Pixcull is a local-first, on-device AI application designed for professional photographers. It automates the tedious process of photo culling using a sophisticated 6-axis rubric for scoring images based on quality, composition, and relevance. The tool exports metadata in XMP and IPTC formats and is compatible with Lightroom and Capture One workflows. As an open-source Python package, it emphasizes privacy by running entirely locally without sending images to the cloud.
pixcull sits in PulseGate's AI & ML category. Manually reviewing and rating thousands of raw photos from a shoot to decide which ones to keep and edit. It is built as an open-source project for professional photographers. pixcull is open source under the MIT license. pixcull is available on the command line, and it can be self-hosted.
Behind pixcull is ChrisChen667788, and it first shipped in 2026. Development happens publicly on GitHub with 105 stars and 398 commits in the last 90 days. Key capabilities include AI Photo Culling, 6-Axis Rubric, and XMP Export.
Summary written by a language model from the project’s public pages.
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