Real-time folder watching
Watch any folder in real time and automatically index incoming screenshots, downloads, or design assets. The app can either archive files into a central library or index them where they already sit.
mirowl is a local-first AI screenshot and visual memory app for macOS. It watches folders, extracts text from images, and helps users organize and search screenshots and other visual files by content and context.
mirowl is an AI screenshot and visual memory app for macOS, built to watch folders, index images, and make screenshot libraries searchable. It combines local OCR, automatic categorization, and source-aware tagging so you can find images by text, app, or context instead of by filename.
The product is positioned as local-first: core features run on your Mac, files stay on your machine, and cloud AI is optional. The homepage also shows a Windows waitlist, so the publicly available app is currently Mac-only while Windows support is still coming soon.
Watch any folder in real time and automatically index incoming screenshots, downloads, or design assets. The app can either archive files into a central library or index them where they already sit.
Use OCR to make image text searchable, then search by content, source app, or URL so you can return to the original context of a screenshot.
Let mirowl automatically tag the source app and URL for captured images, preserving context that is often lost in screenshot folders.
Use local AI categorization for private processing, or opt into cloud-based image understanding on Pro for richer descriptions and metadata.
Keep processing on-device by default. The site describes mirowl as local-first, with OCR and search running locally and no account required.
Use the app to clean up a cluttered desktop by routing files into a structured mirowl library with archive rules.
Keep desktop screenshots, downloads, and other visual files organized without manual drag-and-drop. mirowl watches folders in real time and can route files into a library automatically.
Find a screenshot by the words inside it, even when the filename is meaningless. OCR and search-by-content make it easier to recover code snippets, notes, receipts, or reference images.
Track the app and source context behind captured images so you can return to the original workflow. This is useful when screenshots come from browsers, Slack, or development tools.
Manage design assets or working files in place while still building a searchable visual archive. The app can index folders without necessarily moving every file into one central location.
Use local processing for sensitive screenshots or opt into cloud image understanding on Pro when richer descriptions are worth it. That gives individual users a privacy-conscious way to separate routine and advanced workflows.
Your files stay on your hard drive. mirowl is described as a local-first app, and its FAQ says original high-resolution images are not stored on mirowl's servers, even when cloud AI features are used.
Yes. The source says the core features — folder watching, local OCR, and basic categorization — work offline. Cloud-powered deep analysis requires an internet connection and a Pro subscription.
You can watch any folder on your computer. The homepage specifically mentions Desktop, Screenshots, Downloads, Work, and Design folders as examples.
No. The FAQ says personal screenshots are not used for training. It also notes that local processing uses pre-trained models, while cloud processing uses the Gemini API.
Pro licenses are hardware-locked to a single device, but you can deactivate one device and move the license to another in the app's settings.
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