cutlet
Romaji converter
Decision gist · record as of 2026-08-14
Yes. Cutlet is actively maintained, has no known vulnerabilities, installs with low friction, and solves a specific problem well. Use it if you need to romanize Japanese text; the permissive MIT license and moderate popularity (top 15000 packages) suggest it is stable and reliable for production use. Verify that your environment can satisfy the MeCab dictionary requirement before deploying.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later.
- For full functionality, install a MeCab dictionary such as unidic-lite.
- Low install friction with a pure Python wheel.
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), allowing free use, modification, and distribution with minimal restrictions.
last release 2026-07-01 (44 days) · last repo commit 2026-07-01 · 382 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 110,368 downloads/mo, #12,466 on PyPI
Alternatives
Verify before relying
pip install cutlet
import cutlet
katsu = cutlet.Cutlet()
katsu.romaji("カツカレーは美味しい")
# => 'Cutlet curry wa oishii'- Whether fugashi's MeCab dependency is automatically satisfied or requires separate system installation
- Performance characteristics on large volumes of Japanese text
- Accuracy of romanization across different Japanese dialects or specialized terminology
What it is and what it does
Cutlet is a Python library that converts Japanese text into Latin-character romanization. It supports three major romanization systems (Modified Hepburn, Kunrei-shiki, and Nihon-shiki) and includes features like proper noun capitalization, foreign spelling detection via UniDic, and URL-safe slug generation. The library uses fugashi for morphological analysis, meaning it shares the same tokenization and dictionary infrastructure as other Japanese NLP tools.
The package is useful when you need to make Japanese text readable to audiences unfamiliar with Japanese characters, generate URL-safe versions of Japanese names or phrases, or integrate romanization into broader Japanese language processing pipelines. It handles common exceptions (Tokyo, Osaka) and allows custom overrides for individual words or character mappings.
Use it for
- Generate URL slugs from Japanese product or article titles for web applications
- Convert Japanese names and addresses to romanized form for international databases or forms
- Build search or filtering systems that accept both Japanese and romanized input
- Create phonetic transcriptions of Japanese text for accessibility or educational purposes
- Integrate romanization into NLP pipelines that process mixed-language content
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Cutlet is actively maintained, has no known vulnerabilities, installs with low friction, and solves a specific problem well. Use it if you need to romanize Japanese text; the permissive MIT license and moderate popularity (top 15000 packages) suggest it is stable and reliable for production use. Verify that your environment can satisfy the MeCab dictionary requirement before deploying.
Install
cutlet on PyPI
Before you install
Low install friction with a pure Python wheel. Actively maintained as of 2026-07-01 with 382 repository stars. Requires three runtime dependencies (jaconv, fugashi, mojimoji) and optionally a MeCab dictionary like unidic-lite for full functionality.
Requires Python 3.8 or later. For full functionality, install a MeCab dictionary such as unidic-lite.
License in practice
Licensed under MIT (permissive), allowing free use, modification, and distribution with minimal restrictions.
Quickstart
pip install cutlet
import cutlet
katsu = cutlet.Cutlet()
katsu.romaji("カツカレーは美味しい")
# => 'Cutlet curry wa oishii'Verify before relying
- Whether fugashi's MeCab dependency is automatically satisfied or requires separate system installation
- Performance characteristics on large volumes of Japanese text
- Accuracy of romanization across different Japanese dialects or specialized terminology
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesjaconvfugashimojimoji |
| Maintenance | Actively maintained 44 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 110,368 / month, #12,466 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 LicenseNatural Language :: Japanese |
Evidence: cutlet-0.5.2-py3-none-any.whl
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