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Pricing for Namsor features

NameCost per unitSummaryTest feature
Name Type1 creditReturns the type of submitted proper nouns. Ex: John Smith = personal name, Namsor = brand name.
Name Type Geo1 creditReturns the type of submitted proper nouns using their geographic context. Ex: John Smith = personal name, Namsor = brand name.
Gender Geo1 creditReturns the most likely gender of first names and last names using their geographic context.
Gender1 creditReturns the most likely gender of first names and last names.
Gender Full Name1 creditReturns the most likely gender of full names.
Gender Full Name Geo1 creditReturns the most likely gender of full names, according to their geographic context.
Split Name1 creditReturns the most likely first name and last name structure of full names.
Split Name Geo1 creditReturns the most likely first name and last name structure of full names using their geographic context.
Split Chinese Name1 creditReturns the most likely first name and last name structure of full names (family names and given names) in Standard Mandarin Chinese.
To Pinyin Name1 creditReturn the most likely Pinyin transcription of full names (family names and given names) in Standard Mandarin Chinese.
Match Chinese Name1 creditMatches full names in Standard Mandarin Chinese against corresponding family names and given names in Pinyin.
Gender Name Pinyin1 creditReturn the most likely gender of family names and a given names in Pinyin.
Gender Name Mandarin1 creditReturns the most likely gender of full names (family names and given names) in Standard Mandarin Chinese.
To Mandarin Name1 creditReturns the most likely Standard Mandarin Chinese transcriptions using family names and given names in Pinyin.
To Mandarin Name Gender1 creditReturns the most likely Standard Mandarin Chinese transcriptions for Pinyin first names and last names, according to their gender.
Split Japanese Name1 creditReturns the most likely first name and last name structure of full names (family names and given names) in Kanji or latin characters.
To Kanji Name1 creditReturns the most likely Kanji transcriptions for japanese first names and last names in latin characters.
To Kanji Name Gender1 creditReturns the most likely Kanji transcriptions for japanese first names and last names in latin characters, according to their gender.
To Latin Name1 creditReturns the most likely latin transcriptions for japanese first names and last names in Kanji characters.
Match Japanese Name1 creditMatches full names in Kanji against corresponding family names and given names in latin characters.
Gender Name Latin1 creditReturn the most likely gender of japanese family names and a given names in latin characters.
Gender Name Kanji1 creditFind the most likely gender of Japanese full names (surnames and given names), written in Kanji characters.
Origin10 creditsReturns the most likely country of origin of first names and a last names. Note that the "Diaspora" endpoint may be better suited for countries like U.S.A, Canada, Australia, New-Zealand and other melting-pots.
Country Subclassification10 creditsReturns the most likely geographic subdivision context of of first names and a last names. Subdivision are either a country's states or regions. At the moment this is only supported for India (ISO 3166-1 alpha-2 code "IN").
Country10 creditsReturns the most likely geographic context of full names (first names and last names) or surnames.
US Race and Ethnicity10 creditsReturns the most likely U.S. race or ethnicity of U.S. resident's first names and last names.
US Race and Ethnicity ZIP10 creditsReturns the most likely U.S. race or ethnicity of U.S. resident's first names and last names, using their ZIP code.
Phone Code11 creditsReturns the most likely phone prefix, country of origin and format of phone numbers using first names and last names.
Phone Code Geo11 creditsReturns the most likely phone prefix and format of phone numbers using first names, last names and geographic context.
Corridor20 creditsReturns complete analysis of cross border interactions between two names using their geographic context. The sender is the one who initiated the interaction (from) while the receiver is the one intended to receive the interaction (to).
Diaspora20 creditsReturns the most likely ethnicity or diaspora of first names and last names, according to their country of residence.

About subscription

Ask us about ENTERPRISE pricing if you plan to process more than one million names per month.

With NamSor PRO, for example, you pay a monthly subscription of 19$ to process up to 10000 names to infer gender (1 credit per name). Beyond that, the following charges will apply : $0.003 per extra genderized name.
We apply a (1 / 20) ratio on duplicate names, so you can process up to twenty times the same name.

Overages as calculated according to your current subscription period, billed and reset every month. Subscriptions can be canceled or modified at any time. We don't apply pro-rating to simplify billing and avoid having subscriptions changed too often. Prices are quoted in your preferred currency, excluding tax/VAT. We use Stripe for secure payment processing, so we never have access to your CC details.