Albertaworlds

Albertaworlds / japanese-text-cleaner

Public

Automated Japanese text cleaning web tool with 16-step pipeline, batch processing, encoding auto-detection, and Agent-ready API | 16種類のクリーニングルールを搭載した日本語テキスト自動整形Webツール

14
0
100% credibility
Found May 15, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A web app for cleaning and normalizing Japanese text files using configurable multi-step processes, with support for batch uploads, encoding detection, and preset modes.

How It Works

1
🔍 Discover the tool

You find the Japanese Text Cleaner online while looking for a way to tidy up messy Japanese writing.

2
🌐 Open the webpage

You visit the simple web page that loads quickly with a welcoming screen.

3
Add your text
✂️
Paste text

Copy and paste your Japanese text into the input box.

📁
Upload files

Drag and drop one or more TXT files for batch cleaning.

4
⚙️ Pick cleaning style

Select light, standard, or deep cleaning to match your needs perfectly.

5
✨ Start cleaning

Click the button and watch it process your text in seconds.

6
💾 Save results

Copy the cleaned text or download it as files or a zip.

🎉 Perfect text ready

Your Japanese text is now neatly formatted, with proper punctuation and spacing, ready to read or use.

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Star Growth

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AI-Generated Review

What is japanese-text-cleaner?

This TypeScript web app built on Next.js automates cleaning messy Japanese text from TXT files or raw strings, tackling issues like inconsistent Unicode, full/half-width characters, wonky quotes, brackets, and punctuation via a precise 16-step pipeline. Drop in files for batch processing with auto-encoding detection (UTF-8, ShiftJIS, EUC-JP), pick from deep/standard/light modes, and get polished output ready for analysis. It also exposes an agent-ready API at POST /api/v1/clean for scripted workflows.

Why is it gaining traction?

Unlike generic text cleaners, it nails Japanese-specific quirks—think half-width katakana fixes or sentence-per-line reformatting—while supporting drag-drop batches up to 20 files and ZIP exports. The fixed-depth API with Bearer auth integrates seamlessly into automated pipelines, like GitHub automated testing or agent chains for Japanese data scraping. Multi-language docs (English/Chinese/Japanese) and pure-function core make it dead simple to deploy or embed.

Who should use this?

NLP engineers preprocessing Japanese corpora for spaCy models, researchers cleaning scraped web text from forums or books, or backend devs building automated Japanese text pipelines for chatbots/agents. Ideal for anyone handling ShiftJIS relics or batch-formatting novels/articles without manual regex hell.

Verdict

With 14 stars and 1.0% credibility, it's early-stage but promising—solid docs and API outweigh the low maturity. Grab it for niche Japanese text automation if you need agent-ready cleaning now; watch for tests and wider adoption.

(178 words)

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