are the same.

AI Generation Indicators

Named AI video, voice, and animation generators referenced in the title, description, or tags.

In the free read

Viewer Signals

How many top comments independently flag a clip as AI, fake, deepfake, or manipulated.

In the free read

Metadata Analysis

Creator disclosures, synthetic-content labels, publication context, and provenance limitations.

In the free read

Source Reputation

The channel behind the clip and the context in which it was published and shared.

In the free read

Voice Consistency

Whether a speaker's voice shows signs of cloning, splicing, or synthetic generation.

Deeper analysis

Visual Inconsistencies

Frame-level artifacts, lighting and anatomy anomalies, and tell-tale generation patterns.

Deeper analysis

Editing Anomalies

Cuts, re-timing, and compositing patterns that indicate manipulation rather than capture.

Deeper analysis

Manipulation Likelihood

A synthesized judgment across every signal, reviewed by an analyst — never an automated certainty.

Deeper analysis

AI video news

Notable AI & deepfake cases.

A running record of documented synthetic-media events — the dupes, scams, and authenticity controversies shaping how we watch. Curated and sourced; updated regularly.

The $25.6M deepfake video call

An employee at a global engineering firm joined a video meeting with synthetic versions of the CFO and colleagues, then wired HK$200 million across 15 transfers. One of the clearest demonstrations that seeing is no longer believing.

Corporate fraud · CNN Business →

A 303% surge in election deepfakes

Detected deepfakes targeting U.S. audiences rose sharply ahead of the 2024 election, with far larger jumps in other countries. Synthetic political media is now a standing feature of every campaign cycle.

Elections · Sumsub Research →

Watermarking the machine's output

Google DeepMind extended SynthID watermarking to AI-generated video in 2024, and OpenAI joined the C2PA steering committee. The industry is racing to label synthetic media at the source — but labels are not yet universal.

Provenance · Google DeepMind →

The detection blind spot

Across 56 studies, people identified deepfakes only about 55% of the time — barely above chance — and brief training helped almost not at all. The takeaway is not despair; it is that authenticity needs signals, not vibes.

Veo 3 and the misinformation problem

As Google's Veo raised the ceiling on photoreal AI video, reporting warned how easily convincing fakes could now spread — and how thin the line between demo and disinformation has become.

Generation · TIME →

SynthID, C2PA, and the provenance push

Google expanded SynthID and Content Credentials support, part of an industry move to attach verifiable provenance to media. Useful — but provenance only helps when it survives the platforms that re-encode video.

Provenance · The Verge →

Tracked sources

The archive is curated from established deepfake and authenticity trackers, the way FortClips curates the best clips. These are the feeds we monitor:

Lead Stories: Deepfakes → Deepfakes Tracker → Resemble AI Incident Report → Authenticity Crisis: Incidents →

Media, speaking & press

A voice on media
authenticity.

RealOrAiVideo is built and led by Mike Millett, a trust strategist and founder of Digilu. The platform exists to make one idea practical: in an AI world, authenticity is infrastructure.

Available for podcasts, panels, newsroom briefings, and press commentary on synthetic media, deepfakes, AI-generated video, and the future of media trust.

  • Podcast and interview appearances
  • Keynotes and panels on synthetic media and trust
  • Press commentary and expert background

Every inquiry sent here reaches the team directly.

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In an AI world, authenticity becomes infrastructure.

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