jProcessing
Kanji/Hiragana/Katakana to Romaji Converter with Sentiment Analysis and Sentence Similarity for Japanese Text
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is jProcessing?
jProcessing is a powerful library that converts Kanji, Hiragana, and Katakana into Romaji. It also includes Edict Dictionary search capabilities, sentence similarity analysis, and sentiment analysis of Japanese text.
Key differentiator
“jProcessing stands out as a specialized library for handling Japanese text, offering unique features like Kanji conversion and Edict Dictionary integration, which are not commonly found in general-purpose NLP libraries.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary focus on Kanji, Hiragana, and Katakana conversion limits its utility for other languages or scripts
Sentence similarity analysis slows down significantly with more than 1000 sentences
Fit analysis
Who is it for?
✓ Best for
Teams developing NLP applications focused on the Japanese language who need robust text conversion and analysis capabilities.
Researchers working with Japanese text data requiring accurate sentiment analysis.
✕ Not a fit for
Projects that require real-time processing of large volumes of Japanese text due to potential performance limitations.
Applications needing support for languages other than Japanese.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with jProcessing
Step-by-step setup guide with code examples and common gotchas.