The fake review checker below reads a single review's text and scores the risk signals it finds — repetitive phrasing, superlative density, generic praise with no concrete details, authenticity claims embedded in the text. Paste any review from Amazon, Trustpilot, Google, Shopify, Tripadvisor, or your own store. Nothing is sent anywhere: the analysis runs in your browser, and nothing is stored.
Heuristic signals, not proof. A clean score doesn't guarantee a real review — see below.
This checker evaluates writing patterns only. It cannot see who wrote the review, whether a purchase happened, or whether a platform verified anything. For that you need the verification source — see how to spot fake reviews and the verification spectrum.
How the fake review checker works
The checker scores six writing-pattern signals and credits two opposite ones:
- Generic praise — "great product", "highly recommend", "fast shipping" with no supporting specifics. Template reviews lean on these phrases.
- Superlative density — "amazing", "perfect", "game changer", "best purchase" as a large share of total words.
- Repeated phrasing — the same three-word sequence repeated within one review, a hallmark of spun or templated text.
- No concrete detail — no product specifics, dates, numbers, or first-person purchase language ("I ordered…"). Vague praise is the single most common fake-review pattern.
- Authenticity claims in the text — "100% real", "not a bot", "verified buyer here". Real reviews rarely argue their own authenticity.
- Exclamation density and ALL-CAPS emphasis — classic paid-review over-performance.
It also credits the opposite signals: concrete detail, and balanced tone — a real review usually carries at least a small reservation ("only", "slightly", "but"). A review that only praises and never specifies is the pattern to worry about.
What a text checker can't prove
Writing analysis is a filter, not a verdict. AI-generated fake reviews are now virtually indistinguishable from human writing in blind tests, and a genuinely concise happy customer can look identical to a seeded one. The checker answers "does this text look like typical fake-review writing?" — it cannot answer "did this person actually buy the product?"
That second question is the one that matters, and it has a structural answer: a review can only be certain to come from a real customer when an independent party attests the purchase. Under the FTC's Trade Regulation Rule on Consumer Reviews and Testimonials (16 CFR Part 465), fake reviews carry civil penalties — and the only reviews that make fabrication structurally irrational are transaction-verified ones: every fake attempt costs a real payment-processing fee. See transaction verified reviews for the full mechanics.
Frequently asked questions
How accurate is this fake review checker?
It surfaces the writing patterns most common in fake and template-generated reviews, and it is deliberately conservative: it reports signals with explanations rather than a definitive yes/no. Treat a high score as a reason to look closer — at reviewer history, timing, and the verification source — not as proof the review is fake.
Does this work for Amazon, Trustpilot, Google, or Shopify reviews?
Yes. The checker analyzes pasted text, so it is platform-agnostic: copy the review text from any listing, platform, or email, paste it, and run. It does not read live pages or fetch reviews itself, and it sends nothing to any server.
Can it detect AI-written fake reviews?
Partially. AI-generated review text often trips the generic-praise and no-concrete-detail signals, but modern AI can also write specific, balanced prose that passes a text check. No text-based checker — including commercial ones — reliably detects AI writing, which is why verification at the source (who attests the purchase) is the durable defense.
What's the difference between checking text and verifying a purchase?
Text checking estimates likelihood from writing style. Purchase verification confirms fact from a payment record: an independent processor such as Stripe attests that a real charge occurred between the reviewer and the business. The former is a screen; the latter is proof. Verified vs unverified reviews explains the levels in detail.
Is the fake review checker free?
Yes — completely free, no signup, no data stored. It is a client-side tool: your pasted text never leaves your browser.
Collect reviews that can't be faked →
Related: How to check if reviews are fake (7-point method) · How to spot fake reviews · Fake review statistics 2026