I had used a chatbot once for grammar, panicked, and ran every detector I could find. Each gave a different number. Their report had sentence-level highlights and a confidence column. That's the only one my supervisor accepted.
Find out where a document reads as AI — before your reviewer does.
Original AI-detection report on your draft, page by page. Tuned for academic English. Structured AI-probability output with confidence per flag, delivered to your inbox in under ten minutes.
- 0110 minutes turnaround. Faster than re-reading the chapter you're worried about.
- 02Sentence-level highlighting. Not just a number — the exact sentences flagged, with confidence per flag.
An AI percentage isn't what you think it is. Here's what to actually look at.
A single number on a cover page tells you almost nothing. The report that arrives in your inbox is built to be read in four passes — number, heatmap, confidence, distribution. In that order.
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The cover number is a sentence-share, not authorship
"24% AI" doesn't mean a fourth of your work was generated. It means 24% of sentences read as AI-like to the model. Your sentence cadence — long, even, hedged — can match that pattern even when no tool was used.
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The heatmap matters more than the number
If 24% spreads thinly across the document, it's likely register. If it concentrates in two paragraphs, those two are worth a manual look. Read the highlighted sentences before you panic.
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Confidence is on the right margin
Each flagged sentence has a confidence — high, medium, low. A 30% report made of low-confidence flags is a different conversation than a 12% report made of high-confidence ones.
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Cross-reference confidence with concentration
The cover summary breaks down the score by confidence band and points to where flags concentrate in the document. If high-confidence flags cluster in a couple of paragraphs, those are the ones worth a manual look. If the score is spread thinly at low confidence, your style is the issue — not synthesis. Don't act on the number alone.
Two things make this report defensible — when a free detector won't be.
Every flag carries a confidence rating — not just a single number.
Most AI detectors output a percentage and stop. Ours layers a structured probability view on top of it: each flagged sentence is rated high, medium or low. A passage that looks human-written but pattern-matches as AI is the false-positive that ruins a viva — and the confidence column is what lets you distinguish stylistic register from likely synthetic prose at a glance.
- Sentence-level highlights with confidence ratings — high, medium, low — on every flag.
- So a 30% report made of low-confidence flags reads differently than a 12% report made of high-confidence ones.
- Cover summary explains the score distribution and where flags concentrate, so you act on signal — not on the headline number.
Tuned for academic English. Citations and equations excluded.
Most detectors are tuned on web text — blog posts, marketing copy. Methods chapters, citation-dense paragraphs and equations trip them constantly. Our pipeline excludes references, equations and direct quotes before scoring, the same way a standard similarity report excludes the bibliography. The number you see is the number that matters.
You've read the report. Here's how the rest works.
What happens after upload — step by step.
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Submit
Drop your document, pick the page slab, and submit. The slab price shows instantly — takes a minute.
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Pay for your report
One payment for the AI report at the listed slab price. No quotation wait — report services are priced upfront, so you pay and we begin straight away.
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Report in your inbox
PDF report with cover summary, sentence-level highlights, and a confidence breakdown — sent to the email on file and kept in your My Account section (and the mobile app) to download any time.
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Free consultation
Got a question on a flag? Reply to the report email — a senior editor explains how the score and confidence ratings were composed, at no extra fee.
If your report comes back above your institution's threshold, we'll point you to AI Draft Editing — manual rewriting by 27 PhD editors that improves academic quality and clarity while keeping voice, meaning, and citations intact. The check itself never auto-converts to editing work. That's your call.
What scholars say after the AI report lands.
Wrote my methods chapter myself and got 32% on a free detector. Theirs came back at 6% — the confidence breakdown showed the formal register was the trigger, not synthesis. I needed that sanity check.
For a Springer submission I needed an independent AI report on the side. Twenty-minute turnaround, structured cover summary that the desk editor accepted at face value. Worth the fee.
Submitted at 11 PM, report at 11:14 with sentence-level highlighting. The two flagged paragraphs were exactly the ones I knew were ChatGPT. Used AI Draft Editing the next day.
Free detectors gave me numbers between 4% and 78% on the same document. This was the only report with sentence-level reasoning and a confidence column. The numbers were defensible.
We send batch AI checks for every M.Phil. cohort now. Two PhD desks rejected our cohort in 2024 over AI use — they haven't since we started this. The structured confidence breakdowns are the reason.
FAQ
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This is the single most common situation we see. Academic prose — especially methods chapters and dense citation paragraphs — uses long, even, hedged sentences. That cadence overlaps with how language models write, so detectors flag it. The confidence column on the report is built precisely for this case: if your score is high but the flags are scattered thinly at low confidence across formal-register sentences, the signal is style — not synthesis. If high-confidence flags cluster in two or three paragraphs, those are the ones worth a manual look.
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We deliberately don't name the engine in marketing copy because we tune our reports to academic English with our own pre- and post-processing. The engine is only one input. The structured cover summary, the per-flag confidence ratings, and the citation/equation exclusion are what make the report defensible to a committee — not which black box generated the raw number.
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If your university runs a standard AI detection report on submission day, ours will be visually similar — a cover summary with overall percentage, then page-by-page highlighting with confidence indicators. We use this format because viva committees are used to reading it. If your university uses a different system, the substance (sentence-level flags, exclusions, confidence breakdown) carries over.
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Look at the confidence breakdown first. If most flags are low-confidence and spread across the document, your style is the issue and a rewrite won't help much — submit as-is or change a handful of sentences yourself. If flags concentrate in 2–3 paragraphs at high confidence, those paragraphs need rewriting. You can do that yourself or use our AI Draft Editing service, where PhD editors revise flagged passages for academic quality, clarity, and your own voice. We will not auto-convert your check into editing work; the choice is yours.
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Your document is processed for the report and stored on our servers for 30 days for support purposes, then deleted. It is never used to train detection models, never shared with third parties, and never enters any public index. The report stays in your account for as long as you keep it.
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AI detection in non-English academic prose is currently unreliable across all detectors — the training data simply isn't there. We accept English documents only for AI reports. For Hindi, Tamil, Bangla and other Indian-language manuscripts, our team can advise on alternative checks.
Submit your document. Receive your AI report.
Tuned for academic English. Sentence-level highlights. Confidence rating on every flag. Delivered before you've made tea.
Takes you back to the upload form at the top of this page.