Here’s a wild thought — what if, in 2022, I told you that in 2025, we’re still debating whether AI detection tools actually work? Between students getting falsely accused of cheating and universities scrambling to catch AI-generated content, it feels like we’re stuck in this cycle that nobody asked for.
And right in the middle of this chaos? Undetectable AI and TurnItIn, two platforms that perfectly represent both sides of this coin. One’s trying to humanize AI text, while the other’s trying to catch it. We once answered that, yes, Undetectable AI can bypass TurnItIn.
But is that still true in 2025?
What is Undetectable AI?
Undetectable AI is a student’s main weapon against getting falsely accused of using LLMs. It is an AI humanizer that turns any text into something that’s unrecognizable by AI detection tools. This is possible through careful paraphrasing of the original text, which includes getting rid of common AI markers and adding more perplexity to the input.

When using their AI humanizer, you’re also given the option to customize how you want the output to read like. You can change its readability, purpose, and balance level. For more information and our general thoughts on the humanizer, check out our full review here.
In the past, Undetectable AI only offered three features: their humanizer, AI detection, and the AI human typer. However, they recently updated their platform to also include more tools like the following:

What is TurnItIn?
TurnItIn is an institution in and of itself. For the longest time, it’s the go-to platform of most universities for plagiarism detection. When LLMs first became popular, TurnItIn was one of the first to offer LMS-integrated automated AI detection for schools, using advanced algorithms to analyze writing style and structure to predict AI likelihood.

Is TurnItIn Trustworthy?
Believe it or not — this question is still relevant in 2025, but here’s a quick recap as to why TurnItIn was controversial in years prior.
Several students across the world were caught using AI in their assignments. Teachers and universities were quick to resolve this issue by giving these students punishment — sometimes in the form of extra work, sometimes by suspension. But the thing is, they never cheated. The AI detector these institutions were using was dead wrong.
And that AI detector, more often than not, was TurnItIn.
So, in 2025, can you now trust TurnItIn?
TurnItIn acknowledged this issue and soon released a guideline on how to deal with AI use in classrooms. In that memo, they mentioned that no AI detection tool is perfect, and AI likelihood scores must always be treated with caution.
Credit where credit is due, I haven’t heard of new cases with TurnItIn since last February, when a UNG student was falsely accused of using AI after editing her work with Grammarly. Since then, it’s been radio silent, especially after TurnItIn released a new and improved detection model.
Still, no matter the detection tool, there’s still potential for false positives.
Undetectable AI vs. TurnItIn
Can TurnItIn detect Undetectable AI? Let’s find out.
The Problem
Here’s the thing: we can’t really use TurnItIn. It’s a tool made for academic institutions so there’s almost no way of accessing TurnItIn’s new model for testing, so let’s do the next best thing.
The Solution
If we can’t use TurnItIn, let’s use everything else. I’m going to use three Undetectable AI outputs and check their AI likelihood score against 5 of the most popular AI detection tools today: Sapling, Copyleaks, GPTZero, Content at Scale, and Hive Moderation.
The Testing
Sapling
Undetectable AI vs. Sapling #1: Successfully passes as human!
AI Likelihood Score: 38.8%


Undetectable AI vs. Sapling #2: Successfully passes as human!
AI Likelihood Score: 0.3%


Undetectable AI vs. Sapling #3: Detected as AI-generated
AI Likelihood Score: 100%


Copyleaks
Undetectable AI vs. Copyleaks #1: Successfully passes as human!
AI Likelihood Score: 0%


Undetectable AI vs. Copyleaks #2: Successfully passes as human!
AI Likelihood Score: 0%


Undetectable AI vs. Copyleaks #3: Detected as AI-generated.
AI Likelihood Score: 100%


GPTZero
Undetectable AI vs. GPTZero #1: Detected as AI-generated.
AI Likelihood Score: 100%


Undetectable AI vs. GPTZero #2: Detected as AI-generated.
AI Likelihood Score: 100%


Undetectable AI vs. GPTZero #3: Detected as AI-generated.
AI Likelihood Score: 100%


Content At Scale/BrandWell
Undetectable AI vs. BrandWell #1: Inconclusive.


Undetectable AI vs. BrandWell #2: Passes as human!


Undetectable AI vs. BrandWell #3: Detected as AI-generated.


Hive Moderation
Undetectable AI vs. Hive #1: Successfully passes as human!
AI Likelihood Score: 0%

Undetectable AI vs. Hive #2: Successfully passes as human!
AI Likelihood Score: 0%

Undetectable AI vs. Hive #3: Successfully passes as human!
AI Likelihood Score: 0%

Average Score
You Could — Should You?
With those scores, Undetectable AI could definitely trick TurnItIn, but should you?
Look, I’m firmly in the camp of no-using-AI-to-cheat. Not only is it unfair to your peers, but it’s also cheapening your education. The reason why you’re in a university is to study, not to cheat your way to high grades. That’s also why Undetectable AI themselves have a warning on their tool preventing misuse of their tool.

That said, there’s absolutely nothing preventing you from using AI to actually learn. You can use it as a tutor, a reviewer creator, and even a writing assistant. Just don’t use it to write your essays for you.
The Bottom Line
Here’s what it all comes down to: yes, Undetectable AI can sometimes fool detection tools. But focusing on that is like celebrating because you found a way to cheat on your diet — you might win the battle, but you’re losing the war against yourself.
Instead of asking whether these tools can outsmart each other, maybe we should be asking how we can use AI to become better learners. Because at the end of the day, your education isn’t about beating the system — it’s about beating yesterday’s version of yourself.
The only real way I can recommend Undetectable AI is if you’re worried about false positive AI detection. Otherwise, it’s better to write your own essays, in your own voice.
So, let’s shift the conversation from “Can we?” to “How can we use this responsibly?” That’s the real question worth answering in 2025.