Show HN: Fixxer – Local TUI to cull/organize RAW photos(CLIP, Qwen2.5-VL, rawpy) (github.com)

FIXXER has launched a new professional photography workflow automation tool designed to enhance the post-processing pipeline of photographers. This innovative platform utilizes advanced AI vision models and cryptographic techniques to ensure file integrity and streamline digital asset management. Key features include SHA256 integrity checks, JSON audit trails (.fixxer.json), and intelligent quality analysis through various AI algorithms like CLIP and BRISQUE. With the ability to automatically cull images into organized folders based on quality assessments and AI-generated metadata, FIXXER promises both efficiency and reliability with zero file corruption reported during extensive testing. This tool holds significant implications for the AI/ML community, particularly in its practical application of machine learning in digital photography. By integrating sophisticated models such as Qwen2.5-vl:3b for AI naming and quality evaluation, FIXXER illustrates the potential of AI to enhance creative workflows. Its cross-platform support and in-memory processing further eliminate redundancies, making it accessible and efficient for diverse users. This development not only accelerates the editing process but also offers detailed insights into image quality and composition, pushing the boundaries of what AI can achieve in professional creative fields.