Philter identifies and removes Personally Identifiable Information (PII) and Protected Health Information (PHI) from natural language (unstructured) text.

  • Philter is available on AWS, Azure, and Google Cloud.

Capabilities of Philter

  • Philter uses state-of-the-art natural language processing (NLP) and trained neural networks to identify PII and PHI in text.
  • Philter can replace PII and PHI with similar but random values. With consistent anonymization, documents can remain useful for secondary purposes by not losing meaning.
  • Customizable filter profiles give full control over how PII and PHI is identified and manipulated.
  • Supports logic to manipulate PII and PHI based on conditions such as zip code population and textual content.
  • Can optionally store locations of identified PII and PHI in text to a database for future reference.


Philter is an application that finds and removes PII and PHI in natural language text. The types of PII and PHI that it looks for and how those types of PII and PHI are replaced are configurable. Philter was designed this way to allow it to be integrated into virtually any type of existing systems and processes in addition to popular big-data applications such as Apache NiFi, Apache Kafka, and AWS Kinesis.

Compare Editions

Philter is available in two editions. The primary difference in the two editions is that the Enterprise edition includes support for usage of Philter with streaming applications.

 Standard EditionEnterprise Edition
Customizable PHI and PII Filtering Yes Yes
Anonymization via Random Value Replacement Yes Yes
Works with Philter Studio Yes - includes 5 licenses Yes - includes 25 licenses
Works with Filter Profile Registry Yes Yes
Apache Kafka Integration Yes
Apache NiFi Integration Yes
Apache Pulsar Integration Yes
SupportLimited Email SupportPriority Email Support
AvailabilityAWS Marketplace
Azure Marketplace
GCP Marketplace
Direct Download
CostStarts at $0.79 / hour
Billed through your cloud platform
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Example Solutions

The blog posts and articles linked below provide example solutions using Philter to find and remove PII and PHI.


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