GPU Renderer
Apple M2 Max
1 in 10,000
AmiUnique.io quantifies how identifiable your browser is in a database of 2M+ fingerprints. The Neo-SaaS interface blends transparency, statistical storytelling, and privacy-first messaging so users understand every signal being collected.
0 fingerprints analyzed
Transparency
Glassmorphism + gradient borders signal that every collector is documented and user controllable.
Distribution
Bell curve-first storytelling shows whether your fingerprint hides in the crowd or glows on the edge.
Cleanliness
Spacious typography, Geist Sans + Mono, and a monochrome palette keep focus on the data.
Three-Lock Summary
Gold (Hardware)
Canvas, AudioContext, HDR gamut, motion sensors
Silver (Software)
Fonts hash, Intl stack, UA & Accept headers
Bronze (Network)
ASN, TLS cipher, CF colo, RTT, cf-ray risk
Production Ready
Runs at < 100ms latency worldwide
Modern edge architecture with global distribution.
Identity Distribution
Percentile computed across our database of 2M+ fingerprints in real-time.
Percentile
50.00%
—
Verdict
Close to the crowd average
Combined metrics: Gold (hardware), Silver (software), Bronze (network)
Lie detection ensures spoof resistance.
Hardware
Retina display + ProMotion + color gamut stand out
Software
Font list + Intl overrides create a rare combo
Network
Residential ASN blended with many similar peers
Behavior
Timezone offset mismatch triggered lie detection
Fingerprint focus
Each card surfaces a high-value dimension with its rarity badge so security teams see where to focus mitigation (e.g., reduce installed fonts, normalize screen settings, or rotate network egress).
GPU Renderer
Apple M2 Max
1 in 10,000
Fonts hash
d7a1b90ffc
1 in 714
ASN
AS16509 • Amazon.com
1 in 4
Timezone drift
+00:37 spoof detected
1 in 1,250
UA family
Chrome 130.0 (MacOS 14.5)
1 in 5
Display mode
3024×1964 @ 120Hz (P3)
1 in 2,000
Platform features
Every fingerprint dimension is documented, auditable, and designed to help you understand your digital identity.
Realtime percentile mapping shows whether you are a statistical outlier or hidden inside the crowd.
Every collector is documented with lock associations so auditors know exactly what is stored in D1.
WebGL, Canvas, AudioContext, codecs, permissions and TLS fingerprints combine into the Three-Lock system.
We cross-check timezone, locale, UA, and network metadata to spot automation or deliberate spoofing.
Here's something that might surprise you: Every time you visit a website, your browser leaves behind a unique "fingerprint" - and no, we're not talking about cookies.
Think of it like this: Imagine walking into a room and someone could identify you just by the way you walk, the shoes you wear, the watch on your wrist, and the phone in your pocket. They don't need your name. They don't need your ID. They just... know it's you.
That's browser fingerprinting. Websites can identify you by combining dozens of technical details about your browser and device - your screen resolution, installed fonts, graphics card, timezone, language settings, and about 80+ other signals.
The crazy part? You can't delete it like a cookie. It's not stored on your computer. It's calculated fresh every time you visit a site. And it works even in "private" or "incognito" mode.
We've analyzed millions of browser fingerprints. The research is clear - and honestly, a bit scary:
| Device Type | Uniqueness Rate | Source |
|---|---|---|
| Desktop PC | 35.7% | INRIA Study |
| Mobile Devices | 18.5% | INRIA Study |
| iPhone | 33% | Slido Research |
| All Users (Average) | ~60% | FingerprintJS |
Did you know?
Within just 24 hours, nearly 10% of devices change their fingerprint. But the remaining 90%? They're trackable for weeks or months.
2024 Update
Google announced they will no longer prohibit their advertising customers from fingerprinting users. The UK ICO sharply criticized this move.
Here's the thing - over 70% of internet users say they're concerned about online tracking. But only 43% actually understand how it works. That gap is a problem.
Browser fingerprinting enables:
The good news? Understanding is the first step to protection. That's exactly why we built this tool.
We've developed a "Three-Lock" classification system to help you understand fingerprinting stability:
Canvas rendering, WebGL signatures, audio processing patterns, GPU characteristics. These survive browser reinstalls and even persist across different browsers on the same device.
Installed fonts, browser plugins, language settings, timezone, screen resolution. These change when you update your browser or OS.
IP address, ASN (your internet provider), TLS cipher suites, connection timing. These change when you switch networks or use a VPN.
Look, I'm not going to sugarcoat it - completely avoiding fingerprinting is nearly impossible. But here are practical steps that actually work:
Use Firefox with Enhanced Tracking Protection
Firefox actively resists fingerprinting attempts. Enable "Strict" mode in privacy settings.
Try the Tor Browser for sensitive browsing
Tor standardizes many fingerprint signals, making you blend in with other Tor users.
Keep your browser updated
Updates often include fingerprinting countermeasures. Chrome and Safari are improving too.
Be mindful of browser extensions
Each extension you install can make your fingerprint more unique. Use sparingly.
Consider using multiple browsers
Use different browsers for different activities to compartmentalize your digital identity.
Understand your baseline first
Run our scan to see exactly what makes you unique - knowledge is power.
Browser fingerprinting isn't going away. In fact, as cookies become less reliable for tracking, fingerprinting is becoming more common, not less.
The question isn't whether you have a unique fingerprint - statistically, you probably do. The question is: do you know what it looks like?
We built AmiUnique.io to give you that visibility. No tracking, no data selling - just honest, transparent information about your digital identity. Because you deserve to know.