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What is PII Anomalyzer?

PII Anomalyzer is a dedicated desktop application crafted to detect, anonymize, and redact personally identifiable information (PII) in documents, employing a unique dual-model AI system that functions entirely offline. This software is especially advantageous for professionals in legal, healthcare, finance, and compliance fields who prioritize confidentiality and cannot afford to share sensitive information with external cloud services or public AI platforms. Notable features include: - Support for a wide range of PII entity types, including names, Social Security numbers, financial account numbers, medical identifiers, addresses, dates, and customizable patterns. - Four different de-identification techniques: Redact, Replace, Highlight, and Mask. - Proprietary dual-model AI that delivers enhanced accuracy relative to conventional single-model alternatives. - Compatibility with various file formats such as native and scanned PDFs, DOCX, XLSX, XLS, XLSM, XLSB, and plain text files. - Built-in optical character recognition (OCR) capabilities for the effective processing of scanned documents. - A re-identification mode that enables users to restore contextual information from AI outputs, contractor submissions, or reviewer feedback. - The capacity to handle multiple documents simultaneously for improved efficiency. By operating completely offline, the software guarantees that no telemetry is sent, ensuring that all data remains securely stored on your device. Offered at a price of $249 annually, it includes a 7-day free trial and is compatible with both Windows and macOS, making it a flexible option for organizations committed to safeguarding sensitive information. Additionally, regular updates and customer support enhance the overall user experience, further solidifying its value for those handling PII.

What is Occlira?

Occlira proficiently removes personal and confidential information from legal documents before they are shared or used with external AI services, while also allowing for the subsequent restoration of that information. This software supports analysis of .docx and .pdf file formats, adeptly identifying various details such as names, addresses, email addresses, phone numbers, identification numbers, tax IDs, IBANs, case identifiers, and corporate names by utilizing a localized machine learning model tailored for the German, Austrian, and Swiss markets. All processing occurs on the user's device, ensuring that no documents are sent to external servers. Recognized entities are replaced with standardized placeholders like [PERSON_1] or [COMPANY_A], preserving the text's readability and context. The mapping of the identified data is securely stored locally, facilitating a reversible workflow: users can anonymize a contract, leverage it with AI tools like ChatGPT or Claude, and seamlessly reintegrate the original names into the document afterward. Each detection is subject to user confirmation before execution, and the formatting of the output is consistent with the original document's layout. This solution is accessible as a signed desktop application for both Windows and macOS, provided under a straightforward one-time licensing arrangement. Moreover, users can enjoy heightened privacy, assured that their data remains secure throughout the entire procedure, reinforcing the importance of data protection in today's digital landscape.

Media

Media

Integrations Supported

Integrations Supported

Claude Desktop
Google Chrome
Microsoft Word

API Availability

API Availability

Pricing Information

$249/year (7-day free trial)
Free Trial Offered?

Pricing Information

$159
Free Trial Offered?

Supported Platforms

Windows
Mac

Supported Platforms

Windows
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Southwest Management Technology

Date Founded

2000

Company Location

United States

Company Website

www.piianomalyzer.ai/

Company Facts

Organization Name

Occlira

Date Founded

2026

Company Location

Cyprus

Company Website

occlira.com

Categories and Features

Categories and Features

Data Anonymization

Not specified

Data Masking

Not specified

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