To start using MeaningCloud, the only thing you need is to create an account. This account gives you a subscription to our Free plan, which allows you to process up to 20k requests each month (up to 10M words!). Once you have your account, you will be assigned a license key which you will need to analyze any text.

MeaningCloud is at its very core a set of APIs — that is, application programming interfaces — that provide different text analytics functionalities. In much simpler words, they are web pages where you send some information (a license key and the text you want to analyze) and a response is returned with text analytics in a less friendly way than a webpage would do.

This is perfect for developers as it provides tons of flexibility to add text analytics anywhere, but it’s not exactly the best option for non-technical users (or technical users that do not feel like coding). To solve this, there are several integrations that provide that friendly response with exactly the information you need.

So how do you want to use MeaningCloud?


As we have mentioned before, APIs provide an incredible amount of flexibility. If your data is already included in a workflow or pipeline and you just want to add additional information to it in the form of insights extracted from it, this is the perfect option for you. Each one of our APIs provide a specific type of text analysis, so by combining several of them you can customize the information to extract.

  • You can check all our available APIs in their dashboard.
  • For each one of the APIs we provide three sections: extensive technical documentation, some developer tools and a test console.
    • In the technical documentation you will find all the information you may need about the parameters of the API, its response, as well as some examples. For instance, this is the technical documentation for the Sentiment Analysis API.
    • In the developer tools section, you will find simple examples of clients for that API in as many as 9 programming languages using different libraries. These are the clients for the Deep Categorization API.
    • The test console enables you to test quickly any text, URL or document you want with any combination of the input parameters of the API. It’s extremely useful when you are starting to work with MeaningCloud as you can see the response produced for any given input. This is the test console for the Topics Extraction API.
  • For those of you looking to quickly integrate MeaningCloud into your application, we’ve published in our GitHub account SDKs in three of the most popular languages: Java, Python and PHP. This kits will allow you to add easily a framework to your application where you will be able to include MeaningCloud’s analysis.
  • If you are already a RapidAPI user, you can use MeaningCloud from there too!


Our integrations provide access to the MeaningCloud analyses from different platforms, making them more accessible and removing the need for coding. Your choice of integration may depend on your needs or the tools you are working on:


We know how important it is to adapt text analytics to the specific scenario or domain you are working on, which is why we provide a myriad of possibilities to do this and reach the best results possible. For every API we provide predefined resources that let you analyze a number of generic scenarios, and all of them included in any of our plans (including the Free one!).

For those cases where you need something more specific, we’ve got you covered:

Data, privacy and security

MeaningCloud by default is a Software as a Service application, that is, any processing is done in the servers we have set up for this purpose. This means that when you analyze any text (no matter if you are using one of the text consoles or any of the integrations available), it’s sent to our servers where the analysis requested is done. We are aware of how important data privacy is, so we don’t store the texts sent for processing and we are very careful on how our client’s information is treated. You can read all the details of our data protection policy here.

Some users have very strict data policies, to the point where said data cannot leave their premises. For these cases, MeaningCloud is available as an on-premises deployment, where you can install a server or servers in your environment and do there all your text analytics. This way you can take advantage of MeaningCloud and ensure the confidentiality of your data.

Information security is extremely important to us, which is why we recently achieved ISO 27001 certification, as well as adhered to the Privacy Shield Framework.