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We are happy to announce a new API endpoint which let's you query the origin of a name.

The endpoint has been developed over the last several months and will return a list of countries, where the name is commonly used.

And the best part is, we also added a link to a visualisation of this data to the response.

You can embed or display this map via iframe in any existing product.

Our PHP library will be updated in the next days to support the new endpoint.

The API docs can be found here.

Over the last couple of months, our team has worked very hard to improve the overall quality of every API call result.

Advanced Country Specific Rules

We improved the following countries' support by adding a lot of country specific rules:

USA, Germany, Austria, New Zealand, India, France, Netherlands

Extended Username Detection

The detection of usernames like S5ndr5 or !Tom43 received a major update and will now use various different algorithms to correctly resolve the name.

Emoji Filter

Gender-API.com now fully supports the "Emoji List, v11.0" and strips out all emojis from the provided query string.

We are updating our gender checker database with new names from around the world on a regular basis to improve the genderization quality. In addition, we manually check queries for which we could not find a result but that have already been requested several times.

After several months of working on an update of our data, we are happy to announce this big update to our name checker database with about 300,000 new entries. Our team added about 5,000 of those names manually.

Internal backtest showed that this update increased the genderization rate of names by about 2%.

The regular updates ensure the quality of our gender checker database.

Through our manual review, we ensure that the genderization results meet both our requirements and those of our customers.

Watch our short video and learn how to upload an Excel file for genderization.

Find a sample Excel file here.

The file can contain up to 50 columns, which means that you can also add custom columns to the Excel file, e.g. with a unique ID. All columns are copied into the target file one by one.

After the file upload, you can chose the column that you need to be checked against our name checker database.

Before the entire Excel file gets processed, you receive a preview of the genderized results.

After the processing of the file against our name checker database has been completed, the file can be downloaded with a single click.

The genderized file will contain an additional column called ga_gender which contains the gender of every row.

Just recently we were mentioned in a comprehensive benchmark and comparison of several available gender inference services.

The team of Gender Gap in Science who conducted the survey assembled a list with more than 7,000 people and their gender and used this list as a basis for the comparison. They combined different error metrics and constraints to define benchmarks for realistic situations (e.g.minimize the proportion of all inaccuracies while keeping the mix-ups between female and male assignments under the threshold of 5%). In all benchmarks, and on almost all sources comprising the test data set, Gender API shows the best results.

"In all our benchmarks, and on almost all sources comprising our test data set, Gender API shows the best results."

This outcome makes us very proud and confirms that conducting not just a simple database lookup, but working with data in detail is the best service we can offer to our customers.