{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/3"},{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic"},{"label":"Internationalization","url":"https://skillfed.io/packages/category/software-development-internationalization"},{"label":"Localization","url":"https://skillfed.io/packages/category/software-development-localization"}],"enrichment":{"capability":"Converts numbers to their word representations in multiple languages, supporting cardinal numbers, ordinals, years, and currency formats.","skillfed_tags":["i18n-localization","text-generation","multilingual"],"use_cases":["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."],"what_it_does":"num2words is a library that converts numeric values into their written word equivalents across multiple languages. It handles cardinal numbers (42 \u2192 'forty-two'), ordinal forms (42 \u2192 '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.\n\nThe 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.","worth_installing":"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."},"id":"num2words","links":{"html":"https://skillfed.io/packages/num2words","md":"https://skillfed.io/packages/num2words.md","pypi":"https://pypi.org/project/num2words/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2024-12-17","license_spdx":null,"license_treatment":"copyleft","name":"num2words","python_support":"unspecified","summary":"Modules to convert numbers to words. Easily extensible."},"popularity":{"monthly_downloads":9461923,"position":1531,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.5.14"}