Check the Gender of a Name



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API, CSV Upload, No-Code and more

High-Volume Integrations With Easy-to-Use APIs

Integrate gender prediction directly into your workflows and perform efficient inference on big datasets with our simple APIs built for high volumes. Get started quickly with community libraries for any programming language.

Gender classification API request using Genderize

Full Name Parsing

Our name parsing algorithm allows you to pass full names to our API's.

Diacritics and Accents

We support diacritics from any language as well as non-latin alphabets.


Our dataset covers the whole planet and we support scoping your requests to specific countries.

Gender, age and nationality inference in CSV file

Upload and Process CSV Files

Looking to enrich your data with demographic insights? Our CSV tool allows you to upload your data and have gender, age and nationality added in minutes.

Using CSV processing is a quick way to gain insights into your users, audience, prospects and customers by analysing their demographic composition.

Upload CSV

Seamlessly Integrate With No-Code Tools

Automate and enrich your data across platforms like Google Sheets, Airtable, Shopify, and Salesforce.

With our official no-code integrations you can add gender information to any application. Automate and enrich data insights by integrating gender analysis into virtually any platform.

See also:

Make logo

Make allows you to visually create, build and automate workflows with a user friendly no-code integration tool.

See App
Zapier logo

Zapier automates your workflows across +7000 apps through a no-code UI.

See App
Zapier logo

Pipedream let's you connect services in your stack with code-level control when you need it and no code when you don't.

See App

Meet the Whole Suite

With our collection of services we offer prediction of gender, age and nationality from a name.

Genderize was first to market with name based statistical tools. For more than 12 years we've been collecting and processing data. Today we base our results on more than 1 billion people and have processed billions of requests.

Read about our data

Empowering Insights Across Industries

Gender classification has applications across many different fields and industries. The ability to enhance existing datasets with demographic data can unlock new possibilities in both commercial and academic projects.


Customer Analytics

Run gender segmentation on your customers, audience, or user datasets and gain insights into your market. Enhancing your customer profiles with demographic information can improve product development, content strategies, marketing, and promotional activities.

Academic Research

Understand the gender distribution in big corpora to analyze diversity and potential biases. Estimating the gender of authors, characters, or public figures mentioned in texts can help quantify and analyze biases and disparities in media and literature.

Audience Insights

Analyse the audience of your brand, channel or media. Understand the demographic makeup of your consumers to unlock insights and improve content development strategies.

Ship Fast With Our Healthy Community of Third-Party SDKโ€™s

Users of our services have open sourced amazing libraries for our API's, making it easy to integrate our name checking technology into any stack. You'll find libraries for nearly every programming language.

  • Ruby
  • Python
  • Go
  • Javascript
  • PHP
  • Java
  • C#
  • R
  • Scala
Browse 23 Libraries

Ready to Get Started?

Create an account in minutes to claim your API key and have unrestricted access.

Register an Account

Daily free usage

The API and CSV tool is free for up to 100 names/day. No sign up or API key needed, so go ahead and try it out.

Transparent pricing

We offer multiple tiers of usage. Cancellation at any time and no retention period.

See Pricing

Explore how our gender classification is used by thousands of users

We handpicked some of the most interesting cases to spark ideas and learn about our tools.

  • The Guardian logo

    The Guardian, Mahana Mansfield

    The dark side of Guardian comments

    The Guardian conducted research on the 70 million comments posted on its site since 2006, aiming to shed light on the prevalence of online harassment. Using genderize they were able to infer genders from the authors of comments....

    Read More
  • Nature logo

    Nature, Oscar Brรผck

    A bibliometric analysis of the gender gap in leading medical journals

    Aiming to shed light on gender diversity in academia, this study uses bibliometric data of original research and our Gender API to assign sex to authors....

    Read More
  • London School of Economics logo

    The London School of Economics and Political Science, Alex Holmes and Sally Hardy

    Gender bias in peer review โ€“ opening up the black box

    This study aims to investigate the impact of gender on peer review outcomes, examining gender imbalances in academic publishing. Our API was used to check genders of reviewers....

    Read More
  • The Washington Post logo

    The Washington Post, Christopher Ingraham

    39 studio releases and only one is directed by a woman

    The underrepresentation of women in directorial roles in the Hollywood film industry is brought into focus by recent analysis, revealing that out of 39 major studio releases for the summer, only one is directed by a woman....

    Read More
All Case Studies

Frequently Asked Questions

  • How can you tell if a name is male or female?

    Most names are predominantly used for either males or females, so a statistical approach will often yield good results. Of course, some names are used across both sexes, but a statistical approach will reveal that, too. Furthermore, naming conventions can rely on cultural differences. We cover that with support for scoping a lookup to a specific country.

  • How accurate is the tool in determining gender from names and how does it handle unisex names?

    Our predictions are based on the ratio of males to females with a given name. As such, the accuracy is based on whether a name is strictly used by one gender or as a unisex name. We return a probability with all predictions. A probability closing towards 50% means that both genders use the name with equal likelihood.

  • How does the tool handle names from different cultural or ethnic backgrounds?

    Naming conventions can be different across countries and cultures. We support scoping a classification to a specific country which will often improve the accuracy of your results.

  • Do you offer any free plans?

    We do - and you won't even have to sign up. You can process 100 names/day with our API or CSV tool and we'll limit you based on your IP.

  • Can the tool be integrated with our customer relationship management (CRM) systems?

    There's plenty of ways to start integrating our prediction services with your existing tools. The easiest way to get started is with our no-code, official Zapier app.

  • What kind of customer support do you offer?

    We're available on email to answer questions and help you out in integrating gender classification as part of your workflow. Reach out at