Gender API
Determine Gender from Arabic Names.
Detect gender from Arabic names with precision using our machine learning-based API. Built to handle right-to-left scripts and common Arabic name structures, this solution is ideal for enhancing data pipelines, personalized campaigns, regional segmentation, and lead scoring in MENA markets.
Gender API supports gender detection for names from China, India, Japan, and all non-Latin script countries — powered by AI for accurate global results.
Detecting Gender from Arabic Names with AI
Arabic names often carry rich layers of meaning tied to heritage, language structure, and religious context. Our AI-powered system interprets these layers — whether the name is classical, modern, or regional — to deliver smart and context-aware gender classification.
- No need to split first and last names — full Arabic names can be entered naturally
- Supports names in Arabic script, including diacritics and regional variations
Whether you're working with user data from the Middle East, North Africa, or Arabic-speaking diaspora, this feature helps your platform understand identity with more precision — without intruding on user privacy or requiring extra fields.
Frequently Asked Questions
🌙 How does gender prediction work with Arabic names?
Arabic names often reflect gender through linguistic patterns, suffixes, or cultural norms — but it's not always obvious. Our AI doesn’t rely on rules alone; it learns from real-world usage across regions, dialects, and styles to provide reliable results.
🧾 Do I need to write the name in a specific format?
No formatting is required. You can enter a single name, a full name, or even names with diacritics. The system adapts to the input as it appears, understanding structure without needing manual input separation.
🧠 What makes Arabic name analysis different?
Unlike Western naming conventions, Arabic names can span across religious, tribal, or poetic origins. This complexity requires more than just a dictionary lookup — our AI incorporates cultural insight into its predictions.
🗺️ Is this system accurate for all Arabic-speaking countries?
Yes. Whether the name comes from the Levant, the Gulf, North Africa, or diaspora communities, the system is trained on diverse datasets to handle regional variations and lesser-known name forms.