Filter sensitive information from text with Philter.


Philter finds and removes sensitive information, such as PII and PHI, from text. Philter works by looking for sensitive information in your text. When found, the sensitive information is filtered through redaction, encryption, or replacement.

An Example

Here’s an example of text filtered by Philter:

Patient {{{REDACTED-person}}} ID {{{REDACTED-id}}} was admitted on {{{REDACTED-date}}}.


Philter is used by customers in the healthcare, financial, legal, and other industries.

Get Started

Launch Philter on the AWS Marketplace Launch Philter on the Azure Marketplace
Launch Philter on the Google Cloud Marketplace Launch Philter as Docker containers

 Click here for the Philter Quick Start Guide.

Customizable types of sensitive information

Philter can find persons names, phone numbers, SSNs and other unique identifiers, and many more types of sensitive information.

State-of-the-art NLP

Philter uses state-of-the-art natural language processing technology to analyze the text. Philter’s NLP models are trained and refined for optimal performance. We have specialized models for healthcare and COVID-19 models.


Philter’s API allows it to be used virtually anywhere. Open source SDKs are available for Java, .NET, and Go or use Philter directly from the command line.

Filter sensitive information from text.

Get a Free Philter License Key

We will provide a free license key that allows for unlimited use of Philter’s capabilities. We will be glad to assist while you try Philter.

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