
About
This tool deconstructs Japanese text into its core components, including parts of speech, readings, and dictionary forms. It offers OCR capabilities for analyzing text from images and integrates with system-wide features for seamless text analysis.
What's New in MowenJS
1.2
July 1, 2026
Fix some bugs. Supports parsing of all verb conjugated forms. Example: All conjugations of the godan ra-row verb 帰る (kaeru): ない形:帰らない ます形:帰ります て形:帰って た形:帰った 可能形:帰れる 受身形:帰られる 使役形:帰らせる 使役受身形:帰らせられる 意志形:帰ろう 命令形:帰れ 条件形:帰れば なくて形:帰らなくて
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FAQ
What is MowenJS?
MowenJS is a professional Japanese morphological analysis tool that deconstructs Japanese text into parts of speech, readings, and dictionary forms using the MeCab engine. It also features OCR for image analysis and system-wide integration for text analysis.
Does MowenJS require an internet connection?
No, MowenJS is 100% offline. All analysis is performed locally on your device, ensuring maximum privacy and fast performance without needing an internet connection.
What is the price of MowenJS?
MowenJS is available for a one-time purchase of $0.99.
What devices is MowenJS compatible with?
MowenJS is designed for iOS devices and utilizes advanced iOS frameworks for its OCR and system-wide integration features. It is suitable for users aged 4 and up.
How does MowenJS help with learning Japanese?
MowenJS helps users understand the DNA of Japanese sentences by breaking them down into precise components. It also offers home screen widgets for effortless daily review of Hiragana and Katakana.
Can MowenJS analyze text from photos?
Yes, MowenJS features OCR and image analysis powered by advanced iOS frameworks. You can recognize and analyze Japanese text from your camera or photos instantly.
How often is MowenJS updated?
The latest version of MowenJS is 1.2, last updated on July 1, 2026. This indicates a recent update, suggesting ongoing development and support.
What do users think of MowenJS?
MowenJS has received a perfect rating of 5.0 stars from 1 rating, indicating a highly positive user sentiment based on available data.


