ReviewLens - Fake Review Detector
Overview
Detect fake reviews on Amazon, Walmart, eBay, and Etsy using AI analysis + Reddit cross-referencing
Detects fake reviews on Amazon, Walmart, eBay & Etsy. AI signals + Reddit cross-check. AāF trust grade. No signup. Works automatically. š WHAT IT DOES ReviewLens automatically analyzes product reviews the moment you land on a listing. No clicking, no copy-pasting URLs. A trust score and letter grade (AāF) appear directly on the page so you can make smarter purchase decisions in seconds. It works on: ā Amazon (US, UK, CA, DE, FR, JP, AU) ā Walmart ā eBay (8 country storefronts) ā Etsy š§ HOW IT CATCHES FAKE REVIEWS Most tools only look at the reviews on the retailer's own page ā which is exactly what fake review sellers game. ReviewLens uses two layers of analysis: LAYER 1 ā On-platform signals (4 detection methods): ⢠Rating Distribution ā Genuine products follow a natural J-curve: lots of 5-stars, some 1-stars, few 2ā3 stars. A wall of 5-stars with almost no critical reviews is a classic manipulation pattern. We flag it. ⢠Review Velocity ā A sudden spike of dozens of reviews in a single week is statistically abnormal. Real products accumulate reviews gradually over time. ⢠Unverified Purchase Ratio ā Reviews from accounts that never bought the product carry little credibility. A high proportion of unverified reviews is a red flag. ⢠Generic Short Reviews ā Incentivized review farms typically produce short, vague, five-word reviews like "Great product! Love it!" with no specific details. We measure this. LAYER 2 ā Reddit cross-referencing (our key differentiator): No other review checker does this. We search Reddit for real discussions about the product ā outside the retailer's controlled environment ā and analyse community sentiment. Fake review operations cannot manipulate Reddit. If a product has 4.8 stars on Amazon but Reddit users consistently describe it as "garbage" or "fell apart after a week," that's a signal you won't get anywhere else. The Reddit search is targeted: we extract the brand name and key product terms, quote the brand for exact matching, and filter out irrelevant posts using a relevance scoring system. Only posts that actually discuss the product affect your sentiment score. š WHAT YOU SEE ⢠AāF Trust Grade with overall score (0ā100) ⢠Review Authenticity score ⢠Reddit Sentiment score ⢠Star rating distribution histogram ⢠Specific flags with severity levels (high / medium / low) ⢠Top Reddit discussions with direct links ⢠Score explanation ledger ā every point for and against, explained in plain language ā” LIGHTWEIGHT & AUTOMATIC Install once. From that point, every product page on Amazon, Walmart, eBay, and Etsy is automatically analyzed in the background. The overlay appears within seconds. You don't need to open the extension or do anything. š” WHY THIS MATTERS Fake reviews cost consumers billions of dollars every year. The FTC estimated that fake and misleading reviews influence $791 billion in US e-commerce spending annually. Review manipulation is widespread, sophisticated, and actively undermining your ability to make informed purchases. ReviewLens gives you a second opinion that sellers cannot fake.
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Details
- Version1.4.0
- UpdatedMarch 6, 2026
- Offered byKuldip2916
- Size1.49MiB
- LanguagesEnglish
- DeveloperKULDIP D PATEL
342/173 City Rd Southbank, VIC 3006 AUEmail
kuldip2916@gmail.comPhone
+61 449 766 520 - TraderThis developer has identified itself as a trader per the definition from the European Union and committed to only offer products or services that comply with EU laws.
Privacy
ReviewLens - Fake Review Detector has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.
ReviewLens - Fake Review Detector handles the following:
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes