Check the Age of a Name

How We Predict Age by Name

Using statistical models and demographic analysis, we predict age ranges based on name popularity trends over time. Our API provides reliable age estimations for better user targeting and personalization.

🚀 API Integration Ready

Enhance your user experience with age-appropriate content and targeted marketing using our precise age prediction API.

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Statistical Analysis

We use comprehensive demographic data and statistical models to estimate age ranges based on name popularity trends.

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Cultural Context

Our system considers cultural naming patterns and generational trends across different regions and languages.

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Historical Data

We analyze decades of naming trends from 195+ countries to provide accurate age estimations.

✨ Trusted by developers worldwide•🔒 Privacy-first approach•⚡ Lightning-fast responses

CSV Support for Larger data

firstName	lastName	gender	genderProbability	age	ageProbability	country	countryProbability
Alice	Smith	female	0.98	28	0.94	USA	0.95
Bob	Johnson	male	0.96	35	0.91	Canada	0.92
Charlie	Brown	male	0.89	22	0.87	UK	0.88
Diana	Prince	female	0.97	30	0.93	France	0.91
Emily	Clark	female	0.93	25	0.89	Australia	0.9
Fatima	Khan	female	0.94	27	0.92	Pakistan	0.93
Juan	Martinez	male	0.91	32	0.88	Spain	0.89
Liu	Wei	male	0.92	29	0.9	China	0.9
Olga	Ivanova	female	0.95	31	0.91	Russia	0.92
Sara	Ahmed	female	0.9	26	0.86	Egypt	0.88
Tom	Hansen	male	0.87	34	0.85	Norway	0.86