Is DeAIze Legit? How to Check Our Detector Yourself

Is DeAIze legit? You can check that yourself rather than trust a landing page. We publish our own measurement data, we name the limits of detection, and you can test the humanizer on 200 words after email confirmation without a credit card. Below is what we measured, what we do not claim, and how to verify any detector.

Key takeaways

• DeAIze is a web app with an AI detector and an AI humanizer; detection is sentence level, so you see which lines carry signal.
• On 2026-10-04 our own lite-tier detector scored 1504 reference passages at a mean of 27% and a median of 20%.
• The same run scored 12 unedited model passages at a mean of 52% and a median of 49%.
• No detector score proves authorship, ours included. A flag is a reading, not a verdict.
• We do not sell a Turnitin readout or a Turnitin score estimator, and we never claim a pass rate on another tool.
• Test any tool on your own draft before you pay, including ours.

Why does “is deaize legit” get searched at all?

The question usually comes from a specific place. You have a deadline, you ran your draft through a detector, and something came back flagged. Now you are scanning vendor pages at midnight trying to work out which of them is real and which is a scoreboard that always says yes.

That suspicion is reasonable. The AI detection market has a structural problem: the tools that shout loudest about catching AI are often the same tools that produce the most confident-sounding numbers. Detector output is easy to dress up. A percentage looks like a measurement. It may be a model score, a share of qualifying prose, or a similarity figure borrowed from plagiarism checking. Those are three different instruments with three different meanings, and none of them establishes who wrote a document.

So the honest answer to whether DeAIze is legit is not a badge or a testimonial. It is: here is what we measure, here is how we measure it, here is what the numbers cannot tell you, and here is a free way to run your own test.

What we actually measured

We ran our own detector, local ensemble at the lite tier with a 30% flag threshold, on two corpora on 2026-10-04.

Corpus	Passages	Mean AI score	Median	Range
Reference sample from DeAIze guides	1504	27%	20%	1-100%
Unedited model output, fixed prompts	12	52%	49%	11-91%

In the reference sample, 487 of 1504 passages scored at or above the 30% threshold. Read that carefully, because the caveats matter more than the headline. These are passage counts, not counts of independent documents. Passages from the same guide are not independent samples. The reference sample was selected by metadata, meaning we picked guides not marked as generated; we did not independently verify human authorship of every passage. So 487 is not a human false-positive rate, and we will not present it as one.

The second row is small: 12 passages from fixed prompts, unedited. It tells you where unedited model text tends to land in our scoring, nothing more.

One more figure from the same run: AI-tell frequency came out at 1 per 100 words in the reference sample and 1 per 100 words in the unedited model output. We are reporting it because it is what we measured, and it is a useful warning. Tells alone are weak evidence. If your instinct for spotting machine-made prose is a list of banned words, that list will fail you.

If you want to see how a sentence-level score behaves on your own writing before deciding anything, run a passage through the AI detector and look at the highlighted lines rather than the headline number. The per-sentence view is the part that tells you what to edit.

Why a high score is not proof of anything

This is the part most vendor pages skip, and it is the reason people search “is deaize legit” in the first place: they have been burned by a confident number.

Detectors estimate how likely text is to look machine-generated under a particular model. That estimate depends on the model, the tier, the threshold, the length of the passage, and the language. Change any one of those and the number moves. Two tools can look at the same paragraph and disagree completely, and both can be reporting their instrument honestly.

There is also a well-documented asymmetry: writing that is grammatically tidy, low in idiom, and consistent in sentence length tends to score higher, which is why non-native English writers and heavily edited academic prose get flagged. We wrote about that pattern in why an AI detector flags non native English writers, and it is worth reading before you conclude anything about your own draft.

What follows from this is simple. A detector score is a signal you investigate. It is not a finding, not evidence of misconduct, and not something a panel should treat as a verdict on its own. If you are facing an actual accusation rather than a private worry, the sequence is different: preserve the original file, keep your version history, and read what to do when you get a false positive before you respond to anyone.

What we do not claim about DeAIze

A trust page is only worth reading if it lists the claims it refuses to make. Here are ours.

1. We do not claim any accuracy percentage for our detector, and we do not quote accuracy percentages for other detectors either. That number depends on the corpus and the threshold, and a single figure hides both.
2. We do not provide a Turnitin readout, a Turnitin score, or a Turnitin score estimator. If you see a tool promising to predict your Turnitin result, treat that as a marketing claim with nothing behind it.
3. We do not guarantee any particular score on any other detector. Scores move between instruments and between versions of the same instrument.
4. We do not claim our humanizer preserves every meaning. It suggests revised wording for your own draft. You compare it with the original and check claims, quantities, citations, negations and qualifiers yourself. Semantic similarity is a review aid, not proof.
5. We do not present detection as a way to pass off someone else’s work. If the ideas, data and conclusions are not yours, no editing pass fixes that.

How to test DeAIze before you spend anything

This is the part you can act on tonight.

1. Run the rewrite trial. It covers 200 words after email confirmation and needs no credit card. Detection has separate configurable limits shown in the current interface, so check those in the app rather than assuming a number.
2. Pick a passage you wrote yourself, ideally one you can defend line by line. Paste it in and look at the sentence-level highlighting.
3. Note which sentences carry the signal. Usually it is not the whole passage. It is the flat connective tissue, the balanced clause pairs, the summary sentence that says nothing specific.
4. Rewrite those lines yourself first, in your own words, and re-run. You will often fix the reading without any tool assistance, which is the cheapest possible outcome.
5. If you use the humanizer, diff the output against your original. Check every number, name, citation, date and negation. Then decide whether the suggestion sounds like you.
6. Compare against a second instrument. Run the same passage through another detector and notice where they disagree. Disagreement is information, not a tie to be broken.

If you write in a language other than English, test that too. Detection and rewriting cover English and 9 other languages, and the interface ships in 10 languages, but scores behave differently outside English, as we describe in AI detector non English text.

Does DeAIze keep your text?

Text you submit is processed for the current task only. It is not used for training and not resold. That is the whole policy, and it applies to both the detector and the humanizer.

That matters because pasting a draft into a detector is a real disclosure decision. Unpublished research, client work under NDA, a legal memo, a grant application under review: all of these carry obligations that have nothing to do with detection quality. If you are weighing that up, is it safe to paste text into an AI detector walks through the questions to ask any vendor, including us.

What DeAIze costs and what you get

No subscription. Pay-as-you-go credits that never expire.

Plan	Price	Words
Starter	$20.99	1000
Standard	$44.99	3000
Pro	$99.99	10000
Max	$199.99	30000

Uploads accept .txt, .docx and .pdf. Rewriting a Word document preserves fonts, styles and tables, which matters if you are editing a formatted report rather than plain prose. Current pricing lives on the pricing page.

If a plan page is the only thing you read before buying, you are doing it backwards. Run the trial first, look at the sentence highlighting on your own draft, and decide from that.

Worked example: what a flagged passage looks like

Here is an illustration, not a measurement. Take a paragraph like this one, which is typical of a first draft written with heavy model assistance:

Effective communication is essential in professional environments. It enables teams to collaborate efficiently, reduces the likelihood of misunderstanding, and ultimately drives better outcomes for the organisation as a whole.

Nothing in that sentence is false. It is also almost entirely unverifiable and interchangeable. A detector reading it sees even clause length, abstract nouns, and a triadic list closing on a summary phrase. That is the pattern sentence-level highlighting tends to pick out.

A revision that keeps the meaning but adds a real subject:

Our Tuesday status meeting ran long because two people had different numbers for the same project. We now send the figures the night before.

Same point about communication, but now there is a specific event, a specific fix, and uneven sentence length. That is the kind of edit the humanizer is trying to suggest, and it is also the kind of edit you can make yourself once you can see which lines are carrying the signal. If you want the full method rather than one example, rewrite AI text goes through it sentence by sentence.

How to judge any detector, not just this one

Use the same four questions on every tool you are considering, including ours.

1. What exactly does the number measure? A model score, a share of qualifying prose and a similarity percentage are not the same thing and are not interchangeable.
2. Is the output sentence level or document level? A single document number tells you nothing about what to edit. Highlighted sentences do.
3. What does the vendor refuse to claim? A page with no stated limits is a page with something to hide.
4. What happens to your text? Retention, training use and resale are the three things to check in writing.

A tool that answers all four plainly is worth trying. A tool that answers none of them and leads with a percentage is not, no matter how good the percentage looks. Our own method and measurement notes live on the methodology page if you want to audit how we got the figures above.

Ready to see which sentences read machine-made?

You do not have to take our word for any of this. Paste 200 words of your own draft into the AI detector, look at the sentence highlighting, and judge whether the output tells you something useful about your writing. If it does, the draft editor is where you work through the suggested wording and compare it against your original. If you want to know what you would be buying first, the pricing page lists the plans and word counts, and you can create an account and start with the free trial. If it does not tell you anything useful, close the tab. That is a legitimate outcome, and we would rather you find out in 200 words than after a purchase.