Does my writing sound like AI? How to check
To check if your writing sounds like AI, read it aloud for the usual tells (even sentence lengths, stacked connectors, hedges, stock words like "delve", a neat summary at the end) and then run it through an AI detector. Use the score to find the paragraphs that read flattest, not as a verdict on who wrote it.
A hiring manager reading your cover letter, a teacher reading your essay, a client reading your copy: people now run a quick "did a bot write this?" check on almost everything. It makes sense to run that check yourself before they do. This guide explains what detectors actually measure, why two of them can disagree on the same paragraph, and a five-minute routine for checking your own draft.
What do AI detectors actually measure?
Detectors don't recognise ChatGPT. They measure statistical properties of the text:
- Perplexity: how predictable each next word is. Language models write by picking likely words, so their text is very predictable. People take odd turns.
- Burstiness: how much sentence length and structure vary. People are uneven; models are smooth.
- Style tells: overuse of connectors, hedges and formal vocabulary that models favour. We list the common ones in common AI words to avoid.
So a human-vs-AI percentage is really a predictability score. Formulaic human writing, like corporate memos, legal boilerplate or a rubric-driven essay, can score as AI, and heavily edited AI text can score as human. One well-known approach, DetectGPT, is built on exactly this idea of how "probable" a passage looks to a model (Mitchell et al., arXiv 2301.11305). The score tells you how the text reads, not who typed it.
Why does my own writing get flagged as AI?
Because careful writing is predictable writing. If you were taught to use topic sentences, transition words and a concluding summary, you were taught the same structure chatbots default to. Writers working in a second language get flagged more often, because they tend to choose safer, more common words. A Stanford-led study found popular detectors flagged more than half of a set of non-native English essays as AI-written (Liang et al., arXiv 2304.02819).
If this keeps happening to you, the fix is structural rather than cosmetic. Our guide to make your writing not sound like AI covers the habits that trip detectors. And if you've already been accused over work you wrote yourself, see how to prove you didn't use AI: version history and drafts are far stronger evidence than any score.
Why do two AI detectors disagree on the same text?
Different training data, different thresholds, and different handling of short passages. Under about 100 words, treat any result as a guess. Here's how the common signals compare:
| Signal | What it tells you | How much to trust it |
|---|---|---|
| One detector's overall score | How predictable the whole text looks to that model | Low on its own; varies by tool |
| Which paragraphs score highest | Where the flattest, most formulaic writing is | Useful: this is what to revise |
| Score change after you edit | Whether your revision actually changed the rhythm | Useful for the same tool |
| Reading it aloud | Whether it sounds like a person talking | High, if you're honest with yourself |
| A second detector agreeing | That the pattern isn't one tool's quirk | Medium |
The practical takeaway: don't chase a perfect number on one detector. Aim to move the score, then read the result aloud. If it sounds like a person, it's doing its job.
How do you check your writing in five minutes?
- Read the first and last paragraphs aloud. AI tells cluster at the start ("In today's world…") and the end ("In conclusion…").
- Scan for stock words and connectors. Delve, pivotal, robust, moreover, furthermore, "it's important to note". Circle them.
- Look at sentence length. If three sentences in a row are roughly the same length, break one up or merge two.
- Run a detector. Note which paragraphs score highest, not just the total.
- Revise those paragraphs and check again. Add a specific detail only you know, cut the hedges, and see whether the score moves.
What does writing that sounds like AI look like?
Here's a paragraph most detectors would lean toward AI, and a revision of the same point:
Before: Effective communication plays a crucial role in any team's success. Moreover, it fosters trust and collaboration. By prioritising clear messaging, teams can navigate challenges more effectively. Ultimately, communication is key.
After: Our team stopped missing deadlines the month we started writing one-line status updates every Friday. Nobody loved it. But nobody could claim they didn't know a task was stuck, either.
The first version has four sentences of nearly the same length, two stock connectors, three safe abstract words and a summary that repeats the opening. The second makes one specific claim, varies the rhythm and includes a detail only the writer would know. That difference is most of what readers and detectors pick up on.
How do you check text on iPhone?
- Open BypassGPT, paste your draft, and tap Analyze.
- Read the score as an editor, not a judge. A high AI percentage means the text reads predictable; it doesn't mean a machine wrote it.
- Fix the flattest paragraphs by hand, or tap Humanize and pick a tone, then Analyze again. The before/after change shows whether the edit did anything.
A word on integrity: checking your own writing is always fine. Rewriting AI-generated text is fine where AI help is allowed. It doesn't change the rules for graded work where it isn't, whatever any detector says.
How do you use the score as an editing loop?
The detector is most useful as feedback while you edit: check, fix the biggest tell, check again. The fixes that move the score fastest are the ones in our rewrite patterns guide: sentence rhythm first, connectors second, concrete details third. For the full list of tells and how to fix each, start with how to not sound like AI.
Frequently asked questions
How do I know if my writing sounds like AI?
Read it aloud and look for even sentence lengths, stacked connectors, hedges, stock words like delve or pivotal, and a tidy summary at the end. Then run it through a detector and see which paragraphs score highest.
Why does my own writing get flagged as AI?
Detectors score how predictable text is, not who wrote it. Formal, well-organised writing is predictable, so it can score as AI. Non-native English writers are flagged more often, which researchers have documented.
Why do AI detectors give different results for the same text?
Each uses different training data, thresholds and handling of short texts. Use a score to find passages worth revising, not as a verdict.
Are AI detectors accurate?
Useful as a rough signal, unreliable as proof. They produce false positives and can be fooled by paraphrasing. Texts under about 100 words are especially hard to score.
Is there a free AI checker on iPhone?
Yes. BypassGPT's Analyze score is free with no account. Rewriting comes with 3 free humanizations, then Premium ($2.99/month or $19.99/year in the US).