I've seen a lot of synthetic data tools recently that require "training" on real data. But what if you don't have real data yet? Or what if you need to test how your parser handles invalid data?
I built Synthed to be a lightweight, deterministic alternative. It doesn't use AI—it uses industry schemas. You get high-fidelity HL7, X12, and FIX data (and the ability to intentionally corrupt it) with zero privacy risk.
Check out the MIT repo: https://github.com/bbuckle1959/synthed
Test it, alter it, copy it - go mad! It's released under MIT licence
As for the post title, I asked Gemini where would be the best place to post this - and it suggested here.