YouTube Inauthentic Content Checker

Will your script get flagged as mass-produced AI slop? Paste it to find out. Free, no signup.

This is an independent heuristic tool and is not affiliated with YouTube. YouTube does not publish their actual detection criteria. Scores are indicative, not guarantees.

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3 free checks per IP per day. Takes 5-15 seconds. No signup.

What is YouTube's inauthentic content policy?

YouTube's inauthentic content policy is part of the YouTube Partner Program monetization rules. The official policy language flags content that is "mass-produced or repetitive... with little to no variation... replicable at scale."

It is a monetization eligibility rule, not a takedown rule. Your videos stay up, but your channel can lose ads, memberships, and Premium revenue. The policy was renamed from "repetitious content" to "inauthentic content" on July 15, 2025.

If you rely on YPP income, this is the rule you need to understand before publishing at volume. The tolerance for templated AI output dropped sharply in the January 2026 enforcement wave.

What changed in July 2025 (and what didn't)

The letter of the policy did not change. TeamYouTube clarified this publicly after the rename. No new restrictions were introduced on July 15, 2025. What shifted was the framing, and the enforcement tolerance.

Three common misconceptions worth killing right now:

  • Reaction videos are still allowed. YouTube confirmed this explicitly. The requirement has always been meaningful commentary, not a ban on the format.
  • AI voiceover is not banned. Creator Liaison Renee Richie said so on record. Risk comes from stacking AI voice with other shortcuts, not from the voice alone.
  • Reused content and inauthentic content are different policies. Reused content governs transformation of someone else's material. Inauthentic content governs mass production of your own. Different rules, different enforcement.

The January 2026 enforcement wave

In January 2026 YouTube ran a coordinated sweep that terminated approximately 16 major channels, representing a combined 4.7 billion views and roughly 35 million subscribers. The numbers have been reported by TechCrunch and XDA Developers.

The targets were overwhelmingly Reddit-narration bots, low-effort compilation farms, and ambient-loop channels running the same 30-second clip for an hour. These were not edge cases. They were high-view channels that had been tolerated for years. The signal to every other faceless channel was impossible to miss: the tolerance window has closed.

We only cite numbers confirmed by published reporting. We do not include unverified creator claims circulated on social media.

How we score your script

Our checker runs 16 signals across three categories. The signals were derived from YouTube's public policy language and the reported profiles of the January 2026 terminations. We are not claiming to replicate YouTube's internal detection systems.

Structural
  • Template reuse. Repeated sentence scaffolds or identical paragraph structures.
  • Hook recycling. Opening lines that match common clickbait templates.
  • Filler density. Percentage of the script that carries no information.
  • List-dump pacing. Long runs of bullet-style beats with no transitions.
  • Outro boilerplate. Stock calls to subscribe with no tie-back to the content.
Linguistic
  • Syntax monotony. Low variance in sentence length and sentence openings.
  • LLM phrase markers. Hedging patterns common in generic AI prose.
  • Stock transitions. Overuse of phrases like "but here is the thing" or "let me explain."
  • Voice flatness. Absence of first-person opinion, anecdote, or judgment.
  • Numeric precision drift. Vague figures where a human would cite a source.
Semantic
  • Topic thinness. Surface coverage of a topic with no argument or angle.
  • Evidence gap. Claims without examples, sources, or reasoning.
  • Editorial absence. No clear point of view, stake, or personal framing.
  • Context collapse. Loss of connection between paragraphs and the premise.
  • Genre mismatch. Tone and structure that fit a farm template, not the topic.
  • Novelty signal. Presence (or absence) of original research or framing.

The asymmetric scoring rule

Heuristic signals cap at 60 out of 100. The remaining 40 points come from a language model that can override the heuristics downward if your script is a documentary, exposé, or satire about the topic it happens to resemble. In plain English: if a heuristic flags you but the context clearly makes the script original work, the model can rescue the score. The model cannot push the score up past what the heuristics allow.

Frequently Asked Questions

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