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.
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