Zoom up to 6× in the editor to mask tiny text on IDs, boarding passes, bank statements, and receipts with pixel-accurate precision. The export always uses the full original resolution — no need to reset zoom before exporting.
Redact Shield — Version 1.4
Cover private details before a photo leaves your phone.
Redact Shield finds and masks sensitive details — emails, phone numbers, card numbers, addresses, faces, and barcodes — then strips hidden EXIF and GPS metadata before you save, send, or post. Detection, editing, and export all happen on device. No account, no tracking, no uploads.
Drag to draw a precise box over any area. Covers exactly the region you outline in one gesture, with any mask style — ideal for multi-line addresses, tables, and signature blocks.
Build and save your own named PII-type presets. Choose exactly which detected fields to auto-mask for any document type you work with regularly. Custom profiles persist across sessions and appear alongside the built-in presets.
On-device Apple Vision reads text, then offline matchers classify emails, phone numbers, payment cards (Luhn-checked), IBANs, SSNs, addresses, license plates, dates, and IP addresses — plus faces and barcodes.
Every detected region shows as a tappable box. Mask one item at a time, or run Auto to cover everything that matches your profile. Now works precisely at any zoom level.
Blur and pixelation can be reversed by published tools. Sensitive fields default to a solid black bar — the only redaction that cannot be reconstructed — with one tap to make every mask solid.
Redact Shield shows what hidden metadata a photo carries on import and re-encodes a clean image on export, removing location, timestamp, and device tags.
Seven bundled profiles (Boarding Pass, Bank Statement, ID Card, Medical, Screenshot, Receipt, Auto) plus your own custom presets. Queue up to twelve photos and redact them all at once in batch mode.
No sign-in, no analytics, no advertising SDKs, and no network for core use. Everything stays on your device.
Why this matters
Why blur and pixelation can be reversed
Gaussian blur and mosaic pixelation are reversible transforms. Open-source research tools such as Bishop Fox's Unredacter and Depix have reconstructed pixelated text, and a strong-enough blur can be deconvolved. For true secrets — Social Security numbers, card numbers, account numbers — only a solid fill removes the underlying pixels so nothing can be recovered. Redact Shield defaults sensitive detections to solid coverage and includes a one-tap “Make all masks solid” control.