HumanGraphics is a REST API that converts names, locations, and faces into structured data and demographics estimates. Sound interesting? Take it for a test drive!
And it launched today! Check out the website for a special launch offer!
Name Parser
HumanGraphics’ name analysis endpoints take a full (i.e., “Andy Boothe”) or faceted (i.e., first name: “Andy”, last name: “Boothe”) personal name and produces a structured representation of the name (first name, middle name, last name, …) plus demographic estimates (age, gender, race, and country of origin). They can even take a list of names, like from an article byline (e.g., “Andy Boothe and John Doe”) and separate them!
Based on statistical data about 7 billion people, its reverse-template statistical name parser reliably and accurately parses names in more than 30 writing systems (e.g., English, Spanish, Japanese, Hindi, Chinese, …), multiple naming traditions (e.g., Western, Eastern, etc.)
You can read If you’re curious to understand how it works, check out the What’s in a Name? blog series!
Location Resolution
HumanGraphics’ location resolver takes a country, state, or city name — formal or informal! — in more than 100 languages, and returns structured data about the location. It’s not a geocoder, but it’s perfect for resolving social media location fields.
Face Analyzer
HumanGraphics’ face analyzer converts a face into a structured demographic estimate with age, gender, and race. This is actually fairly unique in the market — most implementations aren’t capable of estimating race.
360° Analysis
You can even combine all three to provide an even more accurate demographic estimate! This ensemble approach is totally unique in the market.
If this looks interesting, take the API it for a test drive!
Applications
There are a boatload of applications, from marketing to machine learning to regulatory and governance. For example, demographics is an important ingredient to advanced segmentation and content personalization.
How do you want to use HumanGraphics? Let me know in the comments!