imagic - AI photo culling + RAW editing you own for $10, not rent

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imagic culls big shoots with AI (scores sharpness, exposure & detail, flags duplicates) AND does your batch RAW edits + export - in one desktop app that runs 100% locally. The twist: it's a one-time $10, not a subscription. Aftershoot & FilterPixel are monthly, Lightroom is monthly; imagic you buy once and own. Free 7-day trial, no card. Windows, macOS, Linux.

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Hi PH! I'm Luke, maker of imagic. I got tired of two things: paying Adobe every month, and paying another monthly subscription (Aftershoot/FilterPixel) just to cull my own photos. So I built imagic - a desktop app that does AI culling AND batch RAW editing in one place, runs 100% locally, and costs $10 once instead of $15/month forever. It scans your RAW folders, scores every shot for sharpness/exposure/detail, flags duplicates, keeps your best frames, then batch-edits and exports in the background. Windows, Mac, Linux. Free 7-day trial, no card. It's early and still has a few quirks - I'm building it in the open toward Lightroom-level polish - so I'd genuinely love your honest feedback, especially from high-volume shooters. What would make this a no-brainer switch for you? I'm here all day.

Does the AI culling actually learn from your accept/reject choices over time, or is it purely rule-based on sharpness and exposure metrics?

 Good question, and it's a bit of both. Out of the box, every frame gets a score from sharpness, exposure, detail, noise, composition, faces and whether the subject is actually in focus, and the card shows you each of those so you can see why it made the call.

On top of that it does learn from you. Every time you flip one of its keep/trash decisions, that correction is saved locally, and once there are a few of them it re-weights those factors and shifts the keep/trash cut-offs toward what you actually keep. Say you keep a lot of slightly soft frames: sharpness stops dragging them into the trash. It keeps a separate profile for people and for action/sports, since the rules differ, and the duplicates view learns which frame of a burst you tend to pick. It all lives on your machine, nothing is uploaded.


It's a gentle, capped adjustment rather than retraining a neural network, so a handful of odd clicks can't wreck it, and it kicks in on your next analysis or re-cut.


Luke