AI Text Anonymization API

What it does

Text Anonymizer removes personal or sensitive details from plain text and returns an anonymized response object. Send a text string in the request body, optionally set language, and choose requested_service to use either apyhub or azure. If you use Azure directly, you can also pass custom azure credentials such as key, region, endpoint, account_id, or access_token.

Use it when you need to process support tickets, chat logs, notes, or other free-form text before storing or sharing them. It fits privacy workflows where names, phone numbers, and similar identifiers should be hidden before data leaves a trusted boundary.

The response returns a data object with either an azure payload or an apyhub payload, depending on the service you request. That makes it suitable for pipelines that need a privacy-preserving text step without changing the rest of the document flow.

Text Anonymizer is a good fit for compliance, redaction, and internal analytics where you want the content to remain useful while reducing exposure of sensitive information.