Free tool — no signup needed

100% FreeNo Account RequiredInstant Results

Fake Review Detector

Instantly analyze reviews for signs of fraud, suspicious patterns, and inauthentic language.

Analyze a review

Paste Review to Analyze

Analysis results

Paste a review to check its authenticity

We'll analyze 8 signals and show a detailed verdict.

Detection Process

How Does Fake Review Detector Work?

Paste the Review

Copy and paste any review text into the analyzer. Works with Google, Yelp, Amazon, or any other platform.

Get Instant Analysis

Our detector analyzes 8 different signals of authenticity in real-time, all processed locally in your browser.

Review the Verdict

See a detailed breakdown of each authenticity signal with explanations of what was detected.

Our Analysis

What We Check

Review Length

Extremely short reviews (under 20 characters) are often fake. Authentic reviews typically provide more detail.

Min 20 chars

Capitalization Patterns

Excessive caps (more than 30%) is a common sign of fake reviews and emotional manipulation.

<30% caps

Exclamation Marks

More than 3 exclamation marks often indicates artificial enthusiasm, common in low-quality fake reviews.

≤3 marks

Generic Language

Overused phrases like "best ever" or "highly recommend" are red flags for fake content.

≤1 generic

Word Repetition

Repeated words appearing frequently can indicate automated or template-based fake reviews.

No patterns

Specific Details

Authentic reviews mention specific products, staff names, dates, or experiences. Vague reviews are suspicious.

Details found

Sentiment Balance

All positive or all negative sentiment without nuance is suspicious. Real reviews typically show balance.

Balanced tone

Word Pattern Consistency

Mixing very formal language with slang can indicate the review wasn't written by a single authentic person.

Consistent style

Got Questions?

What Are Common Questions About Fake Review Detector?

Is this tool 100% accurate?

No tool is perfect. Our detector identifies common patterns in fake reviews, but some fake reviews may slip through and some authentic reviews might flag concerns. Use it as one signal among others when evaluating review authenticity.

Is my review data saved or shared?

No. All analysis happens in your browser. We don't send your review text to our servers or store it anywhere. Your data stays completely private.

What should I do if I find a fake review?

If you discover a fake review on Google, Amazon, Yelp, or another platform, report it directly to the platform. Most platforms have clear reporting mechanisms and take action against policy-violating reviews.

Can I use this to check my own business reviews?

Absolutely! Business owners use this tool to identify suspicious reviews about their businesses and can then report them to the review platform for removal.

What's the difference between "Needs Review" and "Likely Fake"?

"Needs Review" (40-70 score) means the review has some suspicious characteristics but isn't definitively fake. "Likely Fake" (0-40 score) means multiple red flags indicate the review is probably inauthentic.

Do you support other languages?

Currently, the detector works best with English text. Some checks (like generic phrase detection) are English-specific, though pattern checks work across languages.

Put your reviews to work

Show Your Reviews
on Your Website

BlooTrue turns reviews from 20+ platforms into animated widgets for any website. 100+ styles, one line of code, unlimited views on every plan.

Create Your Free Widget

Free planNo credit card1-minute setup

Curious what it costs? See BlooTrue pricing · or explore the free review widgets

More Tools

What Other Free Tools Are Available?

Review Sentiment Analyzer

Analyze customer reviews for sentiment and key themes.

Review Maturity Assessment

Assess your review strategy maturity and get recommendations.

Google Review Calculator

Calculate how many reviews you need to reach your target rating.

Google Business Profile Audit

Audit your GBP for completeness and optimization opportunities.

Last updated June 2026