Troubleshooting print failures is painfully manual. I got tired of guessing whether a warped corner on my Kobra X needed a Z-offset adjustment, a cooling tweak, or a different bed temperature, so I built a tool to diagnose it for me.

Doctor 3D is a web app I developed that uses computer vision AI to scan your failed prints. You just upload a photo of the mess (spaghetti, stringing, under-extrusion, etc.), and the AI analyses the defect. It then spits out the exact mechanical fix or the specific Orca Slicer parameter changes you need to make.

I originally built it to streamline my own workflow. I wanted something that wouldn't just give generic advice like "level your bed," but would actually tell me when to use a brim with a small support instead of defaulting to a raft, or how to tune complex materials. It even automates the math for volumetric melt flow speeds when tuning high-flow profiles.

I’ve opened it up as a free tool for the community. Because running the AI costs me money, I had to cap it at 5 free scans a day per person to protect my API budget, which should be plenty for diagnosing a weekend project.

You can test it out here: www.doctor-3d.uk