Redactify is an efficient data redaction tool that secures sensitive text using advanced NLP and rule-based methods. It combines transformer-based NER, regex, and Presidio analysis to detect and mask personal information through full redaction or partial masking—ensuring compliance while preserving data utility.

Redactify is a web application for redacting sensitive information from PDF documents. It is built with Next.js and TypeScript and styled using Tailwind CSS and components from shadcn/ui. Features PDF Upload – drag and drop or select a PDF file to begin. Manual redaction – click and drag to highlight areas that should be redacted.