How To Create Language Detection Using An AI-Powered API?

The difference between a really successful application and one not so successful is often the number of languages it can support. in fact, having multi-language support in your software makes your application much more likely to be welcomed by millions of people around the world.

LanguageLayer is one of the market-leading language detection RESTful web services. LanguageLayer is powered by AI and also supports 173 languages.

Simple, Quick, Reliable & AI-Powered Language Detection

LanguageLayer API Features:

  • Accurate, Efficient & Lightning Fast automated language detection using any programming language 
  • Easy-to-use REST API delivered in lightweight JSON format
  • Single language detection queries or batch detection
  • No queueing 
  • No server load
  • Inexpensive subscription types 
  • Free subscription plan to test the LanguageLayer service

How do I integrate LanguageLayer API?

The LanguageLayer API is built upon a RESTful and easy-to-understand request and response structure. API requests always use a simple API request URL with a series of required and optional HTTP GET parameters. 

Want to get started?  First, you need to get your free API access key. After that, you can send requests to the endpoint:

How to do batch detection?

The LanguageLayer API also processes multiple query texts in a single API request. To make use of this feature, simply include the API’s batch endpoint and pass a series of the query into the API request URL:

 

After executing this batch request, the API returns single or multiple language detection results for each requested query text. Languagelayer returns results in the same order you specified in the API request. 

How to start a Node.js web app?

In this demonstration, we will create a simple Node.js app that fetches data from the LanguageLayer API and shows it to a user.

How to set up Node.js with LanguageLayer API?

Open your PowerShell or Bash if you are using Linux and type these commands to set up basic files for the project:

Now, go back to your terminal and write these commands to install the packages our project requires. It installs Express, axios and body-parser, as well as EJS.

 

Next, make sure you have these files and project folder structure.

Here is our Node.js web app source code:

Finally, this is the result:

It really is that simple to autodetect languages. Want to see more or try it yourself? Check out the whole project in this repository.

To learn more about Languagelayer API, head over to get your free subscription plan!