Philter vs PrivacyScrubber

Philter is open-source software for finding and redacting personally identifiable information and protected health information in text. For detected entities, users can choose to mask, encrypt, replace with synthetic values, remove, or pass them through. Policies, custom dictionaries, and identifier patterns such as medical record numbers and transaction IDs let teams configure what to detect and how to handle it. General Purpose, Healthcare, and COVID-19 NLP lenses address different types of text. Philter provides an HTTP REST API, a Java SDK, and an OpenAPI specification for generating clients in other languages. It can run in a private environment or through AWS, Google Cloud, and Microsoft Azure marketplaces. The maker says text stays in the customer’s environment, including firewalled or air-gapped deployments. Redaction requests are recorded in a tamper-evident, hash-chained audit log that can be queried and exported to CSV. Detection is probabilistic, so results should be checked against an organization’s own data before production use. The open-source toolkit has community support; commercial licenses include direct support.

PrivacyScrubber is a cloud-deployed web tool for removing sensitive information from documents and images. It combines automated detection, OCR redaction, batch processing, and an audit trail. Listed inputs are PDF, DOCX, XLSX, CSV, TXT, and images. A free plan requires no card and permits 15,000 characters per scrub, 5,000 specialized-profile characters per session, three PDF pages per session, and three document uploads every 24 hours. PRO costs $15.00 per month and covers up to three personal devices; PRO Lifetime costs $110.00 once with the same device limit. TEAMS costs $99.00 per month as a flat rate with unlimited seats. Developer SDK plans cost $199.00 per month or $1,990.00 per year and list unlimited production nodes. The monthly SDK plan includes a free local development quota. A 14-day trial is listed.