ReviewLens — Fake Review Detector for Amazon, Walmart, eBay & Etsy icon

ReviewLens — Fake Review Detector for Amazon, Walmart, eBay & Etsy

by Kavyn Ventures Pty Ltd · reviewlense.com · Shopping
Established publisherManifest V3 Free
View in Chrome Web Store Data as of 15 Oct 2026

Spot fake reviews on Amazon, Walmart, eBay & Etsy. Authenticity score from review patterns + real Reddit sentiment. Free.

Users
556
+192 in 30 days
Rating
5.0 / 5
unchanged in 30 days
Ratings
4
0 in 30 days
Store rank
#41K
#35K among extensions
Version
1.7.5
updated 11 Jun 2026

Users

monthly, 8 months
0278556Mar 2026Jul 2026Oct 2026
Latest, 15 Oct 2026: 556 usersMove the mouse over the chart for any month

Ratings count

monthly, 8 months
024Mar 2026Jul 2026Oct 2026
Latest, 15 Oct 2026: 4 ratingsMove the mouse over the chart for any month

The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.

About ReviewLens — Fake Review Detector for Amazon, Walmart, eBay & Etsy

ReviewLens is a free fake review detector and review checker for Amazon, Walmart, eBay, and Etsy. It automatically analyzes product reviews the moment you open a listing - no clicking, no sign-up, no copy-pasting URLs. You get an A-F trust grade and authenticity score directly on the page so you can spot fake reviews before you buy. If you're looking for a Fakespot alternative or ReviewMeta replacement, ReviewLens is the only extension that covers all four platforms and cross-references Reddit. WHAT IT DOES ReviewLens runs automatically on every product page. A trust score (0–100) and letter grade (A–F) appear within seconds. You never need to open the extension or remember to activate it. Supported platforms: - Amazon (US, UK, CA, DE, FR, JP, AU) - Walmart - eBay (8 country storefronts) - Etsy HOW IT CATCHES FAKE REVIEWS Most review checkers only analyze reviews on the retailer's own page - which is exactly what fake review sellers manipulate. ReviewLens uses two layers of detection: LAYER 1 - 7 On-Platform Detection Signals: Rating Distribution - Genuine products follow a natural pattern. A wall of 5-star reviews with almost no critical ratings is a classic manipulation sign. Review Burst Detection - A sudden spike of dozens of reviews in one week is statistically abnormal. Real products accumulate reviews gradually. Verified Purchase Ratio - Reviews from accounts that never bought the product carry little credibility. A high proportion of unverified reviews is a red flag. Text Quality Analysis - Review farms produce short, vague reviews like "Great product! Love it!" with no specifics. ReviewLens measures this. Sentiment-Rating Mismatch - If the review text says "terrible, broke after two days" but the rating is 5 stars, something is wrong. We catch that. Duplicate Review Detection - Copy-paste reviews or near-identical wording across multiple reviews signals coordinated manipulation. Temporal Decay - Recent review patterns carry more weight than old ones, so the score always reflects current product quality. These signals compound. A product that triggers multiple flags gets penalized harder than the sum of individual issues - because stacking red flags is how real manipulation works. LAYER 2 - Reddit Cross-Referencing (No Other Extension Does This): ReviewLens searches Reddit for real discussions about the product - outside the retailer's controlled review system. Fake review operations cannot manipulate Reddit threads. If a product has 4.8 stars on Amazon but Reddit users consistently call it "garbage" or "fell apart after a week," that mismatch is a signal no other review checker can give you. The Reddit search is precise: we extract the brand name and product terms, use exact matching, filter out irrelevant posts with relevance scoring, block 60+ spam subreddits, and weight recent discussions higher. Only posts that genuinely discuss the product affect your sentiment score. WHAT YOU SEE - A–F Trust Grade with overall score (0–100) - Review Authenticity score - Reddit Sentiment score with top discussions and direct links - Star rating distribution chart - Specific flags with severity levels (high / medium / low) - Confidence indicator based on review volume - Score explanation - every point for and against, in plain language LIGHTWEIGHT AND PRIVATE Install once and forget it. Every product page is analyzed automatically in the background. No account needed. No data leaves your browser - all analysis runs locally using chrome.storage.local. Zero tracking, zero ads. WHY REVIEWLENS Fake reviews influence $791 billion in US e-commerce spending annually (FTC estimate). Fakespot shut down in 2025. ReviewMeta is gone. Most remaining tools only cover Amazon. ReviewLens is the only free review checker that works across Amazon, Walmart, eBay, and Etsy with Reddit-powered cross-referencing. It gives you a second opinion that sellers cannot fake. Works as a fake review detector, review analyzer, Amazon review checker, Walmart review checker, eBay review checker, Etsy review checker, product trust score tool, and Fakespot alternative.

Growth

WindowUsersChangeRatingsRating
7 days+30+5.7%00.00
30 days+192+52.7%00.00
6 months+520+1444.4%00.00

Chrome Web Store search rankings

Where ReviewLens — Fake Review Detector for Amazon, Walmart, eBay & Etsy appears when people search the store, with the 30 day change
Search phrasePosition30 days
review#38+58
review#45+51
walmart#79−2

Version history

6 versions recorded
1.7.511 Jun 2026
1.7.36 Jun 2026
1.7.019 Apr 2026
1.5.026 Mar 2026
1.4.06 Mar 2026
1.3.02 Mar 2026

Details

Category
Shopping
First seen
2 Mar 2026
Size
122 KB
Languages
en
Pricing
Free
Privacy policy
kuldip2916.github.io
Support
reviewlense.com
Extension ID
ncneomnblmiefoplgpcpkjijkhpafkei

Permissions and risk

Elevated riskimpact 4, likelihood 2
Permissions
activeTabstoragescripting
Site access
https://www.amazon.com/*https://www.amazon.co.uk/*https://www.amazon.ca/*https://www.amazon.de/*https://www.amazon.fr/*https://www.amazon.co.jp/*https://www.amazon.in/*https://www.amazon.com.au/*https://www.walmart.com/*https://www.ebay.com/*and 10 more

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