Premove ITN is an open-source, context-aware inverse text normalizer built for voice agents.

It turns messy ASR transcripts into structured values APIs can actually use: phone numbers, dates, times, amounts, IDs, emails, URLs, and more.

Instead of generating normalized text directly, it deterministically produces valid candidates, uses a neural model to score them in sentence context, and applies exact decoding to choose compatible outputs. Open weights, Python package, real-time inference.

Demo Video: https://www.youtube.com/watch?v=CfpoZSUg3Pc
(Since, peerlist wouldn't let me upload a video)