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Premove ITN

Open-source context-aware ITN for voice agents

Details

External ID
1248803
Source
PH
Company
—
Product
Premove ITN
Website domain
producthunt.com
Launched
Sept. 14, 2026
Cohort
—
Upvotes
9
Upvotes percentile
0.9529345734445157
Tags
Open Source, Developer Tools, Artificial Intelligence, GitHub
Fetched at
Sept. 15, 2026, 1:01 a.m.
Updated at
Sept. 15, 2026, 1:01 a.m.

Description

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.

Enrichment

Theme
voice AI agents and infrastructure
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
open-source inverse text normalization for voice agents
Manually corrected
False

Could you build this?

Partial Inverse text normalization (ITN) across diverse entity types requires sophisticated deterministic weighted finite-state transducers (WFSTs) or specialized grammar rules to avoid LLM hallucinations.

What it would actually take: Production ITN engines (like NeMo ITN or Thrax) rely on Weighted Finite-State Transducers (WFSTs) compiled with OpenFst, or custom grammar-based AST parsers. The system requires rule-based grammar engineering across numbers, currencies, dates, alphanumeric codes, and phonetics to ensure 100% deterministic, low-latency (<5ms) token transformation before passing data to voice agent tools. Deep computational linguistics expertise and test suites covering tens of thousands of edge cases are required.

Competitors

Other products that read as similar to this one — 13 launches clear the similarity bar, closest 8 shown.

Attention rank: #1 of 14 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 186 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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