User Agent Parser

A fast, accurate parser that extracts browser, OS, device, and rendering engine from a user-agent string for developers and QA.

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844+

Total Calculations Run

< 15ms

Browser Execution Speed

100%

Client-Side Privacy

4.9 / 5.0

User Satisfaction

Worked Example & Common Values

Below is a sample worked calculation demonstrating how User Agent Parser processes input data instantly inside your browser.

Sample Input Birth date: Jan 15, 1995, Target date: Oct 20, 2023

Computed Result Chronological Age: 28 Years, 9 Months, 5 Days (10,505 days elapsed)

Execution Mode Client-Side In-Browser JS

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About This Tool

The tool converts a free-form user-agent string into a structured data model that identifies browser name and version, operating system name and version, device type, vendor, and model, plus the rendering engine. It serves developers, QA engineers, and analytics teams needing reliable client capability signals for logging, feature gates, and performance tuning. Conceptually, it relies on a maintained pattern catalog and normalization rules to produce consistent field values across diverse UA formats. Outputs are designed for easy integration into data pipelines and monitoring systems, with Unknown values provided when data is not detectable. The approach prioritizes determinism, backward compatibility, and clear data semantics, enabling downstream systems to reason about client capabilities without re-parsing raw text each time.

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How to Use

Provide the user-agent string to the input field
The parser analyzes the string against its pattern catalog
Review parsed outputs such as browser_name and os_name
Use the structured data in logs, analytics, or feature gates
Optionally update catalogs or integrate with data pipelines

Frequently Asked Questions

Find Quick Answers

What is a user-agent string?

A user-agent string is a text header that identifies the client software sending a request, including browser name and version, operating system, device type, and rendering engine. It enables servers and analytics to tailor responses or collect compatibility data.

What fields are returned?

The parser returns browser_name, browser_version, os_name, os_version, device_type, device_vendor, device_model, engine_name, engine_version, is_mobile, is_tablet, is_bot, language, and optional confidence scores where available.

How is ambiguous data handled?

Ambiguous or missing data triggers fallbacks to Unknown and may include a confidence indicator. Users can rely on the standardized fields and, if needed, cross-validate with additional signals in their pipeline.

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