Filter sensitive information from text with Philter.
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}}}.
Industries
Philter is used by customers in the healthcare, financial, legal, and other industries.
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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.
API-driven
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.