indic-numtowords
A module to convert numbers to words for Indian languages and English.
Decision gist · record as of 2026-08-14
Yes, if you need to convert numbers to words in Indian languages. The package is stable, has no dependencies, low install friction, and covers a broad range of languages with permissive MIT licensing. The aging maintenance status is not a blocker for a mature utility function, but verify that the language and variation modes you need are fully supported before production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with no runtime dependencies.
- Maintenance status is aging—last release was 361 days ago, though the repository remains active and supports current Python versions.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing commercial and private use with minimal restrictions.
last release 2025-08-18 (361 days) · last repo commit 2025-09-30 · 19 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 508,328 downloads/mo, #6,280 on PyPI
Alternatives
Verify before relying
pip install indic-numtowords
from indic_numtowords import num2words
words = num2words(38, lang='ta')
print(words) # முப்பத்து எட்டு- Whether the package handles edge cases (negative numbers, zero, very large integers) beyond the documented non-negative integer requirement.
- Performance characteristics and memory usage when converting large batches of numbers.
- Completeness and accuracy of word representations across all supported languages.
What it is and what it does
indic-numtowords is a lightweight library that translates integers into their written word forms across Indian languages plus English. It provides a single entry point—the num2words() function—that accepts a number, a language code, and optional flags to control output format (standard words, multiple variations, or digit-by-digit conversion). The package has no external runtime dependencies and installs as a pure Python wheel, making it straightforward to add to any project.
The library is most useful in applications serving Indian language users—chatbots, text-to-speech systems, financial reports, or educational tools—where numbers need to be spelled out rather than displayed as digits. It supports languages including Assamese, Bengali, Bodo, Dogri, Gujarati, Hindi, Kannada, Kashmiri, Konkani, Maithili, Malayalam, Marathi, Manipuri, Nepali, Odia, Punjabi, Sanskrit, Santali, Sindhi, Tamil, Telugu, and Urdu. The aging maintenance status suggests the core functionality is stable but not actively evolving.
Use it for
- Generate spoken number text for text-to-speech systems serving Indian language users.
- Convert numeric data to words in financial or educational documents in regional languages.
- Build chatbots or voice assistants that need to spell out numbers in multiple Indian languages.
- Create accessibility features that read numbers aloud in a user's preferred Indian language.
- Localize applications to display numbers as words rather than digits in regional language interfaces.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to convert numbers to words in Indian languages.
The package is stable, has no dependencies, low install friction, and covers a broad range of languages with permissive MIT licensing. The aging maintenance status is not a blocker for a mature utility function, but verify that the language and variation modes you need are fully supported before production use.
Install
indic-numtowords on PyPI
Before you install
Low install friction with no runtime dependencies. Maintenance status is aging—last release was 361 days ago, though the repository remains active and supports current Python versions.
License in practice
MIT license is permissive, allowing commercial and private use with minimal restrictions.
Quickstart
pip install indic-numtowords
from indic_numtowords import num2words
words = num2words(38, lang='ta')
print(words) # முப்பத்து எட்டுVerify before relying
- Whether the package handles edge cases (negative numbers, zero, very large integers) beyond the documented non-negative integer requirement.
- Performance characteristics and memory usage when converting large batches of numbers.
- Completeness and accuracy of word representations across all supported languages.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 361 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 508,328 / month, #6,280 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Libraries |
Evidence: indic_numtowords-1.1.0-py3-none-any.whl
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See also indic-transliteration · num2words · indic-nlp-library · number-parser · text2num · text2digits · lexid · syllapy · inflect · word2number