My Browser Fingerprint

About Browser Fingerprint Tool

A browser fingerprint diagnostic tool for developers

This tool comprehensively collects trackable browser attributes including Canvas rendering fingerprints, WebGL GPU fingerprints, AudioContext audio fingerprints, installed font list, screen parameters, browser attributes, hardware information, and network environment. All detection runs locally in your browser. Results are displayed as structured key-value pairs with one-click JSON export. Designed for frontend developers debugging anti-fingerprinting strategies and testing browser uniqueness.


Features

  • Canvas 2D rendering difference detection
  • WebGL GPU model/vendor/renderer info collection
  • Installed font enumeration
  • Screen resolution/color depth/pixel ratio/window size
  • Browser UA/language/timezone/plugins/MIME types attributes
  • CPU cores/memory/touch support hardware info
  • AudioContext audio fingerprint detection
  • IP address and network environment (via public API)
  • Composite SHA-256 fingerprint hash
  • One-click JSON file export
  • Runs entirely in your browser

How to Use

  1. 1Open the page to start automatic detection of all fingerprint attributes
  2. 2Wait for detection to complete — results appear as categorized key-value pairs
  3. 3Click the copy button next to any attribute to copy its value
  4. 4Click the 'Export JSON' button at the bottom to download complete fingerprint data

FAQ

What is a browser fingerprint?
A browser fingerprint is a technique that uniquely identifies users by collecting various browser and device attributes (such as Canvas rendering, WebGL, fonts, screen parameters, etc.). Even without cookies, websites can identify visitors through these attribute combinations.
How is the fingerprint hash calculated?
This tool serializes and sorts all detected fingerprint attributes (excluding timestamp and network info), then computes a SHA-256 hash. The same device and browser should produce the same hash each time.
Is detection data sent to a server?
Canvas, WebGL, AudioContext, fonts, screen, browser, and hardware detection all run locally in your browser. No data is uploaded. Only the IP lookup uses the ipapi.co public API.
Why is my fingerprint hash different from others?
Browser fingerprints are influenced by GPU model, driver version, operating system, installed fonts, screen resolution, browser version, and many other factors — making each fingerprint nearly unique. This is exactly how fingerprint tracking works.
What if some detection results are empty or unavailable?
Some detections (such as WebGL, AudioContext) may be restricted in certain browsers or privacy modes, resulting in empty values. This is normal and itself serves as a fingerprint characteristic.

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