User-Agent Parser

About the User Agent Parser

Our free user agent parser breaks down any user agent string into its core components: browser name & version, operating system & version, device type, and rendering engine. Simply paste a UA string or let the tool auto-detect your current browser to get a full breakdown in seconds.

Every HTTP request includes a user agent string that identifies the client to the server. Parsing this string is essential for cross-browser debugging, log analysis, device-specific content serving, and understanding your audience's technology profile. Our parser handles all major browsers, operating systems, and device families with reliable pattern matching.

The tool also displays screen & display information for your current device, including resolution, viewport size, pixel ratio, and color depth. You can export the full report as a text file or JSON for sharing with teammates or attaching to bug reports.

Key Features

• Browser detection: Chrome, Firefox, Safari, Edge, Opera & more
• OS identification: Windows, macOS, Linux, Android & iOS with version details
• Device classification: desktop, mobile & tablet with vendor and model info
• Rendering engine parsing: WebKit, Gecko, Trident & Presto
• Screen & display metadata: resolution, viewport, pixel ratio & color depth
• Auto-detection of your current browser's user agent on page load
• Pre-loaded example UA strings for Chrome, Safari, Firefox & Android
• Export results as plain text or JSON with one click
• Real-time parsing that updates instantly as you type
• Clean, responsive interface with dark mode support

How to Use

1. View your current UA: On page load, your browser's user agent string is automatically parsed and displayed.
2. Paste a custom UA string: Replace the text in the input area with any user agent string you want to analyze.
3. Try an example: Click one of the example buttons (Chrome on Windows, Safari on iPhone, etc.) to load a sample UA.
4. Review parsed details: Check the browser, OS, device, and engine panels for structured information.
5. Export the report: Click "Download as Text" or "Download as JSON" to save the parsed results for your records.

Use Cases

• Cross-browser debugging: Identify the exact browser version and engine behind a rendering bug reported by a user.
• Server log analysis: Parse UA strings from access logs to understand traffic by browser, OS & device type.
• Device-specific content delivery: Serve mobile-optimized pages, app install banners, or desktop-only features based on device type.
• Analytics & audience research: Break down visitor demographics by browser and OS to prioritize testing efforts.
• QA & testing: Verify that test requests carry the expected UA string and that server-side UA detection logic is correct.
• Security investigation: Identify unusual or spoofed user agents in traffic logs that may indicate bot activity.
• Bug report enrichment: Export a JSON report and attach it to issue tickets so developers know the exact client environment.

Frequently Asked Questions

Tips & Best Practices

• Auto-detect first: Let the tool parse your own browser's UA on load to verify it is working correctly before pasting external strings.
• Use JSON export for automation: Download the JSON report and feed it into scripts or CI pipelines for automated environment checks.
• Compare multiple UAs side by side: Open the tool in two tabs to compare parsed results from different user agent strings.
• Check the rendering engine: Two browsers may look different but share the same engine (e.g., Chrome and Edge both use WebKit/Blink).
• Include screen info in bug reports: The screen resolution, viewport, and pixel ratio sections provide valuable context for reproducing display issues.
• Do not rely solely on UA for security: User agent strings can be easily spoofed, so never use them as the sole basis for access control decisions.