AI-powered screenshot assistant for macOS and Windows.
What it does
Indexes screenshots, downloads, and design assets automatically using local-first processing.
Uses AI-powered OCR to make text and code within images searchable.
Provides quick access to your image library directly from the system menu bar.
Prioritizes privacy by performing all indexing and processing on-device without cloud dependencies.
Why it works
Local-first architecture keeps sensitive visual data private and off the cloud.
Near-zero idle footprint ensures the tool runs efficiently in the background without draining system resources.
Automated indexing removes the need for manual file naming, tagging, or complex folder structures.
Instant searchability of text and code inside images drastically speeds up retrieval for visual assets.
AI-powered screenshot assistant for macOS and Windows.
Overview
Mirowl is a local-first AI screenshot assistant designed to automate the organization of visual libraries. It enables users to make screenshots, downloads, and design assets searchable through AI-powered OCR and image indexing. By prioritizing local processing, it ensures user privacy while streamlining the management of visual assets directly from the menu bar.
Founded year:2026
Team size:1
Popularity:Niche utility tool for visual asset management.
Indexes screenshots, downloads, and design assets automatically using local-first processing.
Uses AI-powered OCR to make text and code within images searchable.
Provides quick access to your image library directly from the system menu bar.
Prioritizes privacy by performing all indexing and processing on-device without cloud dependencies.
Who it's for
Creative Professionals
Designers
Software Developers
Privacy-conscious users
Why it works
Local-first architecture keeps sensitive visual data private and off the cloud.
Near-zero idle footprint ensures the tool runs efficiently in the background without draining system resources.
Automated indexing removes the need for manual file naming, tagging, or complex folder structures.
Instant searchability of text and code inside images drastically speeds up retrieval for visual assets.
Founder story
Mirowl was developed to solve the chaos of disorganized screenshot folders and the privacy concerns associated with cloud-based image organization tools. By leveraging on-device machine learning, the project aims to provide a fast, secure, and intuitive way for users to manage their visual assets without compromising their data sovereignty.
Alternatives
Comparison overview
Unlike cloud-dependent tools, Mirowl is 100% local-first, ensuring data privacy and offline functionality.
It focuses on AI-powered search for existing assets rather than simple screen capture features.