Version 3.0.0 beta
Pre-releaseSystem Requirements
New build 13 August, includes download services for two CLIP models. Please see AI in RawCull.
This is a beta release of RawCull ver. 3.0.0 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: c8ea8137d35e41e29811aab89c61c4bdf2101ebb9b8d53d5c083eef763ea5a33
Full Changelog: v2.3.3...v3.0.0