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What is RedactSense?

RedactSense is a versatile software application available for both Mac and Windows that utilizes on-device artificial intelligence to automatically detect and permanently remove sensitive information from a wide range of documents, thereby ensuring that personal data is kept secure without being sent to external servers. Users can upload PDFs or scanned images with ease, enabling the local AI system to identify sensitive details such as personal identifiers, financial information, and identification numbers among others. Unlike basic pattern-matching tools, this application comprehends context and natural language, effectively handling complex layouts that feature tables and multi-column designs. Once sensitive content is identified, it is entirely removed from both the document and its metadata, rather than simply being covered with an overlay that could be reversed. Users have the option to review the flagged content, make any necessary edits, and then export a sanitized version of their document. Operating entirely offline, the application eliminates the need for account creation and complies with HIPAA and GDPR regulations, which reinforces users' trust in its adherence to privacy standards. Moreover, this comprehensive functionality establishes RedactSense as an indispensable resource for anyone looking to protect sensitive information in their documents while ensuring a user-friendly experience.

What is Censory?

Censory is an innovative online AI solution that specializes in redacting various document types, including PDFs, images, and scanned pages. It proficiently detects sensitive data such as personal names, identification numbers, addresses, financial details, faces, stamps, and signatures, providing users with suggested redactions to evaluate. Users can easily choose to accept or reject these suggestions, tweak their selections, and finalize their documents after a thorough review of each page. Unlike basic overlays, Censory ensures that the selected content is permanently eliminated from the document and includes a detailed redaction report with the finished file. This tool proves invaluable for legal disclosures and document sharing within law firms, courts, public institutions, and businesses managing contracts, human resources records, or customer data. Notably, users can also upload photos taken on their mobile devices without the need for a scanner, which adds to its convenience. Each credit permits the redaction of one PDF page or a single uploaded image, and users can choose between monthly subscriptions or one-time credit purchases. Furthermore, Censory enhances the efficiency of the redaction process, catering to users who frequently handle sensitive information, ultimately ensuring their data privacy and compliance are maintained. With its user-friendly interface, Censory invites a broader range of users to manage their document redactions effortlessly.

Media

No images available

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

€9/month
A free allowance includes 10 credits. The Personal plan is €9/month for 300 credits; higher monthly plans are also available. One credit covers one PDF page or one uploaded image. One-off credit top-ups are available.
Free Version

Supported Platforms

Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

RedactSense

Date Founded

2026

Company Location

United States

Company Website

redactsense.com

Company Facts

Organization Name

TECHNICAL INSIDE S.R.L.

Date Founded

2026

Company Location

Romania

Company Website

censory.app/

Categories and Features

AI Redaction

Not specified

Categories and Features

AI Redaction

Not specified

PDF Redaction

Not specified

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