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User Agent Parser

Parse user-agent strings into readable device data.

Use the tool

Use User Agent Parser to turn a raw browser or crawler user-agent string into readable device, browser, and operating system context.

Dev Workbench

User Agent Parser

Parse user-agent strings into readable device data.

Input

Result

Run the tool to see output.
Lines: 0Chars: 0

Why use User Agent Parser

  • Debug browser-specific support tickets using a copied user-agent string.
  • Identify browser family, version clues, operating system, engine, and device type.
  • Review crawler, bot, mobile app, and script user agents in logs.
  • Compare analytics, QA reports, and access logs without manually reading long UA strings.

About this tool

User-agent parsing for support and QA

User Agent Parser breaks long UA strings into readable fields so teams can understand the browser, engine, OS, device type, and crawler clues behind a request.

Useful but not authoritative

User-agent strings can be spoofed, frozen, reduced, or incomplete. Treat parsing as a debugging clue rather than a perfect identity signal.

Review alongside other signals

For compatibility issues, combine user-agent parsing with feature detection, viewport data, device logs, browser versions, and reproduction steps from the user.

Example usage

Input

Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 Chrome/120.0.0.0 Safari/537.36

Output

Browser: Chrome-style UA\nOS: Windows\nDevice: Desktop

Practical guide for User Agent Parser

Best practices

  • Use UA parsing as a support and log-analysis clue, not as proof of identity.
  • Pair user-agent data with feature detection for product behavior.
  • Check crawler and bot strings against request patterns before making blocking decisions.

Common mistakes

  • Assuming every UA string is honest or complete.
  • Using browser sniffing where feature detection would be more reliable.
  • Ignoring reduced or frozen UA behavior in modern browsers.

How this tool works

  1. Step 1

    Open User Agent Parser and review the default example input.

  2. Step 2

    Paste your own input or upload source data when required.

  3. Step 3

    Run User Agent Parser to generate output instantly in the browser.

  4. Step 4

    Verify the output using the preview and formatting helpers on the page.

  5. Step 5

    Copy the final result and continue with a related tool if needed.

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FAQ

What does a user-agent string show?

It can include browser family, version clues, rendering engine, operating system, device type, CPU details, app name, or crawler identity.

Can user-agent strings be spoofed?

Yes. Browsers, bots, scripts, and privacy tools can change or reduce user-agent details, so parsing is not proof of identity.

Why are user-agent strings so messy?

They carry years of browser compatibility history, tokens, and legacy identifiers that many sites still inspect.

When should I use feature detection instead?

Use feature detection for application behavior when possible. Use UA parsing for logs, support triage, analytics context, and compatibility clues.