What is gender detection from names?

Gender detection from names is a computational method that predicts a person's gender based on their first name. This technique uses databases of names from various cultures and languages, analyzing naming patterns and conventions to make statistical predictions. While not 100% accurate due to unisex names and cultural variations, it's widely used in data analytics, marketing, and demographic research to categorize large datasets when explicit gender information isn't available.

Tool Description

The Name Gender Detector analyzes first names and predicts the associated gender using a comprehensive database of names from multiple cultures and languages. The tool automatically handles Cyrillic names by transliterating them to Latin characters before analysis, ensuring accurate detection for Russian, Ukrainian, and other Cyrillic-based naming conventions.

Features

  • Instant Gender Detection: Real-time analysis as you type the name
  • Cyrillic Support: Automatic transliteration of Cyrillic names (Russian, Ukrainian, etc.) to Latin alphabet for accurate detection
  • Transliteration Display: Shows the transliterated version of Cyrillic names
  • Multiple Output Formats: Provides gender in text format, emoji representation (♂️/♀️/❓), and ISO/IEC 5218 numeric code
  • International Database: Recognizes names from various cultures and languages worldwide
  • Copy Functionality: Easy copying of detected gender and ISO code results

Use Cases

  • Data Analysis: Categorize large contact lists or customer databases by predicted gender
  • Marketing Research: Segment audiences for gender-based marketing campaigns
  • Demographics: Analyze gender distribution in datasets where explicit gender data is missing
  • Form Validation: Pre-fill gender fields in registration forms based on entered names
  • Research: Study naming patterns and gender conventions across different cultures
  • CRM Systems: Enrich contact information with predicted gender attributes

ISO/IEC 5218 Gender Codes

The tool returns standardized gender codes according to ISO/IEC 5218:

  • 0: Unknown/Not specified
  • 1: Male
  • 2: Female