kanjize
Easy converter between Kanji-Number and Integer
Decision gist · record as of 2026-08-14
Yes, if you need to work with Japanese kanji numerals. The package is stable, has no dependencies, installs easily, and covers a wide range of conversion scenarios. The infrequent updates are not a concern for a mature, single-purpose library. No known security vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction install with no runtime dependencies.
- Marked as aging (426 days since last release), but the repository remains active with recent commits and the package is marked Production/Stable.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive) means you can use, modify, and distribute this package freely with minimal restrictions.
last release 2025-06-14 (426 days) · last repo commit 2025-06-14 · 67 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 155,356 downloads/mo, #10,821 on PyPI
Alternatives
Verify before relying
pip install kanjize
from kanjize import number2kanji, kanji2number
print(number2kanji(58076099))
# 五千八百七万六千九十九
print(kanji2number("五千八百七万六千九十九"))
# 58076099- Whether the package handles edge cases consistently for numbers near the 10^72 - 1 limit
- Performance characteristics when converting very large numbers or bulk operations
What it is and what it does
Kanjize is a bidirectional converter between Japanese kanji number notation and standard integers. It handles both standard and formal (daiji) kanji representations, mixed notation (combining Arabic digits with kanji), and flat digit-by-digit conversion. The package supports numbers up to 10^72 - 1 and includes a Number class for arithmetic operations on kanji-represented values.
The library is useful for applications that need to parse or generate Japanese numerals—common in Japanese text processing, document generation, and localization. It has no external runtime dependencies and requires Python 3.8 or later. The package is stable and maintained, though updates are infrequent.
Use it for
- Parse Japanese text containing kanji numerals and convert them to integers for calculation or storage
- Generate Japanese kanji number representations for documents, invoices, or formal Japanese text output
- Support mixed notation (e.g., '223兆4千億') for applications that display numbers in hybrid Arabic-kanji format
- Perform arithmetic on kanji-represented numbers using the Number class without converting to integers first
- Localize numeric output in Japanese applications by converting standard integers to formal or casual kanji notation
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to work with Japanese kanji numerals.
The package is stable, has no dependencies, installs easily, and covers a wide range of conversion scenarios. The infrequent updates are not a concern for a mature, single-purpose library. No known security vulnerabilities.
Install
kanjize on PyPI
Before you install
Low friction install with no runtime dependencies. Marked as aging (426 days since last release), but the repository remains active with recent commits and the package is marked Production/Stable.
License in practice
MIT license (permissive) means you can use, modify, and distribute this package freely with minimal restrictions.
Quickstart
pip install kanjize
from kanjize import number2kanji, kanji2number
print(number2kanji(58076099))
# 五千八百七万六千九十九
print(kanji2number("五千八百七万六千九十九"))
# 58076099Verify before relying
- Whether the package handles edge cases consistently for numbers near the 10^72 - 1 limit
- Performance characteristics when converting very large numbers or bulk operations
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 426 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 155,356 / month, #10,821 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/StableEnvironment :: Other EnvironmentIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Topic :: Software Development :: Libraries :: Python Modules |
Evidence: kanjize-1.6.1-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 › “kanji number converter”
- kanjizeConverts between Japanese kanji number representations and integers,…
- pykakasiTransliterates Japanese text (hiragana, katakana, kanji) into rōmaji…
- OpenCCConverts text between Traditional Chinese, Simplified Chinese, and…
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 pykakasi · text2digits · jaconv · mojimoji · str2bool · habachen · cutlet · OpenCC · cn2an · roman