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See which sentences sound machine-made
Paste your text. Every flagged sentence comes with the reason: a stock phrase, a run of same-length sentences, a stacked transition. No made-up percentage.
How it works
Sentence by sentence
Each sentence is checked for the patterns that make writing sound generated, and the reason is written next to it.
A label, not a score
You get Strong AI patterns, Mixed or Reads natural. A percentage would claim a certainty nobody has.
Fair to people
Plain writing and non-native writing can trip the same rules, so the result is an editing guide, not proof of who wrote the text.
An example
Additionally, it saves time for every customer. Furthermore, it makes the process faster for staff. Moreover, it lowers the cost of each call made.
Flagged: three sentences of seven to nine words in a row, each opening with a transition word. Label: Strong AI patterns.
Fix it by varying the length and cutting the transitions, or paste it into the humanizer.
Questions
Is this an AI detector?
Not in the usual sense. It does not guess who wrote the text. It points at patterns readers and editors notice, so you can fix them.
Why no percentage?
Because nobody can measure that reliably. Detectors that print a number disagree with each other and misjudge human writing, especially from non-native writers.
What do I do with a flagged sentence?
Change its length, cut the stock phrase or the transition, or run it through the free humanizer.
Is my text stored?
No. We count runs for the daily limit; the text itself is not kept.