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What is Naix?

Naix is a cutting-edge AI-driven tool designed for the anonymization and redaction of documents, efficiently removing personally identifiable information with speed, accuracy, and security. Employing sophisticated methods such as machine learning, natural language processing, and linguistic modeling, Naix can effectively detect a variety of sensitive data types, including company names, legal documents, personal identities, geographical locations, email addresses, URLs, dates, identification numbers, images, and financial information. This adaptable tool works across multiple file formats, such as PDFs, Word and Excel files, emails, scanned documents, and images, and supports various languages, notably English, German, and French. By simplifying much of the anonymization workflow, Naix also allows users to manually redact specific information when necessary, providing flexibility for unique cases. Furthermore, it enables the application of predefined pseudonyms, ensuring context is preserved even when full anonymization is not possible. The intuitive interface of Naix guides users effortlessly from uploading their documents to reviewing the results and generating a secure output file, thus facilitating an efficient process throughout. In summary, Naix serves as a robust solution for organizations aiming to safeguard sensitive data while upholding their operational standards and integrity, making it a valuable asset in today's data-driven environment.

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

Media

No images available

Integrations Supported

Microsoft Excel
Microsoft Word

Integrations Supported

API Availability

Has API

API Availability

Has API

Pricing Information

€75 per month
Free Version
Free Trial Offered?

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

SaaS

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

Naix

Date Founded

2018

Company Location

Germany

Company Website

naix.ai/

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

Data Anonymization

Not specified

Categories and Features

AI Redaction

Not specified

PDF Redaction

Not specified

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