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BlurData scans documents and images on Mac, flags PII automatically, and lets you review before redacting.
Grounded in available product and source data
Manually blurring an email address or account number out of a screenshot before sharing it is easy to forget — BlurData's answer is to redact sensitive info from screenshots automatically the moment a file is dropped into the app, rather than relying on a person to catch every detail by hand.
Detection runs on three layers: eight built-in categories cover emails, names, monetary amounts, account numbers and IBAN codes, physical addresses, license plates, IP addresses, and URLs; community presets add region-specific document types like US tax forms (SSN, EIN, routing numbers), German payslips, and Italian pay stubs; and a custom layer lets someone define their own regex patterns for things like API keys, JWTs, or internal ticket numbers that a generic detector wouldn't recognize. That last layer matters most for anyone redacting internal company documents where the sensitive strings aren't standard PII formats.
Everything runs on-device: the site states no file is uploaded to a cloud service and no internet connection is required for detection or rendering to work, which matters for anyone handling documents they can't risk sending to a third-party server. Before a redacted version gets exported, matches stay reviewable — a person can check what the app flagged rather than trusting an automatic pass blindly, which is worth doing given no automated PII detector catches everything with perfect accuracy.
BlurData is macOS-only, built specifically for macOS 13 (Ventura) and later on both Intel and Apple Silicon, and works with JPG, PNG, and PDF files. The site doesn't name face detection as one of its categories, and doesn't state a file-size or batch limit for the drag-and-drop workflow, so anyone processing a large volume of documents or needing to blur faces alongside text data should confirm those specifics directly before relying on it for a full redaction workflow.
No — the site states detection and redaction happen entirely on the machine itself, so the app works without a network connection at any point in the process.
The site doesn't name face detection among its supported categories — its stated detection covers text-based PII like emails, addresses, and account numbers, so a separate tool would be needed for blurring faces specifically.
No — beyond personal-data categories, the custom regex layer lets someone target non-PII strings like API keys, JWTs, or internal ticket numbers, which matters for redacting company documents where the sensitive content isn't a standard personal-data format.
Mac only — the site states it's a native macOS app requiring macOS 13 (Ventura) or later on Intel or Apple Silicon hardware, with no other operating system mentioned as supported.
Detected matches are highlighted and reviewable before export, so a redacted file isn't produced blindly — worth doing given automated detection can miss things a human reviewer would catch.
