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SecuRedact

Securely Anonymize and Redact Documents Locally

Freemium
Screenshot of SecuRedact

Description

SecuRedact provides a robust solution for securely anonymizing and redacting sensitive information within documents and images. It operates primarily locally on the user's device, ensuring that confidential data does not need to be uploaded to external servers, thereby maximizing privacy and security. The tool is designed for efficiency and boasts a high F1 score for accuracy in detecting and removing various types of sensitive entities.

Supporting a wide array of file formats, from standard documents and spreadsheets to presentations, PDFs, and images, SecuRedact offers flexibility for different user needs. It automatically identifies entities such as names, organizations, locations, contact details, financial information, and can even blur faces in images. For maximum security, a downloadable client enables completely offline processing.

Key Features

  • Local Processing: Ensures data privacy by performing redaction directly on the user's device.
  • High Accuracy: Achieves a 95.25% F1 score for precise detection and redaction of sensitive data.
  • Wide File Format Support: Compatible with documents (.doc, .docx, .pdf, .txt), spreadsheets (.xlsx, .xls, .csv), presentations (.ppt, .pptx), images (.jpg, .png, etc.), and .zip files.
  • Multiple Entity Recognition: Automatically identifies and redacts Persons, Organizations, Locations, Emails, Phone Numbers, Dates, BSN, IBAN, IPs, Credit Cards, Postal Codes, SWIFT, ABA Routing Numbers, and more.
  • Automatic Face Blurring: Detects and anonymizes faces in image files.
  • Offline Client Available: Offers a downloadable application for completely offline redaction.
  • API Access: Available in the Enterprise plan for workflow integration.
  • Batch Processing: Available in Professional and Enterprise plans for handling multiple files simultaneously.

Use Cases

  • Anonymizing legal documents before sharing.
  • Redacting personal identifiable information (PII) from research papers or reports.
  • Securing financial documents by removing sensitive numbers (IBAN, Credit Cards).
  • Preparing datasets for GDPR or other privacy regulation compliance.
  • Blurring faces in images for privacy protection in publications or internal use.
  • Removing confidential data from business presentations or spreadsheets.

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