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    Free User Agent Parser

    Report a problem

    Extract browser and OS information

    Client-Side Processing
    Instant Results
    No Data Storage

    What is User Agent Parser?

    User agent strings are messy, but they still power debugging, analytics, and feature fallbacks. When a browser bug appears, quickly decoding the UA can save hours.

    This parser extracts browser, OS, device, and engine data from any UA string. It is a practical helper for support teams, QA, and developers who need consistent parsing without guesswork.

    Raw user agents are hard to interpret

    UA strings include legacy tokens that confuse manual reading.

    Different browsers format versions and devices inconsistently.

    Support teams often need quick answers during incident response.

    Bots and crawlers can hide among standard UA formats.

    Structured parsing with clear limits

    Paste any UA string to get a structured breakdown of browser, OS, and device type.

    The output helps you standardize logging and QA notes.

    Limitations apply: UA parsing is heuristic and can be spoofed or incomplete.

    How to Use User Agent Parser

    1. 1Paste the UA string - Use logs, analytics, or a support ticket.
    2. 2Parse the data - Generate a structured breakdown.
    3. 3Review browser details - Check name, version, and engine.
    4. 4Check device type - Identify desktop, mobile, or bot.
    5. 5Copy results - Use the JSON output in your report.
    6. 6Cross-check issues - Compare with known compatibility notes.

    Key Features

    • Browser detection
    • OS identification
    • Device type recognition
    • Engine detection
    • Version numbers
    • JSON export

    Benefits

    • Debug browser issues
    • Analyze traffic
    • Test user agents
    • Identify bots and crawlers

    Use cases

    Bug triage

    Identify the affected browser and OS quickly.

    QA testing

    Verify support for specific versions.

    Support tickets

    Decode UAs from user reports.

    Analytics audits

    Review traffic device splits.

    Bot detection

    Flag known crawlers in logs.

    Feature fallback

    Decide when to show polyfills.

    Device targeting

    Validate responsive design assumptions.

    Incident reviews

    Capture browser context in postmortems.

    Monitoring

    Track adoption of new browser versions.

    Tips and common mistakes

    Tips

    • Copy the full UA string without truncation.
    • Check for bot identifiers when traffic looks unusual.
    • Use parsed data to enrich logs and tickets.
    • Cross-reference with analytics to confirm trends.
    • Remember that UA strings can be spoofed.
    • Store the raw UA alongside parsed results.
    • Update parsing logic as new browsers appear.
    • Use feature detection when possible instead of UA rules.

    Common mistakes

    • Assuming UA parsing is always accurate.
    • Basing feature support solely on UA strings.
    • Ignoring OS version when debugging issues.
    • Truncating the string and losing key tokens.
    • Treating all bots as malicious.
    • Failing to record the raw UA for audits.
    • Overfitting rules to a single UA example.
    • Using UA to bypass access controls.

    Educational notes

    • UA strings include browser, engine, and OS tokens.
    • Tokens are often legacy for compatibility.
    • UA parsing is heuristic and can be spoofed.
    • Device type is not always explicit.
    • Prefer feature detection for critical logic.
    • Store raw UA strings for audit trails.
    • Bots often identify themselves, but not always.
    • Local parsing keeps data private.
    • UA formats evolve with browser updates.

    Frequently Asked Questions

    Can a user fake their UA?

    Yes, many tools can spoof it, so use it as a hint, not proof.

    Why does it say Mozilla for Chrome?

    Legacy compatibility tokens are still included by most browsers.

    Does this detect in-app browsers?

    Some in-app browsers include identifiers, but not all.

    Is it reliable for analytics?

    It is useful, but prefer feature detection for critical behavior.

    What users usually get wrong?

    They assume UA parsing is authoritative for device detection.

    Can this parse very old browsers?

    Many older patterns are supported, but accuracy varies.

    Does it store my UA strings?

    No. It runs locally in your browser.

    Why is the device type unknown?

    Some UAs do not include device indicators.

    Can it identify bots reliably?

    It detects known bot tokens but cannot guarantee intent.

    Does it include screen size?

    No. UA strings do not include screen dimensions.

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