GenderAPI

🌐 Gender API Add-In for Excel: Enhance Your Data with Advanced Gender Detection

✨ New: Use GenderAPI Formulas in Excel!

We’ve introduced powerful new formulas that bring our AI-driven gender detection directly to your spreadsheets. These formulas allow you to determine gender from names, email addresses, and usernames without leaving Excel.

• GENDER.FROM_NAME – Detect gender from a given first name using our global AI model. Ideal for CRM and user segmentation tasks.
• GENDER.FROM_EMAIL – Automatically extract the name from an email address and determine the gender. Perfect for personalized email campaigns.
• GENDER.FROM_USERNAME – Predict the gender behind usernames and social handles, even when names are not directly available.

For a complete walkthrough of these formulas with examples, visit our detailed guide: 🌐 Gender Formula for Microsoft Excel .

The Gender API Add-In for Excel empowers users to perform

gender detection from first names,

extract names from email addresses, and

predict gender using usernames — all directly inside Excel.

For a detailed step-by-step tutorial with screenshots, please visit our blog article:

Genderize Excel Names Using GenderAPI Excel Add-In

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Before downloading the add-in, you can test how gender detection works using the links below:

• Determine Gender from First Name
• Detect Gender from Email Address
• Predict Gender from Username

The application also supports all non-Latin scripts, making it a global-ready solution. You can explore how gender is identified across different writing systems:

• Chinese Name Gender Detection
• Indian Name Gender Detection
• Japanese Name Gender Detection
• Arabic Name Gender Detection

Note: Some features require a valid license. Check our pricing plans for more details.

🌍 Country-Specific Gender Accuracy

The add-in features a country filter to ensure localized accuracy. For instance, the name “Andrea” may be feminine globally, but it's a masculine name in Italy. Thanks to the country-based name classification system, such nuances are handled automatically.

🧠 AI-Powered Infrastructure for Accurate Results

The add-in utilizes advanced algorithms and artificial intelligence, going beyond simple databases. When detecting gender from email addresses like alextaylor@domain.com, it first identifies the name and then performs AI-powered gender prediction. This is particularly useful for personalizing email campaigns.

📊 Enriched with Additional Metadata

• Probability: Shows the confidence level of gender prediction.
• Found Name: Indicates the name extracted from email or username.
• Country Code: Enhances accuracy through geographic context.

These insights are crucial for CRM integration, data enrichment, and audience segmentation.

🎓 Use Cases

📬 Email Marketing and Personalized Greetings

With gender identification, you can greet recipients properly — e.g., “Dear Mr. Mehmet” or “Hello Ayşe” — instead of using impersonal phrases. This enhances the personalization in Excel-based communication.

📈 Data Analysis and Segmentation

Gender-based user classification improves targeting and efficiency. The Gender API Excel Add-In supports large-scale segmentation for marketing and BI teams.

🏫 Academic and Scientific Research

Ideal for researchers in linguistics, sociology, or data science who require bulk gender classification to uncover patterns across large datasets.

🛠️ Data Cleaning and Validation

Automatically fill in missing gender fields and correct inconsistencies — saving time and improving data quality for data teams and IT professionals.

🔎 Why Choose the Gender API Add-In for Excel?

• Analyze thousands of names within seconds.
• AI-powered email-to-gender identification boosts personalization.
• Country-specific name and gender detection ensures relevance in every region.
• Username-based gender prediction for modern use cases.
• Support for non-Latin characters like Chinese, Hindi, Arabic, and more.
• Seamless CRM and email marketing tool integration with first name gender identification.
• Improve accuracy with country code-based analysis and confidence scoring.