Frequently Asked Questions
Everything you need to know about Null Fake, our free Amazon fake review checker.
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Pricing & Free Tier
Is Null Fake really free?
Yes, completely free. No trial period, no credit card, no hidden costs, no premium tier. The web tool is 100% free with unlimited usage. Our Chrome extension is also free. Null Fake is open source (MIT license) and will remain free forever.
Are there any usage limits?
No daily limits, no monthly quotas, no throttling. Analyze as many products as you need, whenever you need.
Do I need an account?
No account required. Just paste an Amazon URL and get instant results. No email, no password, no personal information needed.
How do you make money if it's free?
Null Fake is an open-source project built by Shift8 Web to demonstrate AI capabilities and contribute to consumer protection. The tool is free as a service to the community. We don't sell data, show intrusive ads, or have premium tiers.
Accuracy & Reliability
How accurate is Null Fake?
Our AI analysis combines multiple detection methods for high accuracy, but no tool is 100% perfect. Sophisticated fake reviews can occasionally pass undetected, and authentic reviews may rarely be flagged. We provide probability estimates (fake percentage and letter grade) rather than absolute certainties. Use our analysis as one factor in your purchasing decision.
What makes Null Fake reliable?
Our methodology combines:
- Advanced AI language models (OpenAI, DeepSeek, Ollama)
- Natural language processing and sentiment analysis
- Reviewer behavior pattern analysis
- Temporal pattern detection
- Statistical anomaly detection
Learn more on our How It Works page.
Can fake reviews fool Null Fake?
Sophisticated fake review campaigns using varied language, realistic timing, and verified purchases can be harder to detect. However, most fake review operations use patterns and shortcuts that our AI identifies. We continuously update our models as fake review techniques evolve.
What if I disagree with a grade?
Our grades represent statistical likelihood based on multiple factors. If you believe a specific product was misgraded, please contact us with the product URL and explanation. Feedback helps us improve our models. Remember that our analysis is probabilistic, not definitive.
Supported Countries
Which Amazon countries are supported?
Null Fake supports 14+ Amazon country domains:
- North America: United States (amazon.com), Canada (amazon.ca), Mexico (amazon.com.mx)
- Europe: United Kingdom (amazon.co.uk), Germany (amazon.de), France (amazon.fr), Spain (amazon.es), Italy (amazon.it), Netherlands (amazon.nl), Poland (amazon.pl), Sweden (amazon.se), Belgium (amazon.com.be)
- Asia-Pacific: Japan (amazon.co.jp), Australia (amazon.com.au), India (amazon.in), Singapore (amazon.sg)
- Middle East & Latin America: Brazil (amazon.com.br), Turkey (amazon.com.tr), UAE (amazon.ae), Saudi Arabia (amazon.sa), Egypt (amazon.eg)
Does accuracy vary by country?
Our core detection methods work across all countries. However, review writing styles and cultural norms vary, which can create subtle accuracy differences. English-language markets (US, UK, Canada, Australia) have the most training data. International markets are well-supported but may have minor variance in nuanced language detection.
Will you add more countries?
Yes. As Amazon expands to new regions and as we refine our international language models, we'll add support for additional countries. Our architecture is designed for easy expansion.
Privacy & Data Storage
What data do you store?
We store analyzed product information: ASIN (product ID), country code, analysis results, and timestamps. This allows us to provide shareable permanent URLs and avoid re-analyzing the same product repeatedly.
Do you track users?
No. We don't require accounts, so we have no email addresses, passwords, or user profiles. We don't track what products individual users analyze or create behavioral profiles. We use Google Analytics for aggregate traffic statistics (page views, referrers) but no personal identification.
Is my analysis history private?
Yes. Since we don't have accounts, we can't associate analyses with individual users. Each analysis gets a unique shareable URL, but there's no "your history" or "your dashboard" that could leak what you've been researching.
Can I delete my analysis data?
Analysis results are public by design (via shareable URLs) and aren't associated with individual users. If you want a specific analysis removed for a legitimate reason (e.g., it contains sensitive information), contact us with the URL and explanation.
Do you sell data?
Absolutely not. We don't sell, rent, or share any data with third parties. Our open-source code is transparent - you can verify exactly what we do with data on GitHub.
How to Use
How do I analyze a product?
Three easy ways:
- Web Tool: Paste any Amazon product URL into the analyzer on our homepage
- Chrome Extension: Install our free Chrome extension and click the button on any Amazon product page
- Direct URL: Type nullfake.com, paste URL, press enter
What URLs are accepted?
Any Amazon product URL from supported countries. Examples: amazon.com/dp/B0ABCD1234, amazon.co.uk/product/B0ABCD1234. You can also enter just the ASIN (10-character product code like B0ABCD1234).
How long does analysis take?
First-time analysis: 30-90 seconds depending on review count and server load. Previously analyzed products load instantly from our database. We show real-time progress updates during analysis.
Can I re-analyze products?
Yes. We automatically refresh analysis for products that were last analyzed more than 30 days ago. For recently analyzed products, we show the existing results to save time. If you want to force a refresh, contact us.
Can I share results?
Yes. Every analysis gets a permanent shareable URL like nullfake.com/amazon/us/B0ABCD1234. Share it with friends, post it on social media, or reference it in discussions. No account needed to view results.
Technical Questions
Is Null Fake open source?
Yes. MIT licensed and available on GitHub. You can view the code, fork it, modify it, and even host your own instance.
What technology powers Null Fake?
Our stack includes:
- Backend: Laravel (PHP framework)
- AI Models: OpenAI GPT, DeepSeek, Ollama (local LLMs)
- Frontend: Livewire, Tailwind CSS
- Database: MySQL
- Chrome Extension: Vanilla JavaScript
Can I self-host Null Fake?
Yes. The GitHub repository includes installation instructions. You'll need a web server, PHP, MySQL, and API keys for AI services (or use local Ollama). Self-hosting is great for privacy, customization, or running your own analysis service.
Does Null Fake have a mobile app?
Not yet. The web interface works on mobile browsers, but there's no native iOS or Android app. The Chrome extension works on desktop Chrome, Edge, Brave, and other Chromium browsers.
vs Other Tools
How does Null Fake compare to Fakespot?
Key differences:
- Free: Null Fake is completely free with no limits; Fakespot has usage restrictions
- No Account: We don't require sign-up; Fakespot does
- Open Source: Our code is public; Fakespot is proprietary
- International: We support 14+ countries; Fakespot has limited international support
See detailed comparison: Fakespot Alternative
What about ReviewMeta?
ReviewMeta is also free and doesn't require accounts. Main difference: Null Fake uses advanced AI language models for deeper text analysis, while ReviewMeta focuses on statistical patterns. Both approaches have merit. You can use both tools for comprehensive analysis.
Should I use multiple tools?
Yes, cross-referencing is smart. Different tools use different methodologies and may catch different patterns. If multiple tools agree a product has fake reviews, that's a strong signal. If they disagree, dig deeper into the actual reviews yourself.
API & Integration
Does Null Fake have an API?
Not yet. We're considering a public API for developers who want to integrate fake review detection into their own applications. If you're interested, contact us to express interest and share your use case.
Can I bulk-analyze products?
Currently, the web tool analyzes one product at a time. Bulk analysis isn't available yet but may come in the future, possibly as an API feature. For now, use the Chrome extension to quickly analyze multiple products as you browse.
Can I embed Null Fake on my website?
Not currently. We don't offer embeddable widgets. However, you can link to our tool or to specific analysis results. If you want to build something similar, our code is open source and can be forked.