QuillBot AI Detector is a free-to-try scanning tool built into QuillBot’s writing suite that estimates the probability a piece of text was generated (or heavily assisted) by a large language model such as ChatGPT, Claude, Gemini, or Llama. It returns an overall percentage score plus sentence-level highlights showing which parts of the text triggered the flag. This guide covers exactly what it measures, what its accuracy claims do and don’t mean, current pricing, and — the part most review pages skip — when a research office should stop relying on it and escalate to an institutional-grade tool instead.
What Is QuillBot’s AI Detector?
QuillBot AI Detector is one module inside QuillBot’s broader paraphrasing and grammar-checking product. Unlike standalone detectors that exist only to flag AI text (GPTZero, Originality.ai, Copyleaks), QuillBot’s detector sits alongside the same company’s AI Humanizer and paraphraser — a pairing worth noting up front, since a tool built by a company that also sells paraphrasing is not the same trust profile as a detector with no commercial incentive tied to the text it’s scoring. That doesn’t make the detector inaccurate; it’s a reason to treat its output as one signal, not a verdict.
The tool accepts pasted or uploaded text, requires a minimum of roughly 80 words to run a scan, and recommends at least 300 words for a more reliable read. It supports 20+ languages. Output is a single 0-100% “likely AI-generated” score with the specific sentences that drove the score highlighted in the result.
How QuillBot AI Detector Scores Text
Like most current AI detectors, QuillBot’s tool works by analyzing statistical patterns in word choice and sentence structure — properties such as low “perplexity” (how predictable each next word is) and low “burstiness” (how uniform sentence length and rhythm are across a passage), both of which tend to be more common in LLM output than in typical human writing. It does not compare your text against a database of known AI outputs, and it cannot verify authorship the way a plagiarism checker verifies text-matching against a corpus. The score is a probability estimate, not a fact about how the text was produced.
This matters for what the tool can and can’t tell you: it can flag text that reads as statistically AI-typical, including text that was written by a human in a plain, formulaic, or non-native-English style. It cannot prove a specific person used a specific AI tool, and it cannot reliably catch text that has been paraphrased, edited by hand after AI drafting, or run through a “humanizing” pass.
Try QuillBot AI Detector free →
QuillBot AI Detector Tool: Features, Free Tier, and Word Limits
As of August 2026, QuillBot’s AI detector tool is split across a free and a paid tier, both accessed through the same quillbot.com interface used for its paraphraser and grammar checker:
- Free tier: limited AI Detector access, up to 1,200 words per scan, a capped number of scans per day, and support for 20+ languages.
- Premium tier (QuillBot lists Premium starting from roughly $8.33/month when billed annually, as of August 2026 — verify current pricing on QuillBot’s own pricing page before purchasing, as subscription pricing changes): full AI Detector access with no word cap and unlimited daily scans, plus the rest of the Premium suite — unlimited paraphrasing across nine modes, a full-length AI Humanizer, longer summarization limits, a 25,000-word/month plagiarism checker, and browser extensions.
For a research office, the practical implication is that the free tier is workable for a one-off spot check on a short excerpt, but any workflow that involves scanning full manuscripts, theses, or a caseload of student submissions will hit the word cap and daily-scan limit quickly and effectively require Premium.
AI Detector QuillBot: Accuracy and Known Limitations
QuillBot’s own marketing states a “99% detection rate, according to independent evaluations from RAID” — that is a vendor-reported figure describing performance on a specific benchmark dataset, not an independently audited real-world false-positive/false-negative rate across the kind of mixed human-AI academic writing a research-integrity office actually reviews. Benchmark performance and field performance on edited, paraphrased, or non-native-English academic text are not the same thing, and no detector vendor — QuillBot included — publishes a real-world accuracy figure that generalizes cleanly across all writing contexts.
QuillBot’s own product page is candid about this: it states plainly that “no AI detector can provide 100% accuracy,” that heavily paraphrased or lightly AI-edited content is harder to detect, and that results should never be relied on alone for consequential decisions. That caveat is worth taking seriously. AI detectors — across vendors, not specific to QuillBot — have produced documented false positives against human-written text, particularly text from non-native English writers or writers with plain, formulaic styles, and false positives have led to real disciplinary disputes at the institutional level. See our related coverage on why a paper gets flagged as AI-detected and what false positives actually mean, and on AI detection accuracy standards for academic-integrity offices.
When QuillBot AI Detector Is the Right Fit — and When to Escalate
QuillBot AI Detector is a reasonable fit for: a student or author running a quick self-check on a draft before submission, a writing center offering a fast advisory scan, or an individual researcher who wants a second opinion on a paragraph that reads suspiciously machine-generated. It’s fast, inexpensive relative to enterprise tools, and bundled with paraphrasing and grammar features many writers already use.
QuillBot AI Detector is not the right tool for: formal academic-integrity investigations, publisher-side manuscript screening, or any decision with disciplinary or reputational consequences for the person being flagged. It was not built as an evidentiary tool — it doesn’t produce the audit trail, institutional reporting integration, or documented accuracy methodology that a formal misconduct process needs to withstand scrutiny or appeal. For that context, an institutional-grade tool with a defined evidentiary standard and reporting workflow — such as Turnitin’s AI writing detection (integrated into most institutions’ existing plagiarism-checking workflow) or a standalone tool like Originality.ai or GPTZero built specifically for integrity-office use — is the better fit. See our independent comparison of AI detectors for research-integrity offices and Turnitin AI detection vs. standalone AI detectors for how those tools differ on evidentiary standards, institutional integration, and reporting.
If you’re evaluating a comparable single-purpose product, our reviews of Paperpal AI Detector and Originality.ai cover the same ground for those tools specifically.
QuillBot AI Detector Pricing (August 2026)
QuillBot’s Premium plan — which unlocks full AI Detector access — is listed at roughly $8.33/month when billed annually, alongside a free plan with limited AI Detector access (1,200-word scans, capped daily uses). QuillBot also offers a Team plan at custom pricing for institutional or multi-seat use. Because subscription pricing and free-tier limits are exactly the kind of detail vendors adjust over time, confirm current pricing directly on QuillBot’s site before budgeting for an institutional rollout.
See QuillBot AI Detector pricing →
Frequently Asked Questions
What is QuillBot AI Detector?
It’s a scanning tool inside QuillBot’s writing suite that returns a 0-100% probability score for how likely a piece of text is to have been generated by an AI language model, along with sentence-level highlights showing which text drove the score.
Is QuillBot AI Detector free?
Yes, with limits: the free tier allows scans of up to 1,200 words with a capped number of daily scans. Full, unlimited AI Detector access requires a Premium subscription.
How accurate is the QuillBot AI detector tool?
QuillBot cites a 99% detection rate on the RAID benchmark, but that’s a vendor-reported figure on one evaluation set, not an audited real-world accuracy rate. QuillBot’s own site acknowledges no AI detector is 100% accurate and that heavily paraphrased or lightly AI-edited text is harder to catch — treat any single detector’s score as a signal to investigate further, not a verdict.
Can QuillBot’s AI detector be wrong about human-written text?
Yes. Like other statistical AI detectors, it can flag plain, formulaic, or non-native-English human writing as AI-generated. This is a documented, industry-wide limitation, not unique to QuillBot — see our guide on why papers get flagged as AI-detected for more on how false positives happen.
Should a university use QuillBot’s AI detector for academic-integrity cases?
We don’t recommend it for that purpose. QuillBot’s detector is built for quick self-checks, not formal misconduct investigations. Institutional cases need a tool with a defined evidentiary standard, audit trail, and reporting workflow — see our comparison of AI detectors built for research-integrity offices.
Does QuillBot’s AI checker work in languages other than English?
Yes, QuillBot’s AI detector supports 20+ languages, which is broader than some competing detectors that are English-only.







