AI workflow
AI-assisted culling
Find the sharpest, best-exposed, least-duplicated frames while keeping the photographer in control.
A proposed stack, open to challenge
The baseline combines proven open-source imaging tools with focused experiments in local AI. Vote on what should be investigated first.
AI workflow
Find the sharpest, best-exposed, least-duplicated frames while keeping the photographer in control.
AI workflow
Search a local photo library using ordinary descriptions, dates, places, and visual concepts.
AI workflow
Suggest keywords, descriptions, titles, captions, OCR text, and accessible alt text.
Photography
Reliable camera and card import with verification, naming, backup, and RAW workflow presets.
Privacy
Run supported AI models locally on capable hardware without uploading an image library.
Photography
Calibration, ICC profiles, soft proofing, and predictable printing from a curated desktop.
Accessibility
Optional Persian, Arabic, Kurdish, Urdu, and right-to-left user experience support.
Learning
A plain-language assistant for editing concepts, system setup, troubleshooting, and learning.
The local AI promise
The project will evaluate what can run well on ordinary hardware, publish realistic requirements, and clearly identify any feature that needs optional cloud processing. AI should reduce repetitive work without taking authorship away from the photographer.
See the staged roadmap →