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Browser Fingerprint Checker

Analyze your browser's digital fingerprint. Check canvas, audio, and WebGL unique identifiers to see how trackable you are online.

User Rating 0.0 ★★★★★
Total Usage 0 times
Category Security
Initializing...
UNIQUE FINGERPRINT ID
Calculating...
Uniqueness Score
--%
Estimated Entropy -- bits
🖥️

System & Device

    🎨

    Screen & Graphics

      🌍

      Locale & Time

        🔐

        Advanced (Canvas/Audio)

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          About

          This tool analyzes your Browser Fingerprint, a unique identifier generated by collecting publicly available configurations of your device. Unlike cookies, which can be deleted, a fingerprint is inherent to your hardware and software setup.

          We calculate your trackability using H (Entropy) measured in bits. A higher entropy means your device is more unique and therefore easier to track across the web without your consent. We utilize techniques like Canvas Rendering and Audio Stack Processing to reveal the hidden data your browser broadcasts.

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          Formulas

          The Fingerprint ID (FID) is a cryptographic hash of the collected state vector S:

          FID = SHA256(JSON(S))

          Total Entropy (E) is the sum of information bits from all components c:

          E ≈ n∑i=0 -log2(P(ci))

          S = Vector of browser signals (UA, Screen, etc.)

          P = Probability of collision

          Reference Data

          MetricDescriptionEntropy Impact
          UserAgentBrowser & OS version detailsHigh
          Canvas2D image rendering artifactsVery High
          WebGLGPU Vendor & Renderer infoHigh
          AudioAudio stack processing variationsMedium
          TimezoneLocal offset & format settingsLow

          Frequently Asked Questions

          It is a method of tracking users based on unique device characteristics (screen resolution, installed fonts, GPU model) rather than cookies. Even in Incognito mode, your fingerprint remains largely the same.
          We generate a silent audio signal and run it through your browser's audio processing engine. Differences in hardware and software floating-point calculations produce a unique digital signature.
          It is difficult. Tools like Tor Browser standardize fingerprints to look identical across all users. Randomizing extensions (spoofers) can help, but sometimes make you look "suspiciously unique".
          No. All calculations are performed client-side using JavaScript. The hash is generated in your browser memory and never sent to any server.