
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.
Premove ITN is an open-source, context-aware inverse text normalizer designed for voice agents, transforming ASR transcripts into structured data formats. It employs a neural model for scoring and exact decoding to generate valid outputs, available as a Python package for real-time inference.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.