Genderizer

Determine Gender from Arabic Names

Use Genderizer to genderize Arabic names and detect gender from name patterns through our machine learning API. Tailored for RTL scripts and Middle Eastern naming systems, it enables accurate gender classification, campaign personalization, and regional market analysis.

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https://api.genderizer.io/api/?name=ليلى الخطيب
{
    name:"ليلى",
    gender:"female",
    country:"SA",
    probability:94,
    remaining_credits:10
}
                
                    

Genderizer supports advanced AI to genderize names and detect gender across Chinese, Indian, Japanese, and other non-Latin character sets — delivering accurate gender classification for global use cases.

Predict Gender from Arabic Names with AI

Arabic names reflect rich linguistic and cultural traditions. Genderizer’s AI system understands classical, modern, and regional naming structures — allowing it to provide accurate, context-aware gender predictions even in complex cases.

  • No need to split names — enter the full Arabic name as written
  • Works with Arabic script, including diacritics and regional variants

Whether you’re serving users in the Middle East, North Africa, or Arabic-speaking communities worldwide, this feature helps you understand your audience better — without requiring sensitive personal details.


Frequently Asked Questions

🌙 How does Genderizer detect gender from Arabic names?

Arabic names often imply gender through certain linguistic patterns or cultural conventions — but not always clearly. Genderizer’s AI learns from real-world data across regions and dialects to make accurate predictions.

🧾 Do I need to enter the name in a specific way?

No special formatting is needed. You can input a single name, full name, or a name with diacritics — our system will adapt automatically and process it correctly.

🧠 What makes Arabic name detection unique?

Arabic names can come from tribal, religious, or poetic roots. These deeper layers require AI that understands not just words, but their cultural significance — something Genderizer is trained to handle.

🗺️ Is this tool accurate across all Arabic-speaking regions?

Yes. Genderizer is trained on data from the Gulf, Levant, North Africa, and diaspora populations — ensuring it recognizes names from a wide variety of Arabic-speaking backgrounds.