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Turkish name gender

Turkish names resolve accurately, carry no counted evidence, and include a well-defined set of genuinely unisex names. All three facts matter for how you use the result.

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Names measured
61
Coverage
98.4%
Accuracy when answered
93.3%
End-to-end
91.8%

Measured 28 August 2026 on a fixed, reproducible fixture. Not a population sample — a fixed input anyone can rerun against us or against a competitor.

Correct, and unverified

Turkey publishes no name registration counts, so every Turkish answer returns total_names: 0 and confidence: unverified. That is a statement about auditability, not about correctness — the measured accuracy above is the number that speaks to whether the answer is right.

If your filter is "reject anything unverified", you will reject Turkey entirely along with most of the world outside seven Western countries. Filter on probability and on the measured accuracy for the market instead.

Real output, country hint TR

Deniz at 75 is the honest answer for a name used across genders in Turkey. Names in this class — Deniz, Özgür, Evren, Umut, Yücel — are where a country-blind, threshold-free pipeline quietly produces wrong salutations.

Input Gender Probability
Ayşe female 95
Mehmet male 95
Zeynep female 95
Yağmur female 95
Can male 95
Deniz female 75

Dotted and dotless i, and the rest of the alphabet

Turkish distinguishes i/İ from ı/I, and a naive lowercase turns İ into a character that no longer matches. Accent folding here is script-aware rather than a lookup table, so Ayşe, AYŞE and ayse reach the same entry, and ç, ğ, ö, ş and ü behave the same way.

Your input is echoed back unchanged in q, so folding never rewrites the value you store.

Compound and second names

Two-part given names are common — Ayşe Nur, Mehmet Ali, Fatma Zehra. The first token is classified, which is the right choice for these pairs since the first element carries the gender. Where a record holds the full name including the surname, check the name field to confirm the extraction landed on a given name.

One caveat on the measurement at the top of this page: it rests on 61 Turkish names in the fixture. That is enough to show the market works and not enough to quote to three decimal places. If Turkish names are a large share of your data, run your own sample before relying on the figure.

For the unisex class specifically, a probability threshold does most of the work. Accepting only answers at 90 or above removes Deniz and its relatives from your salutation logic while leaving the ordinary names untouched, which is usually the right trade for a mailing and the wrong one for a headcount report.

Questions

Is the site available in Turkish?

The product interface and documentation are, in Turkish and twenty other languages. These landing pages and the notes are English only.

Why unverified when the answer is right?

Because Turkey publishes no registration counts. Confidence measures counted evidence; accuracy is measured separately and published above.

How are unisex Turkish names handled?

They return a probability in the 70s rather than a forced pick. Set a threshold and route the rest to review.

Do Turkish characters need encoding?

Send UTF-8 and percent-encode in query strings. Case and accent folding happen on our side.

Related pages

Arabic name gender

Predict gender from an Arabic name written in Arabic script or transliterated. How the consonant skeleton index works and why it beats guessing a spelling.

Indian name gender

Predict gender from an Indian name in romanised or Devanagari form. This is our strongest non-Latin market, and this page shows the measured numbers.

Gender probability by name

Every name lookup returns a probability, a sample size and a confidence tier. What each one measures, how the tiers are set, and where to put your threshold.

Andrea, Jean, Kim: the names where the answer depends on the country

Some ordinary names flip gender across borders, and the error is systematic rather than random. What the country parameter does, and where the data comes from.

Our coverage, script by script — including where we fail

A reproducible benchmark across 4,610 names, 25 countries and nine writing systems. Two scripts return almost nothing, and we publish those numbers too.

Check it against your own list

Every number on this page is reproducible with a free key. If your data breaks it, that is the more interesting result.