Blur Image Online – A free, client-side tool to blur images

Hacker News

I'm excited to share my first-ever side project: Blur Image Online. The idea came from my own need. I often had to share screenshots but needed to hide sensitive information first. Most online tools either uploaded my images to their servers, were slow, or full of ads. I wanted a simple, private, "open-and-use" tool, so I decided to build it myself. The most important feature for me is privacy. All the image processing happens entirely in your browser. Your images are never uploaded to any server. Current State & Future Plans: Right now, the tool is in its very first version. It can apply a blur effect to the entire image, and you can adjust the intensity. My immediate next goal is to add a brush feature to allow blurring of specific areas, which would make it much more useful. I'm still exploring the best way to implement this, and I would love to hear any thoughts or technical suggestions from the community. Since this is my first real project, I'm sure there is a lot of room for improvement. I would be incredibly grateful for any feedback, bug reports, or feature suggestions. Thanks for checking it out! The site: https://www.blurimageonline.com/

Visit product View on Hacker NewsSep 24, 2025

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: open · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

8%8% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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