In this tutorial, you will learn how to use Text Anonymization API in 5 minutes using Python. Eden AI provides an easy and developer-friendly API that allows you to anonymize your texts.
Text Anonymization can be used to protect sensitive or personal identifiable information (PII) in textual data. The API processes text data as input and returns anonymized or masked text data as output. This involves removing or replacing personal identifiers such as names, addresses, phone numbers, and email addresses. The anonymization process is crucial for protecting the privacy and confidentiality of individuals and organizations.
Text Anonymization APIs use natural language processing (NLP) techniques or predefined rules to identify and mask sensitive information. They are commonly used in chatbots, virtual assistants, customer support systems, and data analysis tools to prevent personal information from being disclosed or exposed to unauthorized parties.
The first step is to install Python's requests package, that will allow you to call Eden AI API.
Next, you'll need to install Python's JSON package in order to be able to read and print the result of the API request.
You are now ready to process text into Eden AI Text Anonymization API. You can access the list of languages supported in our documentation here.
To perform Text Anonymization, you'll need to create an account on Eden AI for free. Then, you will be able to get your API key directly from the homepage with free credits offered by Eden AI.
Now that you have imported packages on Python and got your API key, you will be able to anonymize your text. With Eden AI, you can choose from a wide range of engines you want for Text Anonymization. You can access the list of Text Anonymization providers available on Eden AI directly on our documentation.
Here is the Python script you need to write on your notebook:
For example, we called two different Text Anonymization engines. Eden AI API will then return in its JSON response results of those providers.
Once the request is done, you will be able to get the result with this print:
Here is an example of a Text Anonymization API response:
As you can see, using Text Anonymization with Eden AI API is quick and easy.
We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specific features of each provider.
The JSON output format is the same for all suppliers thanks to Eden AI's standardisation work. The response elements are also standardised thanks to Eden AI's powerful matching algorithms.
With Eden AI you have the possibility to integrate a third-party platform: we can quickly develop connectors. To go further and customize your Text Anonymization request with specific parameters, check out our documentation.