AI detection is most useful when the breakdown explains the score.
TurnitPass treats detection as a revision workflow. The scanner gives a score, then keeps the signals visible so writers can decide what to rewrite, what to leave alone, and when document parsing may have affected the result.
What we found
Signal map
What the scan reviews
Predictable sentence rhythm
Flags passages where sentence length, cadence, and clause structure feel too uniform across the draft.
Formulaic transitions
Looks for overly common connector phrases and paragraph moves that often appear in generated academic prose.
Repetitive vocabulary
Reviews repeated terms, safe phrasing, and low lexical variation that can make a text feel machine-smoothed.
Document parsing warnings
Keeps source type and extraction warnings visible so scores are interpreted in context, especially with PDFs.
Built around the detector environments writers actually worry about.
Turnitin-style review
Academic workflows where the main concern is whether an essay, report, or source-heavy draft reads too generated.
GPTZero and Originality.ai
Sentence-level signal checks for predictable rhythm, repeated structure, and low variation before publishing or submitting.
QuillBot, ZeroGPT, Sapling
Quick checks for drafts already edited with other paraphrase or grammar tools.
CNKI and Wanfang-style context
Chinese-language drafting workflows where Simplified and Traditional Chinese need their own length and signal handling.
Do something useful after the scan.
A detector score by itself is not enough. TurnitPass keeps the next step close: rewrite the exact passages that look too uniform, preserve sources, and check the revised draft again.
Scan the actual draft
Paste the text or upload DOCX, PDF, TXT, or Markdown. Do not judge from an abstract or a short excerpt only.
Read the breakdown
Use the score together with signal rows, language metadata, source kind, and parsing warnings.
Rewrite the risky passages
Move high-risk sections into the humanizer or rewriter, then compare the rewritten output against the original meaning.
Check once more
Run the revised draft again after citation cleanup and document formatting so the final version is the one being reviewed.
Upload files without hiding parser context.
DOCX, PDF, TXT, and Markdown imports keep the source type visible. If extraction produces warnings, the detector shows them next to the scan so the result is not separated from the document quality.
Import queue