Free Fake-Review Checkers Compared: What Each One Actually Covers
Table of contents
- What do free fake-review checkers actually do?
- Revdict vs ReviewMeta vs Fakespot: what does each one check?
- What happened to Fakespot?
- Are there tools that check reviews at platform scale, not one listing at a time?
- What can't any of these tools tell you?
- Which tool should I actually use?
- Frequently asked questions
- Is there a free tool that checks fake reviews on any platform?
- Can I still use Fakespot?
- Do these tools prove a review is fake?
- Is Pasabi something I can use to check one business's reviews?
- Why don't these tools agree with each other when they cover the same review?
No free tool checks fake reviews everywhere, because the well-known ones barely overlap. Revdict reads Google Maps business listings. ReviewMeta reads Amazon products. Fakespot, for years the name people knew, covered Amazon and a few other marketplaces until Mozilla closed it in July 2025.
So the first question is not which checker is best. It is where the review you care about lives.
What do free fake-review checkers actually do?
They all work roughly alike: pull the full public review history of a business or product, run it through pattern rules, return a score or an adjusted rating. The rules vary in detail and converge on four ideas. Reviews arriving faster than the place normally receives them. Accounts with almost no history behind them. The same sentences turning up under different names. Star ratings that contradict the text beside them.
None of them read minds or subpoena payment records. They surface statistics consistent with manipulation, and a person, or a platform's private systems, still decides what happens to any individual review.
Revdict vs ReviewMeta vs Fakespot: what does each one check?
| Tool | Platform(s) covered | Cost | How it works | Status (Aug 2026) |
|---|---|---|---|---|
| Revdict | Google Maps businesses | Free, no signup | Scores 0-100 from review bursts, low-activity accounts, duplicate text, and rating-text mismatches | Active |
| ReviewMeta | Amazon products | Free, no signup | Downloads a product's reviews, reweights or removes suspected unnatural ones, shows an "Adjusted Rating" | Active |
| Fakespot | Formerly Amazon, Walmart, eBay, Best Buy | Was free | Letter-grade (A-F) analysis of a product listing's reviews | Shut down by Mozilla, July 1, 2025 — no successor |
| Pasabi | Enterprise/platform-side, not a public listing lookup | Paid, sold to platforms | Behavioral and network analysis to find fraud rings and fake-account networks across a marketplace's whole review corpus | Active, not a consumer tool |
For a restaurant, a contractor, or a dentist, meaning anything with a Google Maps listing, Revdict is built for that job: paste the link, wait a few minutes, read the score. For an Amazon product, ReviewMeta is the nearest thing still running.
What happened to Fakespot?
The tool that put this category on the map no longer exists. Mozilla, which bought Fakespot in 2023, announced the shutdown in May 2025.1 Firefox's Review Checker, built on the same technology, went dark on June 10, 2025; the extensions, mobile apps, and website followed on July 1.2 Mozilla said the product "didn't fit a model we could sustain," which tracks: free to users, costly to run against Amazon's review volume, with no revenue attached. Through August 2026 nobody has revived it, bought it, or opened the source.
Walmart, eBay, and Best Buy shoppers felt that most. No comparably known free checker has filled the space.
Are there tools that check reviews at platform scale, not one listing at a time?
Yes, and none of them are for shoppers. Pasabi licenses fraud detection to marketplaces and review platforms, hunting coordinated rings, fake-account networks, and counterfeit sellers across an entire corpus rather than one merchant's history. There is nowhere for a consumer to paste a link.3 Research outfits such as The Transparency Company work differently again, publishing periodic studies of large review samples by sector, reporting figures like the share of reviews in an industry that look AI-generated.4
Both tell you how big the problem is. Neither helps when you are standing outside a restaurant deciding whether its 4.8 stars mean anything.
What can't any of these tools tell you?
Every checker, ours included, sees only what the platform shows the public. Whatever the platform knows privately, from login origins to how an account was created and paid for, stays private. A score therefore means this review history carries statistical patterns consistent with manipulation. It does not mean a named review is fake, and it does not mean the owner bought anything. Our scoring explainer sets out that limit in detail, including the cases our own scorer gets wrong.
Denny's Restaurant in Los Angeles shows both halves of that. Our analysis flagged 721 of the 999 reviews it read and scored the location 77/100, inside the Likely Manipulated range. The number establishes that a pattern runs through most of the review history. It says nothing about who wrote any single review, or why.
Which tool should I actually use?
Match the tool to the platform:
- A restaurant, contractor, dentist, or any Google Maps listing? Revdict, which is what it was built for.
- An Amazon product? ReviewMeta, the closest surviving equivalent to old Fakespot.
- A Walmart, eBay, or Best Buy listing? Nothing free covers these since July 2025. You are back to checking by hand: reviewer histories, clustered posting dates, repeated phrasing. The manual field guide walks through those checks, and most of them travel to other platforms unchanged.
- The size of the problem across a whole industry? Sector research, not a per-listing checker.
Frequently asked questions
Is there a free tool that checks fake reviews on any platform?
No single tool covers everything. Revdict handles Google Maps and ReviewMeta handles Amazon; Walmart, eBay, and Best Buy have had no maintained free checker since Fakespot closed in July 2025.
Can I still use Fakespot?
No. Mozilla took down the website, extensions, and apps by July 1, 2025, and nothing has replaced the service since.
Do these tools prove a review is fake?
No. They report patterns across a review history. Confirming a specific review is fraudulent, or that money changed hands, takes evidence none of these tools can see.
Is Pasabi something I can use to check one business's reviews?
No. It is enterprise software licensed by marketplaces to police their own corpus, with no consumer lookup.
Why don't these tools agree with each other when they cover the same review?
They rarely examine the same review at all, given how little the coverage overlaps. Where signals do line up, different weightings and thresholds produce different scores from identical data, which is a reason to treat any one number as an input rather than a verdict.
Checking something on Google Maps? Paste the link here and read the flagged reviews before you decide how much the rating is worth.
Investing in what moves the internet forward, The Mozilla Blog, May 2025. ↩
Mozilla to shut down Pocket in July 2025, Fakespot is closing too, gHacks Tech News. ↩
Fake Review Detection, Pasabi. ↩
The Transparency Company Releases New Analysis on Fake Online Reviews and Consumer Trust, The Transparency Company. ↩
References
- ReviewMeta.com — Amazon Review Checker — ReviewMeta (2026)
- Investing in what moves the internet forward — The Mozilla Blog (2025)
- Mozilla to shut down Pocket in July 2025, Fakespot is closing too — gHacks Tech News (2025)
- Fake Review Detection — Pasabi (2026)
- The Transparency Company Releases New Analysis on Fake Online Reviews and Consumer Trust — The Transparency Company (2026)
Tags
About the author
Written by
Andrew Keymaster · Founder, RevdictAndrew Keymaster built and runs Revdict, a free forensic checker for Google Maps reviews. Its scoring model has examined 420,533 public reviews across 443 places as of August 2026, flagging the patterns that show up in manipulated review records — same-day five-star bursts, throwaway reviewer accounts, and near-duplicate wording. He writes here about how those patterns are detected, what platforms will and won't act on, and what the data says about how common fake reviews actually are.