num2words
Modules to convert numbers to words. Easily extensible.
Decision gist · record as of 2026-08-14
Yes. The package is stable (Production/Stable status), widely used (9461923 monthly downloads, top_5000 tier), has no known vulnerabilities, and imposes minimal install friction. The copyleft license is a consideration for proprietary applications but not a barrier for most use cases. The 605-day gap since the last release suggests slower maintenance, but the active repository and recent commits indicate ongoing support. Install it if you need multilingual number-to-words conversion.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with a single lightweight runtime dependency (docopt).
- Last release was 605 days ago; the repository remains active with recent commits (2025-05-30) and 962 stars, though maintenance pace appears to have slowed.
License · maintenance · safety
LGPL (copyleft) — Licensed under LGPL (copyleft). Any derivative work or modification must be distributed under compatible terms; proprietary closed-source applications using this library must comply with copyleft obligations or obtain alternative licensing.
last release 2024-12-17 (605 days) · last repo commit 2025-05-30 · 962 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 9,461,923 downloads/mo, #1,531 on PyPI
Alternatives
Verify before relying
pip install num2words
from num2words import num2words
print(num2words(42))
print(num2words(42, to='ordinal'))
print(num2words(42, lang='fr'))- Whether ordinal number generation is reliable across all supported languages (description notes this feature is 'a bit buggy for some languages').
- Current test coverage and robustness of less commonly used language implementations.
- Performance characteristics when handling very large numbers or bulk conversions.
- Total number of supported language variants and regional locales.
What it is and what it does
num2words is a library that converts numeric values into their written word equivalents across multiple languages. It handles cardinal numbers (42 → 'forty-two'), ordinal forms (42 → 'forty-second'), year formats, and currency representations. The library supports language variants including English, Spanish, French, German, and many others, with locale-specific fallback behavior when exact regional variants are unavailable.
The package is designed for internationalization and localization tasks where numeric output needs to be human-readable in multiple languages. It exposes a single primary function with optional parameters to specify the conversion type and target language. The library includes both a Python API and a command-line interface, making it suitable for integration into applications or standalone text processing workflows.
Use it for
- Generate human-readable invoice or receipt text in customer-preferred languages for e-commerce or billing systems.
- Convert numeric data to words for text-to-speech or accessibility features in multilingual applications.
- Format currency amounts as spelled-out text for legal documents, checks, or formal correspondence.
- Localize numeric output in reports, forms, or user-facing content for international audiences.
- Create ordinal representations for ranking, positioning, or date formatting in multilingual contexts.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is stable (Production/Stable status), widely used (9461923 monthly downloads, top_5000 tier), has no known vulnerabilities, and imposes minimal install friction. The copyleft license is a consideration for proprietary applications but not a barrier for most use cases. The 605-day gap since the last release suggests slower maintenance, but the active repository and recent commits indicate ongoing support. Install it if you need multilingual number-to-words conversion.
Install
num2words on PyPI
Before you install
Low install friction with a single lightweight runtime dependency (docopt). Last release was 605 days ago; the repository remains active with recent commits (2025-05-30) and 962 stars, though maintenance pace appears to have slowed.
License in practice
Licensed under LGPL (copyleft). Any derivative work or modification must be distributed under compatible terms; proprietary closed-source applications using this library must comply with copyleft obligations or obtain alternative licensing.
Quickstart
pip install num2words
from num2words import num2words
print(num2words(42))
print(num2words(42, to='ordinal'))
print(num2words(42, lang='fr'))Verify before relying
- Whether ordinal number generation is reliable across all supported languages (description notes this feature is 'a bit buggy for some languages').
- Current test coverage and robustness of less commonly used language implementations.
- Performance characteristics when handling very large numbers or bulk conversions.
- Total number of supported language variants and regional locales.
Package facts
| License | LGPL copyleft |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagedocopt |
| Maintenance | Aging 605 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 9,461,923 / month, #1,531 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: InternationalizationTopic :: Software Development :: Libraries :: Python ModulesTopic :: Software Development :: LocalizationTopic :: Text Processing :: Linguistic |
Evidence: num2words-0.5.14-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “ordinal number generation”
- num2wordsConverts numbers to their word representations in multiple languages,…
- inflectGenerates correct English plurals, singulars, ordinals, indefinite…
- number-parserConverts numbers written in natural language (e.g., "twenty three")…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also indic-numtowords · number-parser · wn · text2num · unicode-rbnf · text2digits · recognizers-text-number · word2number · wordfreq · recognizers-text-choice