RawCull Documentation

Welcome to RawCull

RawCull is a robust, native macOS application developed using Swift and SwiftUI for macOS Tahoe. Tailored specifically for photographers, it simplifies the photo culling process, enabling users to swiftly identify and retain only their most exceptional photographs. The initial version exclusively supports culling Sony A1 mkI and mkII RAW files.

Security & Privacy: RawCull is digitally signed and notarized by Apple to protect against tampering. It runs as a sandboxed application, ensuring your data and system remain secure.

Key Features

• High Performance: Developed natively with Swift and SwiftUI, optimized for Apple Silicon-based Macs, utilizing only Apple’s official Swift and SwiftUI frameworks, eliminating the need for third-party libraries
• User-Friendly Interface: Intuitive controls designed for efficient culling workflows
• Privacy-First: All data remains on your Mac, eliminating cloud synchronization and data collection
• Security: Digitally signed and notarized by Apple, it is also a sandboxed application, providing enhanced security
• Free and Open Source: Available under the MIT license
• Non-Destructive: It only reads ARW files, creating and storing thumbnails separately in the sandbox
• Small application: The DMG file with the application is less than 3MB in size

The actual copy of ARW files from source to destination is non-destructive. It utilizes the default /usr/bin/rsync as part of macOS. Prior to the actual copy of files, a --dry-run parameter can be employed to simulate the files that will be copied to the destination.

Installation

RawCull is distributed as an Apple Silicon build only. You can download the latest version from GitHub Releases.

For security, please verify the SHA-256 hash after downloading. Current updates and release notes are available in the changelog.