DataBlur blurs sensitive data on your screen in real time — during live calls, demos and recordings. Auto-detects emails, cards and API keys. 100% local: no cloud, no AI, no signup. When detection fails, it blurs more, not less.
Hey PH! 👋
DataBlur exists because redacting leaks *after* the fact is a losing game — one missed frame in a recording and the data is out.
So it flips the order: hide the data *before* it's captured.
- Click any element or drag an area to blur it — live, while you present
- Auto-detection catches emails, phone numbers, cards, passwords and API keys you'd miss under pressure
- Blur, Redact or Transparent styles; a blur list for your own keywords/regex
- Fail-safe by design: if detection breaks, it blurs everything rather than exposing everything
- 100% local processing. No cloud, no AI, no account. It can't leak what it never receives
Everything above is free. Pro ($4.99/mo or $39 lifetime) removes the badge on auto-applied blurs and adds saved per-client profiles.
Would love feedback — especially from anyone doing client demos or screen recordings daily.
Detection is based on deterministic rules or some local small ML-model? Should I setup a rules for my projects before sharing or DataBlur will just do the work?
What’s the false-positive rate feel like in daily use? And what to do if overbluring happens during a demo?
Congrats on launching DataBlur! Blurring more instead of less when in doubt is such a smart move. Are shortcuts (or Stream Deck support) on your roadmap for quick toggles during calls?
About DataBlur on Product Hunt
“Blur sensitive data on screen before anyone sees it”
DataBlur launched on Product Hunt on August 7th, 2026 and earned 123 upvotes and 11 comments, placing #9 on the daily leaderboard. DataBlur blurs sensitive data on your screen in real time — during live calls, demos and recordings. Auto-detects emails, cards and API keys. 100% local: no cloud, no AI, no signup. When detection fails, it blurs more, not less.
DataBlur was featured in Productivity (657.9k followers), Marketing (466.9k followers) and Privacy (11.2k followers) on Product Hunt. Together, these topics include over 238.2k products, making this a competitive space to launch in.
Who hunted DataBlur?
DataBlur was hunted by Kosta Zanin. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how DataBlur stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kosta Zanin