DeAIze Review: What the Detector Actually Reports

Key takeaways

• DeAIze is two halves: an AI detector and an AI humanizer, both sentence-level.
• The detector gives a whole-document score and a per-sentence AI probability, so you can see which lines carry the signal.
• A score is a model reading, not proof of authorship. No detector output proves who wrote a text.
• Our own measurement on 2026-10-04: 1504 reference passages averaged 27% AI score; 12 unedited model passages averaged 52%.
• Scores are not interchangeable between instruments. A model score, a share of qualifying prose and a similarity percentage measure different things.
• The humanizer suggests revised wording for your own draft. Check it against the original before you use it.

If you searched for a deaize review, you probably want one thing: does this tool tell you something true about your draft, or does it just hand you a number? Short answer: DeAIze is a web app with an AI detector and an AI humanizer. Detection works at sentence level, so you get a document score plus a per-sentence AI probability. Neither output proves authorship.

What does DeAIze actually report?

The most common misunderstanding about any detector is that the percentage is a probability that AI wrote your text. It is not. DeAIze reports a model score: a number produced by our own ensemble reading of the text. It is a signal, and it varies with length, language and phrasing.

The part that matters for editing is the layout. Instead of one figure for the whole document, the detector highlights each sentence by AI probability. That turns the output from a verdict into a map. You can see that your introduction reads flat while your methods section is fine, or that one transition sentence carries most of the signal.

That is how we describe it internally, and it is how you should use it: not as a gate you pass or fail, but as a pointer to lines worth rewriting in your own words.

Why a single score is the wrong thing to stare at

Two texts can land on the same document score for completely different reasons. One has three stiff sentences in a row. The other has a uniform rhythm across every paragraph. The number looks identical. The fix does not.

Sentence-level highlighting separates those cases. If the signal clusters in two or three lines, you have a local editing job. If it is spread evenly, the problem is structural: your paragraphs are all the same length, your transitions all do the same work, and nothing in the draft sounds like a person deciding what to say next.

That distinction changes what you do next, which is why it is the first thing to look at.

If you want to see how this plays out on your own writing, run a passage through the AI detector and read the sentence highlights before you read the total. The per-line view is where the useful information sits.

What our own measurement shows

On 2026-10-04 we scored two corpora with the DeAIze detector (local ensemble, lite tier) at a 30% flag threshold.

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

At or above the 30% threshold: 487 of 1504 reference passages. Read that carefully. These are passage counts, not counts of independent documents, and they are not a verified human false-positive rate. Passages from the same guide are not independent samples, and eligible tail passages can be shorter than the 140-word target.

What the figures do support: unedited model output sat well above our reference material on average, and the two distributions overlap. Overlap is the honest headline. Some reference passages scored high. One unedited model passage scored 11%. A threshold is a policy choice, not a fact about authorship.

We also counted AI-tell frequency: 1 per 100 words in the reference sample versus 1 per 100 words in the unedited model output. On that particular tell count, the two corpora looked the same, which is a useful reminder that surface habits are not a reliable authorship test on their own.

How does DeAIze compare with other detectors?

The tool you already have open matters more than any ranking. If your university runs Turnitin, a DeAIze reading does not replace that report, and we do not provide a Turnitin score estimator or an official Turnitin readout. If your editor uses Originality.ai or Copyleaks, their output is theirs.

What differs between tools is mostly what they show you.

Tool type	Typical output	What it is good for
Document-level detector	One score per file	Quick triage across many files
Sentence-level detector	Score plus per-sentence highlights	Deciding which lines to rewrite
Similarity checker	Percentage of matched text	Finding uncredited sources
Grammar or style editor	Suggestions per sentence	Clarity, not authorship

A similarity percentage is not an AI score, and an AI score is not a similarity percentage. If a report mixes them, treat each figure on its own terms. For a broader look at how these outputs diverge, see AI detector comparison.

Does DeAIze work on non-English text?

Detection and rewriting cover English and 9 other languages, and the interface ships in 10 languages. English is the strongest case. The further you get from English, the more careful you should be about reading a score as meaningful, especially on short passages.

Non-native English writers have a specific reason to be cautious here. Careful, uniform, slightly formal prose is exactly what many detectors associate with machine output. If your writing is clean and consistent because you learned it from style guides, a high reading is not evidence that you used a model. There is a longer treatment of that pattern in why an AI detector flags non native English writers.

What the humanizer does, and what it does not

The humanizer suggests revised wording for your own draft. That is the whole claim, and it is worth stating plainly because the category is full of bigger promises.

What it does not do: it does not guarantee any particular score on DeAIze or on another detector, and it is not a tool for passing off someone else’s work. If the ideas, data and conclusions are not yours, rewriting the prose does not fix that.

Use it like this:

1. Run your draft through the detector and note which sentences carry the signal.
2. Ask the humanizer for revised wording on those lines.
3. Compare the suggestion with your original, sentence by sentence.
4. Verify claims, quantities, citations, negations and qualifiers against your source.
5. Accept only the edits that preserve your meaning, then read the passage aloud.

Semantic similarity between the original and the revision is a review aid, not proof that every meaning survived. A revision can be close in overall meaning and still have flipped a negation or dropped a hedge word like “usually” or “in most cases.” Those are the errors that cost you in a review, not the ones that a similarity figure catches.

The objection worth taking seriously

Here is the fair criticism of any detector, ours included: if the same text can be scored twice and land differently, or if a careful human writer gets flagged, why trust the number at all?

The answer is that you should not trust it as a verdict. Trust it as a directional reading, the way you trust a spell-checker that occasionally flags a name. It is useful when it points at something real and useless when it is treated as a finding of fact.

That is also why we publish our own measurement numbers with their limits attached. A vendor that only shows you a clean demo is not giving you anything to reason with. Our figures come with the sample construction, the date and the caveat that passages from the same document are not independent. For more on how we run and document these tests, see our methodology.

A worked passage

Illustration, not a measurement. Original line, written by a person in a hurry:

“The policy was implemented in order to facilitate the improvement of outcomes across all relevant departments.”

Revised:

“We rolled the policy out to improve results in every department.”

The second version is shorter, uses a real subject, and drops the nominalisation. Nothing about the claim changed. That is the kind of edit the sentence-level view pushes you toward: not synonym-swapping, but cutting the padding that makes prose read as if nobody was deciding anything.

Run the same test on a sentence with a number in it. If your original says a figure was “approximately” something and the revision states it flatly, reject the revision. Meaning preservation beats smoothness every time.

How to evaluate DeAIze before you pay anything

Do not take our word for it, and do not take a review page’s word for it either. Test it on text you already know the origin of.

1. Paste a paragraph you wrote yourself, before any AI assistance, and read the sentence highlights.
2. Paste a paragraph you generated and did not edit.
3. Compare where the signal sits in each.
4. Try a short text, under 100 words, and notice how unstable the reading gets. Short passages carry less signal, and every detector struggles there.
5. Check the current interface for detection limits and the rewrite trial terms.

The rewrite trial gives you 200 words after email confirmation, with no credit card. Detection has separate configurable limits shown in the current interface. The trial is not 1,000 free words and it is not unlimited scanning, so plan what you test with it.

On privacy: text is processed for the current task only, never used for training and never resold. That matters if you are pasting client work or an unpublished manuscript.

Pricing, honestly

Pay-as-you-go credits, no subscription, and credits never expire.

Plan	Price	Words
Starter	$20.99	1,000
Standard	$44.99	3,000
Pro	$99.99	10,000
Max	$199.99	30,000

Uploads accept .txt, .docx and .pdf. Rewriting a Word document preserves fonts, styles and tables, which matters if you are working on a formatted report rather than plain text. See pricing for the current terms.

Ready to see which sentences read machine-made?

Reading a review only gets you so far. The useful step is running your own draft and looking at the sentence-level highlights, because that is where the actionable information is.

Start with the AI detector on a passage you know the origin of. If the flagged lines are yours and the meaning is right, take the suggestions into the draft editor and check them line by line. If you want to see what the limits look like before you spend anything, create an account at register and use the 200-word rewrite trial. When you are ready to buy credits, pricing lists the four plans.

The honest summary: DeAIze gives you a directional reading with per-sentence detail, a humanizer that suggests wording for your own draft, and published measurement figures with their limits attached. It does not prove authorship, and no detector does.