Browser fingerprinting tester
Your browser is like a digital fingerprint — unique enough that websites can recognize you even without cookies. Every detail, from your screen size to your installed fonts, tells a story.
Think of it like this: if your browser were a person walking into a room, websites would notice your height, your accent, your clothes, and even how you walk. Browser fingerprinting does the same thing, but digitally. It combines dozens of tiny details (your screen resolution, timezone, language settings, graphics card, and more) into a unique signature that can follow you across the web.
🔒 Everything runs in your browser; we don't store, send, or log your fingerprint. This page is for education only.
Best for most people. Shows the main fingerprint signals and clear, plain-language tips.
Score not calculated yet. Click “Run test” to analyze this browser.
The higher the percentage, the easier it may be for websites and trackers to recognize this browser across different sites and sessions.
This score is a rough, educational estimate — not a scientific measurement.
We collect only what your browser already shares with every site you visit.
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The user agent string shows your browser, operating system, and sometimes device details. Trackers can use it to separate mobile from desktop users and spot rare setups.
💡 For sensitive browsing, consider privacy browsers that standardize or hide the user agent.
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Your screen resolution and pixel density help describe your device. Uncommon screen sizes can make you stand out.
💡 When privacy is critical, avoid unusual resolutions and don’t always browse full-screen on very large monitors.
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Your timezone and offset reveal your rough geographic region and can link sessions even when you use a VPN.
💡 Use tools like Tor or privacy browsers that can standardize timezone when you need extra protection.
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Your preferred languages show where you might live or work. Unique language combinations can be strong identifiers.
💡 For privacy-sensitive sessions, stick to common language settings instead of very rare combinations.
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The platform string shows which operating system and sometimes which hardware you use.
💡 If you need strong anonymity, consider using a virtual machine or privacy-focused operating system that looks similar to many other users.
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By drawing hidden shapes and text, sites can measure tiny rendering differences between devices and create a high-entropy ID.
💡 Use browsers that block, ask, or randomize canvas fingerprinting for sensitive browsing.
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WebGL can reveal your graphics card and driver stack. Combined with other data, this can make your device more unique.
💡 Privacy tools like Tor or hardened browsers can limit or spoof this information; you can also disable WebGL in strict setups.
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Do Not Track is a browser signal asking sites not to track you. Some sites respect it, but many do not.
💡 Treat DNT as a polite request only. Rely on real privacy protections like content blockers and privacy-focused browsers.
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The number and type of plugins can be highly identifying, especially if you use unusual tools.
💡 Keep plugins and extensions lean, and consider separate browser profiles for work, personal use, and high-privacy tasks.
Browser fingerprinting is a way to recognize your device using many small details: your software, screen, languages, timezone, and more. This tester gives a rough estimate to help you see how these signals add up — it is not a lab-grade or global comparison.
It’s usually not 100% unique, but it can be “unique enough” to be very trackable.
Goal is high uniqueness, not perfection. Fingerprinting combines lots of details (browser version, OS, screen size, fonts, languages, time zone, GPU, etc.). The combination is often rare in the population, but not guaranteed to be truly unique.
Uniqueness is statistical. When people say “your fingerprint is unique,” they really mean “among the users we’ve seen, almost nobody else has this exact combination.” In a big enough crowd, collisions (two people sharing a fingerprint) will always exist.
Stability matters as much as uniqueness. Trackers care that your fingerprint stays similar over days or weeks. Even if it’s not globally unique, if the same pattern keeps showing up, they can link your visits.
Defenses and noise reduce uniqueness. Tor, Brave’s fingerprinting protections, Safari’s anti-tracking, canvas/WebGL blocking, standardized user agents, common resolutions, and similar tools all aim to make many users look alike so you blend into a crowd.
It changes over time. Browser updates, new fonts, a different monitor, changing plugins, or traveling to a new time zone all shift your fingerprint, which can both help and hurt privacy depending on how consistent those changes are.
💡 Bottom line: So: in practice your fingerprint might be very distinctive, but treating it as “100% unique and permanent” is an oversimplification. It’s a high-entropy identifier that works frighteningly well, but it’s still probabilistic and can be blurred with the right tools.
If you want to show others how fingerprinting works, you can copy a short summary — nothing is sent automatically.
Understanding how Incognito mode, VPNs, cookies, and browser fingerprinting fit together makes it easier to choose the right privacy tools.