Version 3.1.1 beta
Pre-releaseSystem Requirements
New build 26 August, includes download services for two CLIP models. Please see AI in RawCull.
This is a beta release of RawCull ver. 3.1.1 which includes a downloadable model for CLIP (in AI Settings). CLIP replaces similarity by Vision and also enables semantic search.
- macOS Golden Gate latest beta (public or developer)
- Apple Silicon (M-series) only
RawCull is a robust, native macOS application developed using Swift and SwiftUI for macOS Tahoe. Specifically designed for photographers, it simplifies the photo culling process, enabling users to swiftly identify and retain only their most exceptional photographs.
The release on GitHub may be more current than the release on the Apple App Store. The builds on both platforms are identical, and the GitHub release is signed and notarized by Apple.
Please refer to the release notes for further details.
SHA 256: a8ff004734383b1b05fc7fd18748912620356b110fb010f462a51b8fead132a3
Full Changelog: v2.3.3...v3.1.1