Avalw Shield Reviews & Ratings

Avalw Shield

5.0 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Ratings and Reviews 4 Ratings

Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is BlurData?

BlurData is a specialized application designed to protect sensitive information in screenshots and PDF files. It features automatic detection and the ability to obscure confidential data such as email addresses, financial details, personal names, account numbers, residential addresses, license plates, IP addresses, and website URLs. Users can effortlessly import images using a simple drag-and-drop interface, which streamlines the process. The app also allows for quick exports in PNG format, making it easy to share the modified content with others. Operating offline, BlurData ensures that your information remains secure on your device, eliminating the risk of uploading data to external servers. It supports commonly used image formats like JPG and PNG and is compatible with macOS versions 13 and later. Recently, the application expanded its functionality by including support for PDF documents, further bolstering its ability to safeguard sensitive files. Users are empowered to select specific data to blur and have the option to undo actions, providing them with full control over their privacy. Overall, with its robust features, BlurData emerges as an essential tool for individuals seeking to protect their visual information in a variety of formats. This makes it a valuable asset for anyone who prioritizes confidentiality in their digital interactions.

What is Avalw Shield?

Avalw Shield is an innovative privacy application tailored for Mac and Windows users that leverages on-device technology to automatically lock your screen when you step away and to obscure your display when someone comes too close. By harnessing the power of your device's camera and facial recognition capabilities, the app can detect your absence and secure your screen in just a few seconds. When you return, it quickly recognizes your face, unlocking the screen seamlessly without any need for manual intervention. Moreover, Shoulder Guard has the ability to detect unauthorized viewers and can instantly blur the screen's content, with adjustable settings that allow it to respond to anywhere from 1 to 5 bystanders. Importantly, all the processing is conducted locally on your device, preserving your privacy by ensuring that no images are stored, no data is sent elsewhere, and no cloud services are involved. The facial recognition information is kept as a mathematical representation rather than as a traditional photograph, adding another layer of security. Once you activate the app with a one-time purchase, it operates completely offline, enhancing its safety features. Avalw Shield is readily accessible for download from both the Mac App Store and the Microsoft Store, allowing users to easily bolster their privacy. With this tool, individuals can confidently navigate their surroundings, knowing their privacy is consistently protected from prying eyes.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$39 per year
Free Trial Offered?

Pricing Information

$199
Free Trial Offered?

Supported Platforms

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

BlurData

Company Website

blurdata.app/

Company Facts

Organization Name

Avalw

Date Founded

2025

Company Location

Romania

Company Website

shield.avalw.ai/

Categories and Features

PDF Redaction

Not specified

Categories and Features

Computer Security

Compliance Management
Financial Data Protection
Real Time Monitoring

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