jaconv
Pure-Python Japanese character interconverter for Hiragana, Katakana, Hankaku, Zenkaku and more
Decision gist · record as of 2026-08-14
Yes. jaconv is a stable, actively maintained library with no dependencies, permissive licensing, and a focused scope for Japanese character conversion. Install it if you work with Japanese text preprocessing, normalization, or transliteration. The recent release cycle and broad Python version support make it reliable for production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction: pure Python wheel with no runtime dependencies.
- Actively maintained as of 2026-02-08 with recent support for Python 3.13 and 3.14.
License · maintenance · safety
MIT License (permissive) — MIT License permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-02-08 (187 days) · last repo commit 2026-07-20 · 350 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,626,219 downloads/mo, #2,552 on PyPI
Alternatives
Verify before relying
pip install jaconv
import jaconv
# Hiragana to Katakana
jaconv.hira2kata('ともえまみ')
# => 'トモエマミ'
# Half-width to full-width
jaconv.h2z('ティロ・フィナーレ')
# => 'ティロ・フィナーレ'
# Hiragana to romanized alphabet
jaconv.kana2alphabet('じゃぱん')
# => 'japan'What it is and what it does
jaconv is a pure-Python library for converting between Japanese character representations. It handles transformations between Hiragana and Katakana scripts, conversion between half-width (Hankaku) and full-width (Zenkaku) character forms, and bidirectional transliteration between Japanese kana and romanized alphabet. The library also provides Unicode normalization tailored for Japanese text, including handling of small kana characters and phonetic format conversion for speech synthesis tools like Julius.
The package is designed for text preprocessing and normalization workflows in Japanese natural language processing. It has no external dependencies and runs on Python 2.7 through 3.14, making it straightforward to integrate into existing pipelines. Each conversion function accepts optional parameters to control which character types are affected, allowing fine-grained control over transformations.
Use it for
- Normalize Japanese text input by converting mixed character widths to consistent full-width or half-width forms before processing.
- Prepare Japanese text for search or indexing by converting between Hiragana and Katakana to handle user input variations.
- Convert user-entered romanized text (romaji) to Hiragana or Katakana for Japanese input method simulation.
- Generate phonetic representations for Japanese text in Julius speech synthesis format.
- Preprocess Japanese datasets for machine learning by standardizing character representation across training data.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
jaconv is a stable, actively maintained library with no dependencies, permissive licensing, and a focused scope for Japanese character conversion. Install it if you work with Japanese text preprocessing, normalization, or transliteration. The recent release cycle and broad Python version support make it reliable for production use.
Install
jaconv on PyPI
Before you install
Low friction: pure Python wheel with no runtime dependencies. Actively maintained as of 2026-02-08 with recent support for Python 3.13 and 3.14.
License in practice
MIT License permits commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install jaconv
import jaconv
# Hiragana to Katakana
jaconv.hira2kata('ともえまみ')
# => 'トモエマミ'
# Half-width to full-width
jaconv.h2z('ティロ・フィナーレ')
# => 'ティロ・フィナーレ'
# Hiragana to romanized alphabet
jaconv.kana2alphabet('じゃぱん')
# => 'japan'
Package facts
| License | MIT License permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 187 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,626,219 / month, #2,552 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 :: DevelopersIntended Audience :: Information TechnologyNatural Language :: JapaneseOperating System :: MacOSOperating System :: MicrosoftOperating System :: POSIXProgramming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.4Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Text ProcessingTopic :: Text Processing :: General |
Evidence: jaconv-0.5.0-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 › “half-width full-width kana”
- jaconvjaconv converts between Japanese character types: Hiragana, Katakana,…
- mojimojiConverts Japanese text between hankaku (half-width) and zenkaku…
- habachenHabachen converts between full-width and half-width characters, and…
Give your agent the search over MCP, or paste the wish link into any chat.
More Text Processing packages
A drop-in replacement for Python's standard `re` module that adds advanced regex features like nested sets, fuzzy matching, lookaround in conditionals, and full Unicode case-folding while maintaining backward compatibility.
pyparsing provides a library for building text parsers directly in Python code using composable grammar classes, handling quoted strings, whitespace variation, and embedded comments without regex or lex/yacc.
Install it if you need to parse text or define grammars programmatically.
fonttools manipulates font files in multiple formats (TrueType, OpenType, AFM, Type 1, Mac-specific) and includes TTX, a tool to convert fonts to and from XML text format.
Install it if you need to read, write, or manipulate fonts programmatically or via the TTX command-line tool.
Docutils converts plaintext documentation in reStructuredText format into multiple output formats including HTML, XML, and LaTeX using a modular processing system.
RapidFuzz provides fast fuzzy string matching using Levenshtein Distance and related metrics, implemented mostly in C++ with Python bindings for rapid similarity scoring and approximate string matching.
Install it if you need fuzzy string matching; it's a solid replacement for FuzzyWuzzy with better licensing and performance.
tinycss2 parses CSS strings into token and block objects, and generates CSS strings from those objects, following the CSS Syntax Level 3 specification without enforcing specific properties or values.
Install it if your project requires CSS tokenization or syntax manipulation.
See also habachen · mojimoji · pykakasi · kanjize · misaki · fold-to-ascii · anyascii · wetext · cutlet · hangul-romanize