A few weeks ago, I launched SupportSage (AI-optimized support structures) and FilamentDB (filament parameter database). Together they covered pre-print optimization: what settings to use and how to slice .

But the feedback loop was incomplete. You optimize, slice, print — and then what? How do you know if the print is actually good?

You eyeball it. Maybe post to r/3Dprinting and ask "what's wrong with my print?".

I wanted a programmatic answer. One CLI command, one photo.

Meet Printsight 🖨️👁️

pip install https://github.com/bossman-lab/printsight/releases/download/v0.1.0/printsight-0.1.0-py3-none-any.whl

printsight my_print.jpg

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The Three Detectable Defects

Printsight v0.1 detects three of the most common print quality issues, all with pure OpenCV — no ML, no training data, no GPU:

1.…