Free Tool

Free Fake Review Checker (Amazon, Google, Trustpilot)

Free fake review checker. Paste any review (Amazon, Google, Trustpilot) and get a fakeness score (0-100). 8 academic signals. Alternative to Fakespot for non-Amazon sites.

5x more reviews

+300k reviews collected

1-click setup

Paste the review text

Fake risk

Likely genuine

The review shows specific details, balanced language, and no red flags commonly found in fake reviews.

How this works: This tool applies 8 heuristic checks adapted from academic fake-review research (Ott et al., 2011 & Fakespot's public patents). It doesn't connect to the review platform — paste text only. Accurate as a first screen, not as legal proof.

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How it Works

Spot fake reviews with 8 academic signals

Tools like Fakespot and ReviewMeta focus on Amazon and rely on metadata (reviewer history, posting patterns, account age) you don't see as a buyer or merchant. This tool takes a different angle: paste any review text from any platform (Amazon, Google Business, Trustpilot, anywhere) and we score it across 8 linguistic and structural signals from academic fake-review research. Useful as a first-pass filter when you can only see the text itself.

Book a Demo

Pick the platform + paste the review

Select Amazon, Google Business, Trustpilot, or Any. Some platforms have specific patterns we weight differently (e.g. "verified purchase" mentions, extortion language).

Click Check

Runs fully client-side in milliseconds. We check 8 signals: review length, generic praise density, exclamation marks, first-person usage, specific details, extreme language, sensory words, and platform-specific patterns.

Read the verdict + per-signal breakdown

You get a fake-risk gauge (0-100), a verdict (Likely genuine → Very likely fake), and each triggered signal explained, so you know why the review looks suspicious, not just that it does.

FAQ

Your questions, answered.

Book a Demo

How can I tell if a review is fake?

Fake reviews share identifiable patterns: generic praise ("great product, highly recommend"), excessive exclamation marks, missing first-person details ("I bought this for"), no specific product features mentioned, extreme language ("perfect", "best ever"), short length, and no sensory descriptions (how it feels, smells, looks). Our tool checks these 8 signals and scores the review 0-100. Above 50 means multiple red flags are present.

Is buying fake reviews illegal?

In the US, yes since August 2024. The FTC's "Rule on Consumer Reviews and Testimonials" makes buying or selling fake reviews a federal violation, with penalties up to $51,744 per fake review. The EU's Digital Services Act has similar provisions. Most platform terms of service (Trustpilot, Google, Amazon) have always banned the practice, but enforcement was weak. As of 2025-2026, several US e-commerce brands have been fined seven figures.

Can AI detect fake reviews reliably?

Partially. Modern AI detection (combining linguistic features, reviewer-graph analysis, and LLM classification) reaches around 90 to 95 percent accuracy on benchmarked datasets. Text-only heuristic tools like this one hit around 75 to 80 percent. The gap is mostly explained by the metadata that text-only tools can't access. Combining both approaches (text + reviewer history + posting patterns) is what production tools like Fakespot do.

How does this compare to Fakespot or ReviewMeta?

Fakespot and ReviewMeta are Amazon-focused, browser extensions that pull live reviewer data from Amazon's API. They give per-product scores and reviewer trust levels. Our tool is platform-agnostic (works on Trustpilot, Google, anywhere reviews are posted) but only scores the text, not the reviewer profile. Use both for thoroughness: Fakespot for Amazon products, this tool for any other platform.