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Blurwise: Offline Face Blur
Auto-detect and blur faces in video — nothing gets uploaded
Drop in one video or fifty. Set a couple of options. Blurwise finds every face and blurs it — automatically, across every frame. AI detection handles the faces; tracking keeps them covered when they turn, walk out of frame, or come back. No keyframing, no masks, no timeline work. And your videos never leave your computer. Everything runs locally on your Windows machine — no upload, no cloud, no account. The footage you drop in is the only copy that ever exists.
Top comment
Hi PH 👋 I built Blurwise for a very specific problem I had: I needed to present video footage at a conference — recordings of children, shown to illustrate their behaviour to an audience of professionals. The content mattered. Their faces didn't, and weren't mine to show. Every option was bad. Blurring by hand in a video editor meant keyframing faces across hundreds of frames. The online tools meant uploading footage of children to somebody else's server, which I wasn't going to do. So Blurwise does this instead: you drop in one video or fifty, set a couple of options, and it finds every face and blurs it automatically. AI detection finds them, tracking follows them when they turn or walk out of frame and come back. No masks, no timeline work. Three things I care about: 🔒 Your videos never leave your computer. Everything runs locally on Windows. No upload, no cloud, no account. The file you drop in is the only copy that ever exists. 💳 One-time licence, no subscription. You buy it once. It keeps working. ⚡ It's boring to use, on purpose. Two options and a button. It's not a video editor and doesn't want to be. I'm a solo developer and this is my first launch, so I'd really like feedback: on the detection accuracy, the pricing, the name, anything. I'll be here all day answering. Thanks for taking a look
About Blurwise: Offline Face Blur on Product Hunt
“Auto-detect and blur faces in video — nothing gets uploaded”
Blurwise: Offline Face Blur was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #85 on the daily leaderboard. Drop in one video or fifty. Set a couple of options. Blurwise finds every face and blurs it — automatically, across every frame. AI detection handles the faces; tracking keeps them covered when they turn, walk out of frame, or come back. No keyframing, no masks, no timeline work. And your videos never leave your computer. Everything runs locally on your Windows machine — no upload, no cloud, no account. The footage you drop in is the only copy that ever exists.
On the analytics side, Blurwise: Offline Face Blur competes within Windows, Privacy and Video — topics that collectively have 25.8k followers on Product Hunt. The dashboard above tracks how Blurwise: Offline Face Blur performed against the three products that launched closest to it on the same day.
Who hunted Blurwise: Offline Face Blur?
Blurwise: Offline Face Blur was hunted by Luca Tardioli. 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.
For a complete overview of Blurwise: Offline Face Blur including community comment highlights and product details, visit the product overview.