Identify gender by first name
using AI
Below is a free classifier to identify gender by first name. Just input your text, and our AI will predict if they are more likely to be male or female - in just seconds.
Disclaimer - Nyckel recognizes that gender is a complex spectrum and a social construct. This tool assesses likely gender based on societal norms for informational purposes only. We encourage users to apply this tool thoughtfully and with respect to individual self-identification.
Create a free account to:
Get instant API credentials
Start calling the API immediately with your own keys
Track accuracy on your data
See real-time performance metrics and understand how well the model works for your specific use case
Discover better models for your data
Get recommendations for specialist models trained on your examples that are more accurate and cost-effective
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if they are more likely to be male or female.
This pretrained text model uses the UC-Irvine dataset and has 2 labels, including Male vs Female.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if they are more likely to be male or female).
Whether you're just curious or building gender by first name detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify gender by first name at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Retail: Tailor marketing and product recommendations based on the likely gender associated with customer names.
- Human Resources: Streamline the candidate sorting process by automatically categorizing applicants by likely gender.
- Customer Service: Personalize communication and responses using likely gender to address customers more appropriately.
- Online Forms: Simplify form filling by predicting and pre-selecting gender fields based on first names.
- E-commerce: Customize browsing experiences and product suggestions by inferring likely gender from user profiles.
- Healthcare: Improve patient communication by identifying likely gender from patient names for targeted health advice.
- Education: Enhance classroom diversity strategies by analyzing the likely gender distribution of student names.