Repetition
The same phrases and sentence openings recycled within a few paragraphs — the fastest way to make writing feel templated.
De-AI-ify finds the repetitive phrasing, mechanical rhythm and filler that make polished text feel generated — then helps you fix them, one click at a time.
Runs entirely in your browser · Your writing is never uploaded
Furthermore, it is important to note that artificial intelligence — which has rapidly transformed the modern landscape —plays a crucial role in modern research.
Artificial intelligence has changed how people work, write and research. Its impact is hard to overstate.
Mechanical writing is rarely about any single word. It is the pile-up of small repeated patterns. De-AI-ify checks for each of them separately and shows you exactly where they land.
The same phrases and sentence openings recycled within a few paragraphs — the fastest way to make writing feel templated.
Six sentences in a row between 14 and 17 words. Natural prose breathes; generated prose paces.
"Due to the fact that" instead of "because". "In order to" instead of "to". Padding that survives every draft.
One em dash is normal. Ten in a paragraph is a rhythm choice worth reviewing — same for semicolons and colons.
"Plays a crucial role", "in today's world", "studies have shown". Words that gesture at meaning without supplying any.
A typical passage, reviewed. Nothing is rewritten by a language model — every change is a deterministic fix or a suggestion you approve.
This approach provides a clear way to manage projects. This approach provides a simple way to share notes. This approach provides an easy way to track progress. In order to succeed, teams must collaborate. Due to the fact that time is limited, planning matters.
One approach clarifies project management. Sharing notes becomes simple. Progress tracks itself. To succeed, teams must collaborate. Because time is limited, planning matters.
Four steps, all of them local. Your writing never leaves the page.
Paste any text into the editor — an essay, a post, documentation, a report.
Eleven pattern detectors run over your document in a background worker and report what they find.
Deterministic, well-understood fixes — wordiness replacements, never structure — apply in one click. Undo restores your exact text.
Structural findings stay yours to judge. Accept or dismiss each smart fix, then copy the cleaned text out.
De-AI-ify does not identify who wrote a passage. It measures stylistic patterns that can occur in human writing, machine-generated writing, or both.
A heavily edited draft, a strict corporate style guide, or a tired writer reaching for stock phrases can all produce the same patterns that generated text tends to produce. Because of that overlap, no honest tool can look at prose alone and tell you who — or what — wrote it. What a tool can do is show you exactly which patterns make writing feel mechanical, and let you decide what to change.
The analyser is a static page. There is no account, no server-side processing, and no telemetry containing your writing.
No. It detects writing patterns such as repetition, unusually uniform sentence rhythm and templated phrasing. Those patterns can occur in both human and machine-assisted writing.
Only deterministic, well-understood wordiness fixes — "in order to" to "to", "due to the fact that" to "because". Structural findings like repeated openings are never rewritten automatically; they become smart fixes you approve one by one. Every change is undoable, and code, links, quotations and numerical ranges are never touched.
No. De-AI-ify is a writing-quality tool, not an AI-detector bypass service. It cannot and does not make claims about how any external detector will score your text.
No. Text analysis happens locally in your browser, in a background worker thread. Nothing is uploaded, logged or stored remotely.
Unusually repetitive punctuation can affect writing rhythm, so the analyser looks at density and clustering. Individual em dashes are completely normal English and are never flagged on their own.
No language model touches your text. Safe fixes are plain find-and-replace rules with exact offsets; smart fixes are suggestions you accept individually; everything else is left to you with an explanation.