revonorm

Text normalization for TTS — converts written text (numbers, currency, dates, times, symbols) into spoken words across 5 languages: ms, id, en, zh, zh_my.

pip install revonorm

Use

from revonorm import normalize_text

normalize_text('Harga RM10.50 sahaja', 'ms')   # "Harga sepuluh ringgit lima puluh sen sahaja"
normalize_text('It costs $5.50', 'en')         # "It costs five dollar fifty cents"
normalize_text('价格是RM50，温度25C', 'zh')     # "价格是五十令吉，温度二十五摄氏度"
normalize_text('Rp5rb dan 5jt', 'id')          # "lima ribu rupiah dan lima juta"

API

normalize_text(text, language, profile=None, disable=None) → str

Language is required. Unknown codes raise ValueError.

Option What it does
profile "minimal", "basic", "standard", "aggressive"
disable Features to turn off, e.g. ["acronyms", "measurements"]

normalize(text, language, options_json="") → str

The same pipeline with config as JSON — pronunciation overrides live here:

normalize('top up RevoPay RM30K', 'ms', '{"pronunciations": {"*": {"RevoPay": "revo pay"}}}')
# "top up revo pay tiga puluh ribu ringgit"

normalize('sambung WiFi', 'ms', '{"pronunciations": {"*": {"WiFi": null}}}')
# "sambung WiFi"  (null = leave as written)

Pronunciations: "*" applies to all languages; a language code scopes it; null deletes the term.

supported_languages() → list[str]

supported_languages()   # ['en', 'id', 'ms', 'zh', 'zh_my']

Relationship to revo-norm

revonorm (this package) and revo-norm (pure Python) expose the same normalize_text(text, language=...) API and produce identical output. Consumers can switch between them without code changes.

Key dates

PyPI data
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  • Released:
Newer release available (1.0.0)

1 maintainer

PyPI data
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Avatar for revolab from gravatar.com revolab

Requires

Python >=3.9

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1.0.0

21 files

0.9.0

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0.8.5

6 files

This release

0.8.4 This release

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0.8.3

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0.8.2

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