Automatically hide sensitive data in screenshots and PDFs.
What it does
Automatically detects sensitive data like emails, names, and financial amounts in images and documents.
Processes PDFs and screenshots entirely on-device to ensure maximum privacy.
Supports batch processing for multiple files to speed up workflow efficiency.
Permanently removes sensitive content from file structures rather than just masking them.
Why it works
Pricing model offers flexible flat-rate yearly and lifetime purchase options.
Positioning focuses on strict local offline processing for compliance-heavy workflows.
Technical advantage relies on on-device machine learning detection models.
Distribution leverages direct web sales and macOS ecosystem channels.
Automatically hide sensitive data in screenshots and PDFs.
Overview
BlurData is a macOS utility application that automatically detects and redacts sensitive information in images, screenshots, and PDFs. Operating entirely offline, it uses advanced algorithms to identify private text elements such as email addresses, names, financial amounts, and IP addresses without uploading files to the cloud. The platform streamlines document sharing and bug reporting while maintaining high standards of data privacy.
Founded year:2024
Founder:Ivan Ancona
Team size:1
Popularity:1,000+ monthly visitors
HQ:United States
Status:Active
Funding status:Bootstrapped
Customer type:B2B
Pricing:Subscription
Tech stack:Swift, macOS AppKit, On-device ML
Platform:Web
Integrations:macOS Finder
What it does
Automatically detects sensitive data like emails, names, and financial amounts in images and documents.
Processes PDFs and screenshots entirely on-device to ensure maximum privacy.
Supports batch processing for multiple files to speed up workflow efficiency.
Permanently removes sensitive content from file structures rather than just masking them.
Who it's for
Software Developers
Support Teams
HR Professionals
Financial Advisors
Why it works
Pricing model offers flexible flat-rate yearly and lifetime purchase options.
Positioning focuses on strict local offline processing for compliance-heavy workflows.
Technical advantage relies on on-device machine learning detection models.
Distribution leverages direct web sales and macOS ecosystem channels.
Founder story
BlurData was created by solo developer Ivan Ancona to solve the common problem of accidentally sharing sensitive information in screenshots and PDFs during work and tutorials. Built for macOS, the app aims to deliver instant, offline data redaction without tedious manual censoring.
Alternatives
Comparison overview
BlurData performs 100% local, on-device processing to redact sensitive data from images and PDFs without cloud reliance.
Alternative redaction tools frequently depend on cloud servers for document processing and AI scanning.