Convert numbers and currency amounts into words across 116 locales with production-ready BigInt, ordinal, and TypeScript support.
Try it now: Open Interactive Demo
Test locale behavior, currency conversion, ordinals, and large number inputs in the browser.
- 116 locale implementations with region-specific numbering and currency conventions
- Built for real financial flows: amount in words, decimals, currency units, and negatives
- Large number safe with
BigIntand string input support - Run anywhere: Node.js, Deno, Bun, Cloudflare Workers, and all modern browsers
- Functional API —
toWords(42, { localeCode: 'en-US' })for one-liners, or class-based for high-volume workloads - Strong developer ergonomics: TypeScript types, ESM/CJS/UMD, and per-locale imports
- Performance focused for high-volume conversion workloads
- Use Cases
- Features
- Quick Start
- Installation
- Usage
- Migration Guide
- CLI
- Framework Integration
- Numbering Systems
- API Reference
- Bundle Sizes
- Performance
- Browser Compatibility
- Supported Locales
- Error Handling
- Contributing
- FAQ
- Changelog
- License
- Invoicing & Billing — Display amounts in words on invoices, receipts, and financial documents
- Check Printing — Banks and financial institutions require amounts in words for check validation
- E-commerce — Show order totals in words for clarity and accessibility
- Legal Documents — Contracts and agreements often require written-out amounts
- Educational Apps — Teach number pronunciation and spelling in different languages
- Accessibility — Screen readers benefit from properly formatted number-to-text conversion
- Localization — Support global users with region-specific number formatting
- 116 Locales — The most comprehensive locale coverage available
- BigInt Support — Handle numbers up to 10^63 (Vigintillion) and beyond
- Multiple Numbering Systems — Short scale, Long scale, Indian, and East Asian
- Currency Formatting — Locale-specific currency with fractional units
- Ordinal Numbers — First, Second, Third, etc.
- Tree-Shakeable — Import only the locales you need
- TypeScript Native — Full type definitions included
- Multiple Formats — ESM, CommonJS, and UMD browser bundles
- Zero Dependencies — Lightweight and self-contained
- High Performance — Up to 4.7M ops/sec (small integers; see benchmark section for full breakdown)
- Functional API —
toWords(),toOrdinal(),toCurrency()named exports for ergonomic one-liners - Auto Locale Detection —
detectLocale()readsnavigator.languageorIntlin any runtime - CLI —
npx to-words 12345 --locale en-USfor shell scripts and quick conversions - Wide Compatibility — All modern browsers, Node.js 20+, Deno, Bun, and Cloudflare Workers
There are three ways to use to-words. Pick the one that fits your use case:
1. Class-based — best for high-volume workloads where you reuse one instance:
import { ToWords } from 'to-words';
const tw = new ToWords({ localeCode: 'en-US' });
tw.convert(12345); // "Twelve Thousand Three Hundred Forty Five"
tw.convert(100, { currency: true }); // "One Hundred Dollars Only"
tw.toOrdinal(3); // "Third"2. Functional (full bundle) — one-liners with a localeCode option, all 116 locales available:
import { toWords, toOrdinal, toCurrency } from 'to-words';
toWords(12345, { localeCode: 'en-US' }); // "Twelve Thousand Three Hundred Forty Five"
toCurrency(100, { localeCode: 'en-US' }); // "One Hundred Dollars Only"
toOrdinal(3, { localeCode: 'en-US' }); // "Third"3. Functional (per-locale import) — locale baked in, fully tree-shakeable, smallest bundle (~3.5 KB gzip):
import { toWords, toOrdinal, toCurrency } from 'to-words/en-US';
toWords(12345); // "Twelve Thousand Three Hundred Forty Five"
toCurrency(100); // "One Hundred Dollars Only"
toOrdinal(3); // "Third"Default locale: When no
localeCodeis provided, the runtime locale is auto-detected viadetectLocale()and falls back toen-INif it cannot be matched.
Runtime requirement: Node.js
>= 20.Moving from another library? See
MIGRATION.md.
npm install to-words
# or
yarn add to-words
# or
pnpm add to-words<!-- Full bundle with all locales -->
<script src="https://cdn.jsdelivr.net/npm/to-words/dist/umd/to-words.min.js"></script>
<!-- Single locale bundle (smaller, recommended) -->
<script src="https://cdn.jsdelivr.net/npm/to-words/dist/umd/en-US.min.js"></script>// Class-based — ESM
import { ToWords } from 'to-words';
// Class-based — CommonJS
const { ToWords } = require('to-words');
// Functional helpers (full bundle) — ESM
import { toWords, toOrdinal, toCurrency, detectLocale } from 'to-words';
// Functional helpers (per-locale, tree-shakeable) — ESM
import { toWords, toOrdinal, toCurrency } from 'to-words/en-US';
// Per-locale class — ESM
import { ToWords } from 'to-words/en-US';Class-based:
const tw = new ToWords({ localeCode: 'en-US' });
tw.convert(123); // "One Hundred Twenty Three"
tw.convert(123.45); // "One Hundred Twenty Three Point Four Five"
tw.convert(123.045); // "One Hundred Twenty Three Point Zero Four Five"Functional (full bundle):
import { toWords } from 'to-words';
toWords(123, { localeCode: 'en-US' }); // "One Hundred Twenty Three"
toWords(123.45, { localeCode: 'en-US' }); // "One Hundred Twenty Three Point Four Five"Functional (per-locale):
import { toWords } from 'to-words/en-US';
toWords(123); // "One Hundred Twenty Three"
toWords(123.45); // "One Hundred Twenty Three Point Four Five"Note: When the fractional part starts with zero, digits after the decimal point are converted individually.
Handle numbers beyond JavaScript's safe integer limit:
const toWords = new ToWords({ localeCode: 'en-US' });
// Using BigInt
toWords.convert(1000000000000000000n);
// "One Quintillion"
toWords.convert(1000000000000000000000000000000000000000000000000000000000000000n);
// "One Vigintillion"
// Using string for precision
toWords.convert('9007199254740993');
// "Nine Quadrillion Seven Trillion One Hundred Ninety Nine Billion
// Two Hundred Fifty Four Million Seven Hundred Forty Thousand Nine Hundred Ninety Three"Class-based:
const tw = new ToWords({ localeCode: 'en-IN' });
tw.convert(452, { currency: true });
// "Four Hundred Fifty Two Rupees Only"
tw.convert(452.36, { currency: true });
// "Four Hundred Fifty Two Rupees And Thirty Six Paise Only"
// Without "Only" suffix
tw.convert(452, { currency: true, doNotAddOnly: true });
// "Four Hundred Fifty Two Rupees"
// Ignore decimal/fractional part
tw.convert(452.36, { currency: true, ignoreDecimal: true });
// "Four Hundred Fifty Two Rupees Only"
// Ignore zero currency
tw.convert(0.36, { currency: true, ignoreZeroCurrency: true });
// "Thirty Six Paise Only"
// Show fractional unit even when zero (string input preserves .00)
tw.convert('452.00', { currency: true, includeZeroFractional: true });
// "Four Hundred Fifty Two Rupees And Zero Paise Only"Functional — toCurrency() shorthand:
import { toCurrency } from 'to-words';
toCurrency(452, { localeCode: 'en-IN' });
// "Four Hundred Fifty Two Rupees Only"
toCurrency(452.36, { localeCode: 'en-IN' });
// "Four Hundred Fifty Two Rupees And Thirty Six Paise Only"
toCurrency(452, { localeCode: 'en-IN', doNotAddOnly: true });
// "Four Hundred Fifty Two Rupees"Functional per-locale (locale baked in, no localeCode needed):
import { toCurrency } from 'to-words/en-IN';
toCurrency(452); // "Four Hundred Fifty Two Rupees Only"
toCurrency(452.36); // "Four Hundred Fifty Two Rupees And Thirty Six Paise Only"Override currency settings while keeping the locale's language:
const toWords = new ToWords({
localeCode: 'en-US',
converterOptions: {
currency: true,
currencyOptions: {
name: 'Euro',
plural: 'Euros',
symbol: '€',
fractionalUnit: {
name: 'Cent',
plural: 'Cents',
symbol: '',
},
},
},
});
toWords.convert(100.5);
// "One Hundred Euros And Fifty Cents Only"Class-based:
const tw = new ToWords({ localeCode: 'en-US' });
tw.toOrdinal(1); // "First"
tw.toOrdinal(21); // "Twenty First"
tw.toOrdinal(100); // "One Hundredth"Functional — toOrdinal() (full bundle):
import { toOrdinal } from 'to-words';
toOrdinal(1, { localeCode: 'en-US' }); // "First"
toOrdinal(21, { localeCode: 'en-US' }); // "Twenty First"
toOrdinal(100, { localeCode: 'en-US' }); // "One Hundredth"Functional per-locale:
import { toOrdinal } from 'to-words/en-US';
toOrdinal(1); // "First"
toOrdinal(21); // "Twenty First"Note: Full ordinal word mappings are available for English, Spanish, French, Portuguese, Turkish, and Dutch locales. Other locales use suffix-based ordinals.
Every locale entry point (to-words/<locale>) exports four things:
| Export | Type | Description |
|---|---|---|
ToWords |
class | Full class API pre-configured for this locale |
toWords |
function | Convert number → words |
toOrdinal |
function | Convert number → ordinal words |
toCurrency |
function | Convert number → currency words |
// Class-based (locale pre-configured, no localeCode needed)
import { ToWords } from 'to-words/en-US';
const tw = new ToWords();
tw.convert(12345); // "Twelve Thousand Three Hundred Forty Five"
// Functional helpers (locale baked in — smallest possible import)
import { toWords, toOrdinal, toCurrency } from 'to-words/en-US';
toWords(12345); // "Twelve Thousand Three Hundred Forty Five"
toOrdinal(3); // "Third"
toCurrency(100); // "One Hundred Dollars Only"Individual imports are ~3.5 KB gzip vs ~58 KB for the full bundle.
<!-- Single locale (recommended, ~3.5 KB gzip) -->
<script src="https://cdn.jsdelivr.net/npm/to-words/dist/umd/en-US.min.js"></script>
<script>
// ToWords is pre-configured for en-US
const toWords = new ToWords();
console.log(toWords.convert(12345));
// "Twelve Thousand Three Hundred Forty Five"
</script>
<!-- Full bundle with all locales (~58 KB gzip) -->
<script src="https://cdn.jsdelivr.net/npm/to-words/dist/umd/to-words.min.js"></script>
<script>
// Specify locale when using full bundle
const toWords = new ToWords({ localeCode: 'fr-FR' });
console.log(toWords.convert(12345));
// "Douze Mille Trois Cent Quarante-Cinq"
</script>Two flavours depending on whether you need tree-shaking:
Full bundle — localeCode is optional; omit it to use the auto-detected runtime locale:
import { toWords, toOrdinal, toCurrency } from 'to-words';
// Explicit locale
toWords(12345, { localeCode: 'en-US' });
// "Twelve Thousand Three Hundred Forty Five"
toOrdinal(21, { localeCode: 'en-US' });
// "Twenty First"
toCurrency(1234.56, { localeCode: 'en-IN' });
// "One Thousand Two Hundred Thirty Four Rupees And Fifty Six Paise Only"
// No localeCode — uses detectLocale() automatically
toWords(12345);
// result depends on the runtime locale (e.g. 'en-US' → "Twelve Thousand Three Hundred Forty Five")
toCurrency(1234.56, { doNotAddOnly: true });
// currency in the runtime locale, without "Only" suffixPer-locale import — locale baked in, no localeCode argument at all, fully tree-shakeable (~3.5 KB gzip):
import { toWords, toOrdinal, toCurrency } from 'to-words/en-US';
toWords(12345); // "Twelve Thousand Three Hundred Forty Five"
toOrdinal(21); // "Twenty First"
toCurrency(1234.56); // "One Thousand Two Hundred Thirty Four Dollars And Fifty Six Cents Only"Performance note: The functional API creates one
ToWordsinstance per call. For high-frequency hot paths (invoice loops, real-time input), prefer a shared class instance.
detectLocale() is automatically used by toWords(), toOrdinal(), and toCurrency() when no localeCode is provided — so in most cases you don't need to call it directly. It is useful when you want to read the runtime locale for other purposes, display it to the user, or pass it explicitly to a class instance.
import { detectLocale, toWords, ToWords } from 'to-words';
// Used implicitly — no localeCode needed
toWords(1000);
// On a browser with navigator.language = 'fr-FR': "Mille"
// In a Node.js process with fr-FR locale: "Mille"
// Fallback when nothing can be detected: "One Thousand" (en-IN)
// Used explicitly — read once, reuse across many calls
const locale = detectLocale('en-US'); // custom fallback if detection misses
const tw = new ToWords({ localeCode: locale });
tw.convert(1000);Reads
navigator.languagein browsers,Intl.DateTimeFormat().resolvedOptions().localein Node.js / Deno / Bun / CF Workers. Falls back to'en-IN'(or your custom fallback) if the detected value cannot be matched to a supported locale.
Migrating from number-to-words, written-number, num-words, or n2words?
- See
MIGRATION.mdfor side-by-side API mapping and migration recipes. - Includes package comparison, behavior notes, and a regression checklist.
Run one-off conversions from the command line without installing:
npx to-words 12345
# Twelve Thousand Three Hundred Forty Five
npx to-words 12345 --locale en-US
# Twelve Thousand Three Hundred Forty Five
npx to-words 1234.56 --locale en-US --currency
# One Thousand Two Hundred Thirty Four Dollars And Fifty Six Cents Only
npx to-words 3 --locale en-US --ordinal
# Third
npx to-words --detect-locale
# en-US (or whatever your system locale is)Once installed globally (npm i -g to-words), the to-words command is available directly.
// Change the locale import to match your users' region (e.g. 'to-words/en-GB' for UK)
import { ToWords } from 'to-words/en-US';
const toWords = new ToWords();
function PriceInWords({ amount }: { amount: number }) {
const words = toWords.convert(amount, { currency: true });
return <span className="price-words">{words}</span>;
}
// Usage: <PriceInWords amount={1234.56} />
// Renders: "One Thousand Two Hundred Thirty Four Dollars And Fifty Six Cents Only"<script setup lang="ts">
import { computed } from 'vue';
import { ToWords } from 'to-words/en-US';
const props = defineProps<{ amount: number }>();
const toWords = new ToWords();
const words = computed(() => toWords.convert(props.amount, { currency: true }));
</script>
<template>
<span class="price-words">{{ words }}</span>
</template>import { Pipe, PipeTransform } from '@angular/core';
import { ToWords } from 'to-words/en-US';
@Pipe({ name: 'toWords', standalone: true })
export class ToWordsPipe implements PipeTransform {
private toWords = new ToWords();
transform(value: number, currency = false): string {
return this.toWords.convert(value, { currency });
}
}
// Usage: {{ 1234.56 | toWords:true }}<script lang="ts">
import { ToWords } from 'to-words/en-US';
export let amount: number;
const toWords = new ToWords();
$: words = toWords.convert(amount, { currency: true });
</script>
<span class="price-words">{words}</span>// Server Component (App Router) — locale from request headers or user profile
import { toWords } from 'to-words';
type Props = { amount: number; locale: string };
export default function AmountInWords({ amount, locale }: Props) {
return <p>{toWords(amount, { localeCode: locale, currency: true })}</p>;
}// Client Component — dynamic locale switching
'use client';
import { useState } from 'react';
import { toCurrency, detectLocale } from 'to-words';
export function CurrencyDisplay({ amount }: { amount: number }) {
const [locale, setLocale] = useState(detectLocale('en-US'));
return (
<div>
<select value={locale} onChange={(e) => setLocale(e.target.value)}>
<option value="en-US">English (US)</option>
<option value="fr-FR">French</option>
<option value="hi-IN">Hindi</option>
<option value="ar-AE">Arabic</option>
</select>
<p>{toCurrency(amount, { localeCode: locale })}</p>
</div>
);
}import express from 'express';
import { toWords, toCurrency, detectLocale } from 'to-words';
const app = express();
app.get('/convert', (req, res) => {
const number = String(req.query.number ?? '');
const locale = String(req.query.locale ?? detectLocale());
const currency = req.query.currency === 'true';
try {
const result = currency ? toCurrency(number, { localeCode: locale }) : toWords(number, { localeCode: locale });
res.json({ result, locale });
} catch (e) {
res.status(400).json({ error: (e as Error).message });
}
});Different regions use different numbering systems. This library supports all major systems:
Used in: USA, UK, Canada, Australia, and most English-speaking countries.
| Number | Name |
|---|---|
| 10^6 | Million |
| 10^9 | Billion |
| 10^12 | Trillion |
| 10^15 | Quadrillion |
| ... | ... |
| 10^63 | Vigintillion |
const toWords = new ToWords({ localeCode: 'en-US' });
toWords.convert(1000000000000000000n);
// "One Quintillion"Used in: Germany, France, and many European countries.
| Number | German | French |
|---|---|---|
| 10^6 | Million | Million |
| 10^9 | Milliarde | Milliard |
| 10^12 | Billion | Billion |
| 10^15 | Billiarde | Billiard |
const toWords = new ToWords({ localeCode: 'de-DE' });
toWords.convert(1000000000);
// "Eins Milliarde"Used in: India, Bangladesh, Nepal, Pakistan.
| Number | Name |
|---|---|
| 10^5 | Lakh |
| 10^7 | Crore |
| 10^9 | Arab |
| 10^11 | Kharab |
| 10^13 | Neel |
| 10^15 | Padma |
| 10^17 | Shankh |
const toWords = new ToWords({ localeCode: 'en-IN' });
toWords.convert(100000000000000000n);
// "One Shankh"
const toWordsHindi = new ToWords({ localeCode: 'hi-IN' });
toWordsHindi.convert(100000000000000000n);
// "एक शंख"Used in: Japan, China, Korea.
| Number | Character |
|---|---|
| 10^4 | 万 (Man/Wan) |
| 10^8 | 億 (Oku/Yi) |
| 10^12 | 兆 (Chō/Zhao) |
| 10^16 | 京 (Kei/Jing) |
| 10^20 | 垓 (Gai) |
const toWords = new ToWords({ localeCode: 'ja-JP' });
toWords.convert(100000000);
// "一 億"interface ToWordsOptions {
localeCode?: string; // Default: 'en-IN'
converterOptions?: {
currency?: boolean; // Default: false
ignoreDecimal?: boolean; // Default: false
ignoreZeroCurrency?: boolean; // Default: false
doNotAddOnly?: boolean; // Default: false
includeZeroFractional?: boolean; // Default: false
currencyOptions?: {
name: string;
plural: string;
symbol: string;
fractionalUnit: {
name: string;
plural: string;
symbol: string;
};
};
};
}Converts a number to words.
- number:
number | bigint | string— The number to convert - options:
ConverterOptions— Override instance options - returns:
string— The number in words
Converts a number to ordinal words.
- number:
number— The number to convert (must be non-negative integer) - returns:
string— The ordinal in words (e.g., "First", "Twenty Third")
All four functional helpers are available from the full bundle (to-words) and from every per-locale entry point (to-words/<locale>). When importing from to-words/<locale>, the locale is already baked in and localeCode is not accepted.
Converts a number to words.
- number:
number | bigint | string— The number to convert - options (full bundle):
ConverterOptions & { localeCode?: string }— WhenlocaleCodeis omitted,detectLocale()is called automatically - options (per-locale):
ConverterOptions - returns:
string
import { toWords } from 'to-words';
toWords(12345, { localeCode: 'en-US' }); // explicit locale
toWords(12345); // auto-detects runtime locale
import { toWords } from 'to-words/en-US';
toWords(12345); // locale baked in, no detection neededConverts a number to ordinal words.
- number:
number— Must be a non-negative integer - options (full bundle):
OrdinalOptions & { localeCode?: string }— WhenlocaleCodeis omitted,detectLocale()is called automatically - options (per-locale):
OrdinalOptions - returns:
string
import { toOrdinal } from 'to-words';
toOrdinal(21, { localeCode: 'en-US' }); // explicit locale
toOrdinal(21); // auto-detects runtime locale
import { toOrdinal } from 'to-words/en-US';
toOrdinal(21); // locale baked inShorthand for converting a number to currency words. Equivalent to toWords(number, { currency: true, ...options }).
- number:
number | bigint | string - options (full bundle):
ConverterOptions & { localeCode?: string }— WhenlocaleCodeis omitted,detectLocale()is called automatically - options (per-locale):
ConverterOptions - returns:
string
import { toCurrency } from 'to-words';
toCurrency(1234.56, { localeCode: 'en-US' }); // explicit locale
toCurrency(1234.56); // auto-detects runtime locale
import { toCurrency } from 'to-words/en-US';
toCurrency(1234.56); // locale baked inReads the current runtime locale.
-
In browsers: reads
navigator.language -
In Node.js / Deno / Bun / CF Workers: reads
Intl.DateTimeFormat().resolvedOptions().locale -
Normalises BCP 47 tags (e.g.
zh-Hant-TW→zh-TW) and falls back to a language-prefix match -
fallback (optional):
string— Returned when no supported locale can be matched. Default:'en-IN' -
returns:
string— A supported locale code
import { detectLocale } from 'to-words';
detectLocale(); // e.g. 'en-US', 'fr-FR', 'ja-JP'
detectLocale('en-GB'); // custom fallback if detection fails
detectLocaleis only available from the full bundle (to-words), not from per-locale entry points.
| Option | Type | Default | Description |
|---|---|---|---|
currency |
boolean | false | Convert as currency with locale-specific formatting |
ignoreDecimal |
boolean | false | Ignore fractional part when converting |
ignoreZeroCurrency |
boolean | false | Skip zero main currency (e.g., show only "Thirty Six Paise") |
doNotAddOnly |
boolean | false | Omit "Only" suffix in currency mode |
includeZeroFractional |
boolean | false | When input is a string like "123.00", include "And Zero Paise" even though the decimal is zero |
currencyOptions |
object | undefined | Override locale's default currency settings |
const toWords = new ToWords({ localeCode: 'en-US' });
toWords.convert(1234.56, {
currency: true,
ignoreDecimal: false,
doNotAddOnly: true,
});
// "One Thousand Two Hundred Thirty Four Dollars And Fifty Six Cents"| Import Method | Raw | Gzip |
|---|---|---|
| Full bundle (all locales) | 654 KB | 60 KB |
| Single locale (en-US) | 12 KB | 3.5 KB |
| Single locale (en-IN) | 10 KB | 3.4 KB |
Tip: Use tree-shakeable imports or single-locale UMD bundles for the smallest bundle size.
Benchmarked on Apple M2 (Node.js 23):
| Operation | Throughput |
|---|---|
| Small integers (42) | ~4.7M ops/sec |
| Medium integers (12,345) | ~2.2M ops/sec |
| Large integers (15 digits) | ~700K ops/sec |
| Currency conversion | ~1M ops/sec |
| BigInt (30+ digits) | ~225K ops/sec |
Run benchmarks locally:
npm run bench| Browser | Version |
|---|---|
| Chrome | 67+ |
| Firefox | 68+ |
| Safari | 14+ |
| Edge | 79+ |
| Opera | 54+ |
BigInt Support: BigInt is required for full functionality. Internet Explorer is not supported.
| Runtime | Support |
|---|---|
| Node.js | 20+ |
| Deno | 1.28+ |
| Bun | 1.0+ |
| Cloudflare Workers | ✅ |
The library uses only standard ECMAScript features (BigInt, Intl, Map) with zero Node.js-specific APIs, making it compatible with any modern JavaScript runtime.
All 116 locales with their features:
| Locale | Language | Country | Currency | Scale | Ordinal |
|---|---|---|---|---|---|
| af-ZA | Afrikaans | South Africa | Rand | Short | ✓ |
| am-ET | Amharic | Ethiopia | ብር | Short | ✓ |
| ar-AE | Arabic | UAE | درهم | Short | ✓ |
| ar-LB | Arabic | Lebanon | ليرة | Short | ✓ |
| ar-MA | Arabic | Morocco | درهم | Short | ✓ |
| ar-SA | Arabic | Saudi Arabia | ريال | Short | ✓ |
| az-AZ | Azerbaijani | Azerbaijan | Manat | Short | ✓ |
| be-BY | Belarusian | Belarus | Рубель | Short | ✓ |
| bg-BG | Bulgarian | Bulgaria | Лев | Short | ✓ |
| bn-IN | Bengali | India | টাকা | Short | ✓ |
| ca-ES | Catalan | Spain | Euro | Short | ✓ |
| cs-CZ | Czech | Czech Republic | Koruna | Short | ✓ |
| da-DK | Danish | Denmark | Krone | Long | ✓ |
| de-AT | German | Austria | Euro | Long | ✓ |
| de-CH | German | Switzerland | Franken | Long | ✓ |
| de-DE | German | Germany | Euro | Long | ✓ |
| ee-EE | Estonian | Estonia | Euro | Short | ✓ |
| el-GR | Greek | Greece | Ευρώ | Short | ✓ |
| en-AE | English | UAE | Dirham | Short | ✓ |
| en-AU | English | Australia | Dollar | Short | ✓ |
| en-BD | English | Bangladesh | Taka | Indian | ✓ |
| en-CA | English | Canada | Dollar | Short | ✓ |
| en-GB | English | United Kingdom | Pound | Short | ✓ |
| en-GH | English | Ghana | Cedi | Short | ✓ |
| en-HK | English | Hong Kong | Dollar | Short | ✓ |
| en-IE | English | Ireland | Euro | Short | ✓ |
| en-IN | English | India | Rupee | Indian | ✓ |
| en-JM | English | Jamaica | Dollar | Short | ✓ |
| en-KE | English | Kenya | Shilling | Short | ✓ |
| en-LK | English | Sri Lanka | Rupee | Short | ✓ |
| en-MA | English | Morocco | Dirham | Short | ✓ |
| en-MM | English | Myanmar | Kyat | Short | ✓ |
| en-MU | English | Mauritius | Rupee | Indian | ✓ |
| en-MY | English | Malaysia | Ringgit | Short | ✓ |
| en-NG | English | Nigeria | Naira | Short | ✓ |
| en-NP | English | Nepal | Rupee | Indian | ✓ |
| en-NZ | English | New Zealand | Dollar | Short | ✓ |
| en-OM | English | Oman | Rial | Short | ✓ |
| en-PH | English | Philippines | Peso | Short | ✓ |
| en-PK | English | Pakistan | Rupee | Indian | ✓ |
| en-SA | English | Saudi Arabia | Riyal | Short | ✓ |
| en-SG | English | Singapore | Dollar | Short | ✓ |
| en-TT | English | Trinidad and Tobago | Dollar | Short | ✓ |
| en-TZ | English | Tanzania | Shilling | Short | ✓ |
| en-UG | English | Uganda | Shilling | Short | ✓ |
| en-US | English | USA | Dollar | Short | ✓ |
| en-ZA | English | South Africa | Rand | Short | ✓ |
| en-ZW | English | Zimbabwe | Zimbabwe Gold | Short | ✓ |
| es-AR | Spanish | Argentina | Peso | Short | ✓ |
| es-CL | Spanish | Chile | Peso | Short | ✓ |
| es-CO | Spanish | Colombia | Peso | Short | ✓ |
| es-ES | Spanish | Spain | Euro | Short | ✓ |
| es-MX | Spanish | Mexico | Peso | Short | ✓ |
| es-US | Spanish | USA | Dólar | Short | ✓ |
| es-VE | Spanish | Venezuela | Bolívar | Short | ✓ |
| fa-IR | Persian | Iran | تومان | Short | ✓ |
| fi-FI | Finnish | Finland | Euro | Short | ✓ |
| fil-PH | Filipino | Philippines | Piso | Short | ✓ |
| fr-BE | French | Belgium | Euro | Long | ✓ |
| fr-CA | French | Canada | Dollar | Long | ✓ |
| fr-FR | French | France | Euro | Long | ✓ |
| fr-MA | French | Morocco | Dirham | Long | ✓ |
| fr-SA | French | Saudi Arabia | Riyal | Long | ✓ |
| gu-IN | Gujarati | India | રૂપિયો | Short | ✓ |
| ha-NG | Hausa | Nigeria | Naira | Short | ✓ |
| hbo-IL | Biblical Hebrew | Israel | שקל | Short | ✓ |
| he-IL | Hebrew | Israel | שקל | Short | ✓ |
| hi-IN | Hindi | India | रुपया | Indian | ✓ |
| hr-HR | Croatian | Croatia | Euro | Short | ✓ |
| hu-HU | Hungarian | Hungary | Forint | Short | ✓ |
| id-ID | Indonesian | Indonesia | Rupiah | Short | ✓ |
| is-IS | Icelandic | Iceland | Króna | Short | ✓ |
| it-IT | Italian | Italy | Euro | Short | ✓ |
| ja-JP | Japanese | Japan | 円 | East Asian | ✓ |
| ka-GE | Georgian | Georgia | ლარი | Short | ✓ |
| km-KH | Khmer | Cambodia | រៀល | Khmer | ✗ |
| kn-IN | Kannada | India | ರೂಪಾಯಿ | Short | ✓ |
| ko-KR | Korean | South Korea | 원 | Short | ✓ |
| lt-LT | Lithuanian | Lithuania | Euras | Short | ✓ |
| lv-LV | Latvian | Latvia | Eiro | Short | ✓ |
| mr-IN | Marathi | India | रुपया | Indian | ✓ |
| ms-MY | Malay | Malaysia | Ringgit | Short | ✓ |
| ms-SG | Malay | Singapore | Dolar | Short | ✓ |
| my-MM | Burmese | Myanmar | ကျပ် | Burmese | ✗ |
| nb-NO | Norwegian | Norway | Krone | Long | ✓ |
| nl-NL | Dutch | Netherlands | Euro | Short | ✓ |
| nl-SR | Dutch | Suriname | Dollar | Short | ✓ |
| np-NP | Nepali | Nepal | रुपैयाँ | Indian | ✓ |
| pa-IN | Punjabi | India | ਰੁਪਇਆ | Short | ✓ |
| pl-PL | Polish | Poland | Złoty | Short | ✓ |
| pt-AO | Portuguese | Angola | Kwanza | Short | ✓ |
| pt-BR | Portuguese | Brazil | Real | Short | ✓ |
| pt-MZ | Portuguese | Mozambique | Metical | Short | ✓ |
| pt-PT | Portuguese | Portugal | Euro | Short | ✓ |
| ro-RO | Romanian | Romania | Leu | Short | ✓ |
| ru-RU | Russian | Russia | Рубль | Short | ✓ |
| si-LK | Sinhala | Sri Lanka | රුපියල | Indian | ✓ |
| sk-SK | Slovak | Slovakia | Euro | Short | ✓ |
| sl-SI | Slovenian | Slovenia | Euro | Short | ✓ |
| sq-AL | Albanian | Albania | Lek | Short | ✓ |
| sr-RS | Serbian | Serbia | Dinar | Short | ✓ |
| sv-SE | Swedish | Sweden | Krona | Short | ✓ |
| sw-KE | Swahili | Kenya | Shilingi | Short | ✓ |
| sw-TZ | Swahili | Tanzania | Shilingi | Short | ✓ |
| ta-IN | Tamil | India | ரூபாய் | Short | ✓ |
| te-IN | Telugu | India | రూపాయి | Short | ✓ |
| th-TH | Thai | Thailand | บาท | Short | ✓ |
| tr-TR | Turkish | Turkey | Lira | Short | ✓ |
| uk-UA | Ukrainian | Ukraine | Гривня | Short | ✓ |
| ur-PK | Urdu | Pakistan | روپیہ | Short | ✓ |
| uz-UZ | Uzbek | Uzbekistan | So'm | Short | ✓ |
| vi-VN | Vietnamese | Vietnam | Đồng | Short | ✓ |
| yo-NG | Yoruba | Nigeria | Naira | Short | ✓ |
| zh-CN | Chinese | China | 元 | East Asian | ✓ |
| zh-TW | Chinese | Taiwan | 元 | East Asian | ✓ |
| zu-ZA | Zulu | South Africa | Rand | Short | ✓ |
Scale Legend:
- Short — Western short scale (Million, Billion, Trillion...)
- Long — European long scale (Million, Milliard, Billion, Billiard...)
- Indian — Indian numbering (Lakh, Crore, Arab, Kharab...)
- East Asian — East Asian numbering (万, 億, 兆, 京...)
- Burmese — Burmese traditional scale (သောင်း=10k, သိန်း=100k, သန်း=1M)
- Khmer — Khmer traditional scale (មុឺន=10k, សែន=100k, លាន=1M)
The library throws descriptive errors for invalid inputs:
toWords.convert('abc');
// Error: Invalid Number "abc"
toWords.convert(NaN);
// Error: Invalid Number "NaN"
toWords.convert(Infinity);
// Error: Invalid Number "Infinity"const toWords = new ToWords({ localeCode: 'xx-XX' });
toWords.convert(123);
// Error: Unknown Locale "xx-XX"toWords.toOrdinal(-5);
// Error: Ordinal numbers must be non-negative integers, got "-5"
toWords.toOrdinal(3.14);
// Error: Ordinal numbers must be non-negative integers, got "3.14"try {
const words = toWords.convert(userInput);
console.log(words);
} catch (error) {
console.error('Conversion failed:', error.message);
}Contributions are welcome! Please read CONTRIBUTING.md for the full guide covering development setup, coding guidelines, how to add a new locale, commit message format, and the PR process.
For questions or ideas, open an issue or start a discussion.
This project follows the Contributor Covenant Code of Conduct.
How do I handle numbers larger than JavaScript's safe integer limit?
Use BigInt or pass the number as a string:
// Using BigInt
toWords.convert(9007199254740993n);
// Using string
toWords.convert('9007199254740993');Why am I seeing scientific notation in my output?
JavaScript automatically converts large numbers to scientific notation. Pass them as strings or BigInt instead:
// ❌ This may give unexpected results
toWords.convert(123456789012345678901);
// ✅ Use string or BigInt
toWords.convert('123456789012345678901');
toWords.convert(123456789012345678901n);Can I use a custom currency?
Yes! Override the currency options:
toWords.convert(1234.56, {
currency: true,
currencyOptions: {
name: 'Bitcoin',
plural: 'Bitcoins',
symbol: '₿',
fractionalUnit: { name: 'Satoshi', plural: 'Satoshis', symbol: 'sat' },
},
});
// "One Thousand Two Hundred Thirty Four Bitcoins And Fifty Six Satoshis Only"Does this work in the browser?
Yes! Use the UMD bundles via CDN:
<script src="https://cdn.jsdelivr.net/npm/to-words/dist/umd/en-US.min.js"></script>
<script>
const toWords = new ToWords();
console.log(toWords.convert(123));
</script>Can I inject a custom locale (crypto, internal units, custom currency)?
Yes. ToWordsCore exposes a setLocale() method that accepts any class implementing LocaleInterface ({ config: LocaleConfig }). No need to fork the package or submit a PR — your custom locale stays in your own codebase.
import { ToWordsCore } from 'to-words';
import type { LocaleInterface, LocaleConfig } from 'to-words';
class BitcoinLocale implements LocaleInterface {
config: LocaleConfig = {
currency: {
name: 'Bitcoin',
plural: 'Bitcoins',
symbol: '₿',
fractionalUnit: { name: 'Satoshi', plural: 'Satoshis', symbol: 'sat' },
},
texts: { and: 'And', minus: 'Minus', only: 'Only', point: 'Point' },
numberWordsMapping: [
{ number: 1, value: 'One' },
{ number: 2, value: 'Two' },
// ... rest of the mapping, same structure as any built-in locale
],
};
}
const tw = new ToWordsCore();
tw.setLocale(BitcoinLocale);
console.log(tw.convert(2.1, { currency: true }));
// "Two Bitcoins And Ten Satoshis Only"The easiest starting point is to copy the nearest built-in locale from src/locales/ and change only what differs.
How do I add support for a new locale?
See the Contributing section above. You'll need to create a locale file implementing the LocaleInterface and add tests.
See CHANGELOG.md for a detailed history of changes.