Evidence-first result
Submit reviews to see observed manipulation signals. “Suspicious-pattern share” means reviews participating in at least one flagged pattern; it is not a fake-review percentage.
Fake Review Checker
Check reviews for repeated wording, suspicious timing, rating and text mismatches, and recurring reviewer patterns. Paste the reviews you have collected to see the supporting examples and the limits of the available sample.
A practical guide
How to use the fake review checker
Supply the evidence
Choose a subject and enter one review per line using rating | date | reviewer | verified | text. Supply the review wording and any dates or ratings you know; leave optional details unknown when you cannot verify them.
Read the result
Inspect duplicate or templated wording, rating and text mismatches, timing bursts and repeated reviewers. Results separate observed manipulation risk from confidence, coverage and sample strength.
Check the limits
A suspicious pattern does not prove that a reviewer is fake. The share of reviews matching a pattern is not a verified fake-review percentage, and a small sample may miss important context.
Questions about this tool
Can I check Amazon, Google or Trustpilot reviews?
You can analyze review text you supply from those platforms in the supported input format. This tool does not automatically import every review from a product or business link. Preserve the original wording and dates, and use reviews you are permitted to analyze.
How should I interpret missing evidence?
Missing evidence means the assessment has less support or coverage. It does not establish safety or wrongdoing. Review the sources and dates, and independently verify the gaps that matter to your decision.