Quetext review

Quetext pairs a plagiarism checker built on its own “DeepSearch” technology with an AI Detector that draws from the same monthly word pool, plus an AI Humanizer and Summarizer bundled into both paid plans. It’s one of the most consistently rated detectors in this guide, scoring in the 4.6-4.8 range on every platform we checked, Trustpilot, G2, Capterra and the Chrome Web Store, as of October 2026. Essential starts at $14.99/mo for a shared 100,000-word pool, higher than every other metered detector’s cheapest confirmed rate in this guide except Winston AI’s $18.00 list price and Sapling’s $25/mo month-to-month fee, and the independent evidence behind its AI Detector’s accuracy is thinner than the review scores might suggest.

What Quetext is for

Quetext’s core product, dating back to 2015, is a plagiarism checker running proprietary “DeepSearch” technology against what the company describes as billions of indexed web sources. The newer AI Detector sits in the same dashboard and draws on the same word pool, built to flag ChatGPT, GPT-5, Claude, Gemini, Llama and Mistral output using sentence-level scoring based on word predictability, sentence rhythm and structural repetition; Quetext doesn’t name a specific model architecture behind that scoring. Essential and Professional also bundle an AI Humanizer and an AI Summarizer; this review covers only the Plagiarism Checker and AI Detector and doesn’t evaluate the Humanizer. Browser extensions for Chrome, Firefox and Edge let a user highlight text inside Google Docs and scan it without copying and pasting, extension-based access rather than a native Docs add-on, and a Quetext MCP connector extends the same detection to AI-assistant tool use. The AI-detector product page lists 25 supported languages, though a separate marketing page elsewhere on the site says 16, an inconsistency we couldn’t resolve.

What you get on each plan

Checking 100,000 words on Essential costs $14.99, since the AI Detector can draw on the full shared pool rather than splitting it with the Plagiarism Checker. That’s higher than Originality.ai’s $6.48-$7.48 per 100,000 words and most other metered detectors in this guide, though Winston AI’s un-discounted list price ($18.00) and Sapling’s $25/mo month-to-month fee run higher still. Quetext doesn’t publish a per-word overage rate; the pricing page only says users can “purchase additional words” or upgrade tiers.

Accuracy evidence: thin on both sides

Quetext’s own site makes no quantified accuracy or false-positive claim for its AI Detector, a more restrained choice than competitors that lead with a 97% or 99% headline number. That restraint doesn’t mean the evidence is settled, just that there’s less marketing noise to wade through. The only independent test found is CyberNews’ nine-sample run (three human, three fully AI-generated, three AI-with-light-edits), which measured 65% overall accuracy and reported the detector “struggled with mixed content,” in one case scoring a mostly-human passage 99.9% AI. A second, two-sample test on Medium scored Quetext’s AI Detector 0% on a human sample and 49% on an AI-rewritten version of the same text, close to a coin toss; the author discloses an affiliate relationship with Quetext, so read it as independent but monetized, and too small a sample to generalize from either way. A separate 18% false-positive figure circulates in secondary coverage, attributed to “TwainGPT,” itself a competing AI-humanizer brand; that’s a competitor-sourced claim, not a neutral test, flagged here rather than reported as fact. No independent, large-sample false-positive study for Quetext exists as of October 2026. Combined with the broader category finding that detectors misflag non-native English writing at a 61.3% average rate (Stanford/Liang TOEFL study), that gap means a single Quetext score shouldn’t be the only evidence behind a decision.

What users say in reviews

Quetext is one of just two detectors in this comparison with a positive score on every platform we checked, and the tighter of the two: Trustpilot rates it 4.6 out of 5 from 154 reviews (though only 6 of those are from the last 12 months), G2 rates it 4.7 out of 5 from 13 reviews, Capterra rates it 4.6 out of 5 from 10 reviews (4.9 for ease of use, 4.8 for customer service), and its Chrome extension sits at 4.8 out of 5 from 16 ratings and roughly 8,000 users. That’s a stronger, more consistent spread than most of this category, but the small, mostly negative minority tells its own story. Trustpilot’s one- and two-star reviews repeat a billing and cancellation theme: one reviewer describes the cancellation process as impossible to complete, another reports being charged twice within one week, and a third describes being told a document scored 22% AI but never receiving the report, requiring three separate runs of the same text. A smaller complaint thread describes unused word credits expiring if the account goes unused for a stretch, a metering-model complaint rather than a reliability one.

Who should skip it

Quetext is a weak fit for anyone who wants a confirmed annual price before committing; the “40% off” discount is advertised, but the actual dollar figure isn’t shown on the live pricing page, and secondary sources disagree on what it works out to. Anyone running heavy plagiarism and AI-detection volume in the same month should also budget carefully, since both features draw from one shared word pool rather than separate allowances. A team that wants a wider published language count on the AI-detection side, or a Canvas LMS integration confirmed as live rather than conflicting across the vendor’s own marketing pages, should compare Copyleaks instead. Anyone who needs to check images and documents as well as text should read TruthScan, though its own independent accuracy evidence carries its own caveats. See the full comparison, including GPTZero and Winston AI, in Best AI Detectors.