⏺ Hey Product Hunt 👋

I built DesktopRedact after seeing how painful document redaction still is for UK legal and compliance teams. The options are either Adobe Acrobat (slow, entirely manual you're squinting at pages looking for names you might have missed), or cloud tools that mean uploading privileged client documents to someone else's server. For anyone handling DSARs, disclosure bundles, or patient records, neither is really acceptable.

So I built the thing I thought should exist:

• Open a PDF or Word doc and it auto-detects PII — names, NHS/NI numbers, UK postcodes, sort codes, passport numbers, emails, addresses, the lot
• Review each detection with one keypress (approve, dismiss, next)
• OCR built in for scanned PDFs Apple Vision on macOS, Tesseract on Windows/Linux
• Export with a plain-text audit log alongside every file — SHA-256 chain-of-custody hash, DSAR exemption reason codes, reviewer sign-off, UTC timestamps
• Runs 100% locally on macOS, Windows, and Linux. No uploads, no account required, works offline

The stack: Tauri 2 + Vue 3 on the front, Python sidecar with spaCy + Microsoft Presidio for detection. Free tier for occasional use, paid tiers unlock batch processing and higher page quotas licence verified locally with Ed25519, no phone-home.

Would love feedback — especially from anyone who's dealt with DSARs, disclosure, or redacting sensitive records. What's the most painful part of your current workflow?
And what PII types or languages should I prioritise next?

— Marcin

DesktopRedact — DSAR Response Automation

Redact PDFs locally — AI-powered, offline, audit-ready

Redact PDFs locally — AI-powered, offline, audit-ready