Estimates a gender from a first name.
Genderize.io is an API service that predicts the likely gender associated with a given first name. It accepts full names and extracts signal from each component, supports diacritics and non-Latin alphabets, and allows requests to be scoped to specific countries for localized results. The service has been collecting and processing name data since 2009, with predictions based on a dataset of more than 1 billion people.
Beyond the core API, the product offers a spreadsheet tool for uploading datasets to check gender, age, and nationality in bulk, along with official client libraries for API integration. No-code connections are available for Google Sheets, Airtable, Shopify, Salesforce, Zapier, Make, n8n, and Pipedream, and the service can also be connected to AI assistants and tools that support the Model Context Protocol, such as Claude and Cursor, using the same API key.
The service is aimed at developers and organizations working with customer, audience, or user datasets who want to add demographic insights such as gender, age, or nationality. It is part of a suite that includes agify.io for age estimation and nationalize.io for nationality prediction, and the company describes itself as EU-based and GDPR compliant.
It offers a REST API with official client libraries, plus no-code integrations for Google Sheets, Airtable, Shopify, Salesforce, Zapier, Make, n8n, and Pipedream. It also supports MCP for use with AI assistants like Claude, Cursor, and ChatGPT.
Yes, it supports diacritics and accents from any language as well as non-Latin alphabets, and can scope predictions to specific countries.
It's aimed at developers and businesses wanting to enrich customer, audience, or user datasets with demographic insights for applications like customer analytics.
It is based on more than 12 years of data collection, drawing on results from over 1 billion people and billions of processed requests.
Yes, a spreadsheet tool lets users upload data to check gender, age, and nationality predictions, alongside no-code platform integrations.
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