Scan before you submit to Turnitin
See which sentences would get flagged by Turnitin before you submit. Fix false positives with targeted rewrite suggestions.
About Turnitin's AI Detection
Turnitin's AI writing detector analyzes student submissions for patterns associated with machine-generated text. It scores text on a 0–100% scale, where anything above the threshold gets flagged for instructor review. The detector looks at sentence-level features like uniformity, vocabulary predictability, and structural regularity.
False positives are a real problem. Students who write in formal or academic styles, or non-native English speakers who rely on structured phrasing, regularly get flagged by Turnitin despite writing everything themselves.
GPTypo scans your writing for the same kinds of patterns before you submit. You can see exactly which sentences would raise flags, get rewrite suggestions for the risky ones, and rescan to confirm your edits pass. It’s a way to check your work, not rewrite it.
What Turnitin looks for
These are the types of signals that Turnitin's classifier measures. GPTypo checks for the same patterns.
Sentence uniformity
AI text tends to produce sentences of similar length and rhythm. High variance is a signal of human writing.
Low perplexity
Predictable word choices with few surprises. Human writers are messier and less statistically smooth.
AI vocabulary
Overuse of phrases like "furthermore," "it is important to note," and "multifaceted" that appear far more often in AI output.
Structural repetition
Repeated paragraph openers, parallel sentence structures, and formulaic transitions between ideas.
Missing texture
Human writing has contractions, hedging, asides, and first-person markers. AI text tends to be uniformly polished.
Document coherence
AI text often has a narrow vocabulary range and smooth sentence-to-sentence flow that reads as artificially consistent.