Get Language by Name
How We Predict Language by Name
We analyze linguistic roots, spelling patterns, phonetics, and regional naming traditions to estimate the most likely language associated with a name. Our models are built to surface useful language insights quickly and clearly.
🚀 API Integration Ready
Use our language-by-name API to enrich profiles, improve localization workflows, and build smarter language-aware user experiences.
Linguistic Pattern Analysis
We analyze spelling structures, phonetic signals, and language-family patterns to estimate the most likely language tied to a name.
Regional Name Context
Our models consider how names are used across regions, cultures, and writing traditions to improve language association accuracy.
Confidence-Based Results
Every prediction is returned with confidence information so you can judge how strongly a name maps to a likely language background.
CSV Support for Larger data
| firstName | lastName | gender | genderProbability | age | ageProbability | country | countryProbability |
|---|---|---|---|---|---|---|---|
| Alice | Smith | female | 0.98 | 28 | 0.94 | USA | 0.95 |
| Bob | Johnson | male | 0.96 | 35 | 0.91 | Canada | 0.92 |
| Charlie | Brown | male | 0.89 | 22 | 0.87 | UK | 0.88 |
| Diana | Prince | female | 0.97 | 30 | 0.93 | France | 0.91 |
| Emily | Clark | female | 0.93 | 25 | 0.89 | Australia | 0.9 |
| Fatima | Khan | female | 0.94 | 27 | 0.92 | Pakistan | 0.93 |
| Juan | Martinez | male | 0.91 | 32 | 0.88 | Spain | 0.89 |
| Liu | Wei | male | 0.92 | 29 | 0.9 | China | 0.9 |
| Olga | Ivanova | female | 0.95 | 31 | 0.91 | Russia | 0.92 |
| Sara | Ahmed | female | 0.9 | 26 | 0.86 | Egypt | 0.88 |
| Tom | Hansen | male | 0.87 | 34 | 0.85 | Norway | 0.86 |
Bulk Processing
We also support CSV uploads to process multiple names at once. Simply upload your file and get results instantly for all entries!
Your CSV file should have columns named 'firstName' and 'lastName' containing the names you want to check. Here is an example:
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What users are saying
Verified customer feedback from teams using Language by Name to improve localization and user intelligence workflows.
Jonah Clarke
Language by Name helped us route users into the right localization flow faster. It reduced manual cleanup and gave our support team much better first-touch accuracy.
Amina Rahman
We integrated this endpoint into our CRM enrichment process and immediately improved language-personalized messaging. The response time is fast and reliable.
Victor Almeida
Setup was simple and the API output worked cleanly with our segmentation rules. It has become a reliable signal in our onboarding and campaign pipelines.
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Simple, transparent pricing. First 1000 requests free, then pay as you go. Check out our pricing page for more details.
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