Namsor

Gender name – Determine if a name is male or female

Namsor develops the world's leading AI for morphological name analysis, recognized by the international scientific community. Our revolutionary gender checker API leverages billions of analyzed names and cutting-edge AI algorithms to classify names as male or female with unmatched precision.

600+Research contributions

99.99%Names availability

11B billionsNames processed

Explore the advanced features of our gender name API

Identify the most likely gender name by analyzing a first name and (optionally) a surname or an unsplit full name. Specify a local context to improve accuracy. This helps capture cultural nuances.

Slightly more accurate with separate names.
Local context improves accuracy.

Gender: first & last name

Ideal feature for estimating gender from a split name:

First name, given name, nickname.

Last name, family name, surname.

information

How to interpret the returned values

When you use our gender finder API or interface, you receive several indicators. Here are the main ones:

  • Male gender symbol

    Presumed Gender (male, female) This estimate shows if the name is usually male or female.

  • Probability indicator

    Calibrated probability (Between 50% and 100%) This percentage shows how reliable the estimate is. If the percentage is 91% the estimated gender is very reliable. If it is 50% then it has as much chance of being male as female (common for unisex names).

  • Latin writing

    Script (Latin, Cyrillic, etc.) Shows the writing system used for the name. This helps identify its linguistic and cultural roots.

What is gender, and how to infer it from a name?

Gender refers to the social or cultural classification of an individual as male or female. This classification is based on their identity, roles and expressions. Most cultures use a binary system in which gender is divided into two categories: boys/men/males and girls/women/females.

Example of a basic morphological analysis of the Sharma surname.

By studying names, called onomastics, we can guess a person's gender. This is done through a morphological analysis of the name.

Our gender checker API looks at the likelihood of the name being masculine or feminine. It considers cultural, linguistic, and regional differences identified during the name analysis.

If the probability of the identified gender is between 50% and 60%, it means the name is not clearly linked to one gender. This is simply because the name is used by men and women in equal proportions.

How do we determine the gender of the name?

We develop specialized AI to estimate gender. It combines morphological name analysis with advanced NLP techniques. We design each step, from assembling data sets to continuous learning, to optimize identifying male and female names.

  1. Data collection icon
    1

    Extensive data gathering and preparation

  2. AI model training icon
    2

    Onomastic model training for gender name estimation

  3. Model validation icon
    3

    Rigorous model evaluation and validation

  4. Continuous learning icon
    4

    Continuous updates and cultural adaptation

Is Namsor the best tool to estimate gender?

Discover how Namsor's specialized onomastics outperforms LLMs, static databases, and other name analysis tools in accurately identifying whether a name is male or female.

NamsorData base comparaisonLarge Language Model (LLM)Onomastic solutions
Accuracy
Language coverage
Names covered99.99%75% to 92%
(depending on the solution)
80% to 95%
(depending on the models)
99.99%
Distinguishes typos from cultural nuances
Specialised onomastic analysisInfo
(morphology, context)
(gross indexation)
(not dedicated to names)
(Partial)
Data updatesInfoContinuous
(data & algorithms)
SporadicNon priorityIrregular
Speed of analysis per name
(lower is better)
0.01 sec.0.01 sec.From 1 sec. to 5sec.0.03 sec.
Privacy and anonymityInfoVery high
(Anonymisable data, deactivatable machine learning)
Medium
(No anonimisation of data)
Very low
(Data retention and compulsory machine learning)
Low
(Data retention)

How to use Namsor for gender analysis

Analyze names to determine gender using our API documentation, CSV/Excel tools, or developer resources. Choose the method that best fits your needs.

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CSV and Excel Tool

Process small to medium-sized name lists without coding. Upload your document and select the gender analysis options you need. This tool provides quick results for batch processing.

Process a CSV or Excel file
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API Documentation

For large-scale integration or dynamic applications, use our REST API to add gender analysis features to your systems. Complete documentation includes step-by-step guides and code examples in JavaScript, Python, Java, and Shell.

Explore the API Documentation
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Developer Tools

Access advanced gender analysis capabilities through our Software Development Kits (SDK) or Command Line Interface (CLI). Available for Java, Python, GoLang, and JavaScript to integrate seamlessly into your development workflow.

Download Developer Tools

Why use our gender checker?

Analysis of first names, surnames and full names to determine information such as gender is used in a wide range of fields.

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Marketing

The success of a marketing campaign depends on personalisation.

With Namsor, you can instantly segment your databases according to customer gender.

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Research

Gender equity is a major issue, but how can it be measured effectively on a large scale?

Namsor enables researchers to analyse the distribution of men and women in voluminous databases.

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Fighting discrimination

Unconscious biases do exist, but they should not dictate decisions.

Recruitments companies used Namsor to check the diversity of applicants for their technical jobs.

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Historical analysis

A genealogist used Namsor to sort thousands of names by gender.

This sped up family tree building and revealed unknown historical trends.

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IA Act compliance

By estimating name gender, tech companies can audit models, detect biases early, and prevent discrimination.

A major tech firm corrected a recommendation model that unknowingly favored one gender.

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Streamlined contact forms

Nobody likes filling in endless forms.

By automatically pre-filling the salutation based on the name, a hotel booking platform has reduced the abandonment rate of its forms by 7%.

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Brands and influencers

Brands and creators analyze their audience's name origin and gender through Namsor.

They tweak marketing campaigns and collaboration strategies to connect with cultural details. This boosts engagement and loyalty.

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Population flows analysis

Understanding Population flows composition is key to adapting public services and infrastructures.

By estimating gender, an international airport has been able to better calibrate its services to suit travellers.