A frictionless, local-first Mac app to index and search all your screenshots and image assets. Built with Rust/Tauri for zero footprint and powered by native macOS Vision for 10x OCR accuracy. Optional cloud, no tracking—just pure utility.
Hi PH community! 👋 I’m Safi, a solo builder and Portfolio Founder.
I built Mirowl because my own desktop was a graveyard of 'Screen Shot...' files. I wanted a way to manage these assets that felt native, stayed local-first, and didn't require a cloud subscription.
Why Mirowl?
🦉 Frictionless: It sits in your menu bar and works in the background.
🦀 Rust-Powered: Near-zero idle footprint and high-performance indexing.
🔍 10x Accuracy: We use native macOS Vision for deep text/code search.
🛡️ Privacy: 100% local. Your data never leaves your machine.
We just shipped v1.1.0 and I'm excited to get it into your hands. I'm here all day to answer questions and listen to your feedback. Let's kill the digital clutter together! 🚀
Awesome... this looks great.. i have some many screenshots and struggle to organize them
I like the local-first approach. Is Mirowl currently macOS-only, or are there plans for a Windows version in the future?
Built a K1 document OCR pipeline professionally and spent the last week generating hundreds of AI video storyboard screenshots across GPT and Kling. The screenshot search problem is real — I was manually scrolling through folders looking for specific reference images. Curious how Mirowl handles images with minimal text — like a cinematic still or a product photo with just a logo. Does the AI understand visual content beyond just OCR, or is it purely text extraction from images?
When you say local OCR powered AI, how much extra infra would it need to run?
Nice that everything happens on device, as i state with thoth, our devices have more computing power than the Apollo guidance computer so why offload computing to the cloud !
Quick question: does Mirowl rename the files or propose titles based on the content, or is it search-only? Auto-naming "Screen Shot 2026..." into something findable would be huge for me. To keep that local it could be done with apple intelligence
Local OCR is a smart call, especially for screenshots that often have personal stuff in them. Curious which engine you went with under the hood, Apple Vision or something custom? I work with on-device OCR too and the accuracy on dense text was the hardest part to get right.
About Mirowl on Product Hunt
“Search all your screenshots via a local OCR-powered AI”
Mirowl launched on Product Hunt on June 2nd, 2026 and earned 86 upvotes and 15 comments, placing #18 on the daily leaderboard. A frictionless, local-first Mac app to index and search all your screenshots and image assets. Built with Rust/Tauri for zero footprint and powered by native macOS Vision for 10x OCR accuracy. Optional cloud, no tracking—just pure utility.
Mirowl was featured in Mac (103.5k followers), Productivity (652.9k followers) and Artificial Intelligence (469.9k followers) on Product Hunt. Together, these topics include over 241.8k products, making this a competitive space to launch in.
Who hunted Mirowl?
Mirowl was hunted by Safi. 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 Mirowl stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Safi