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albertaworlds/japanese-text-cleaner

Analysis updated 2026-05-18

30TypeScriptAudience · developerComplexity · 2/5Setup · easy

TLDR

A web app and API that automatically standardizes messy Japanese text through a 16-step cleaning pipeline, fixing character widths, punctuation, line breaks, and encoding issues.

Mindmap

mindmap
  root((repo))
    What it does
      Cleans Japanese text
      16-step pipeline
      Fixes encoding issues
    Tech stack
      TypeScript
      Web app
      REST API
    Use cases
      Batch file cleaning
      AI pipeline integration
      Translation prep
    Audience
      Developers
      NLP practitioners

Code map

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What do people build with it?

USE CASE 1

Paste or upload messy Japanese text and get a standardized, cleaned version back

USE CASE 2

Batch-clean multiple text files by dragging them in and exporting the results as a zip

USE CASE 3

Call the API from an AI or NLP pipeline to clean Japanese text before analysis or translation

USE CASE 4

Prepare Japanese text data for AI model training with consistent formatting

What is it built with?

TypeScriptWeb appREST API

How does it compare?

albertaworlds/japanese-text-cleanerayangabryl/ngx-digit-flowmoonpiesheldon1337/mobsf-fail-app
Stars303030
LanguageTypeScriptTypeScriptTypeScript
Setup difficultyeasyeasymoderate
Complexity2/52/53/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

In plain English

Japanese Text Cleaner is a web application that automatically tidies up messy Japanese text. Japanese text often arrives from different sources in inconsistent formats, mixed full-width and half-width characters, inconsistent quotation marks, unusual line breaks, HTML tags, and encoding problems (Japanese text can be stored in several different character encodings like UTF-8, Shift-JIS, or EUC-JP). This tool standardizes all of that automatically. It runs a 16-step pipeline over the text: normalizing the Unicode representation, converting character widths, standardizing punctuation and brackets, removing unwanted control characters, fixing quote pairings, and reformatting line breaks so that each sentence sits on its own line. There are three cleaning modes, deep, standard, and light, depending on how aggressively you want to transform the text. You can paste text directly, drag and drop multiple text files for batch processing, and export the results as a zip archive. It also exposes an API endpoint so AI tools or natural language processing pipelines can send text for cleaning programmatically. This is useful for anyone preparing Japanese text data for analysis, translation, or AI training.

Copy-paste prompts

Prompt 1
Show me how to call the japanese-text-cleaner API to clean a batch of Japanese text files
Prompt 2
Explain the difference between the deep, standard, and light cleaning modes
Prompt 3
Help me set up this tool to preprocess Japanese text before feeding it into a translation pipeline
Prompt 4
What does the 16-step cleaning pipeline actually normalize in Japanese text

Frequently asked questions

What is japanese-text-cleaner?

A web app and API that automatically standardizes messy Japanese text through a 16-step cleaning pipeline, fixing character widths, punctuation, line breaks, and encoding issues.

What language is japanese-text-cleaner written in?

Mainly TypeScript. The stack also includes TypeScript, Web app, REST API.

How hard is japanese-text-cleaner to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is japanese-text-cleaner for?

Mainly developer.

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