# Japanese Text Normalizer — NFKC, kana, whitespace, sentences (`shoebill-dev27/jp-text-normalizer`) Actor

Normalize Japanese text for data pipelines: Unicode NFKC (full/half-width unification), wave-dash unification, whitespace cleanup, hiragana/katakana conversion, Japanese-aware sentence splitting, and per-script character stats.

- **URL**: https://apify.com/shoebill-dev27/jp-text-normalizer.md
- **Developed by:** [Shinobu Otani](https://apify.com/shoebill-dev27) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Japanese Text Normalizer

Clean and normalize Japanese text for search indexes, datasets, and LLM
pipelines — deterministic, instant, no LLM cost.

### What it does

- **Unicode NFKC**: full-width alphanumerics → ASCII (`Ｃｌａｕｄｅ` → `Claude`),
  half-width katakana → full-width (`ｶﾞｲﾄﾞ` → `ガイド`)
- **Wave-dash unification**: `～` (U+FF5E) → `〜` (U+301C), without touching
  real ASCII tildes in paths/URLs
- **Whitespace cleanup**: collapses space runs (including ideographic spaces),
  trims line ends, collapses 3+ blank lines, normalizes CRLF
- **Kana conversion**: hiragana ↔ katakana (optional)
- **Sentence segmentation**: Japanese-aware (`。！？` with closing-quote
  handling) plus Latin punctuation
- **Character statistics**: per-script counts (hiragana / katakana / kanji /
  ASCII / digits) before and after

### Input

```json
{
    "texts": ["Ｃｌａｕｄｅ　Ｃｏｄｅで開発する。「すごい」と思った。"],
    "kana": "none",
    "split_sentences": true
}
````

### Output (one dataset item per text)

```json
{
    "text": "Claude Codeで開発する。「すごい」と思った。",
    "changed": true,
    "sentences": ["Claude Codeで開発する。", "「すごい」と思った。"],
    "sentence_count": 2,
    "stats_before": {"hiragana": 8, "katakana": 0, "kanji": 4, "...": "..."},
    "stats_after": {"...": "..."}
}
```

### Typical uses

- Preprocessing scraped Japanese text before indexing or embedding
- Unifying mixed full-width/half-width product data
- Sentence-level dataset construction from raw Japanese prose

# Actor input Schema

## `texts` (type: `array`):

Texts to normalize; one dataset item is produced per text

## `nfkc` (type: `boolean`):

Unify full-width/half-width forms (ＡＢＣ→ABC, ｶﾞ→ガ)

## `unify_wave_dash` (type: `boolean`):

Map FULLWIDTH TILDE (U+FF5E) and TILDE to WAVE DASH (U+301C)

## `normalize_whitespace` (type: `boolean`):

Collapse runs of spaces/tabs, trim line ends, collapse 3+ blank lines

## `kana` (type: `string`):

Convert between hiragana and katakana

## `split_sentences` (type: `boolean`):

Include Japanese-aware sentence segmentation in the output

## Actor input object example

```json
{
  "texts": [
    "ﾃｽﾄです。　ＡＢＣ１２３　全角と半角が混在。"
  ],
  "nfkc": true,
  "unify_wave_dash": true,
  "normalize_whitespace": true,
  "kana": "none",
  "split_sentences": true
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "texts": [
        "ﾃｽﾄです。　ＡＢＣ１２３　全角と半角が混在。"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("shoebill-dev27/jp-text-normalizer").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "texts": ["ﾃｽﾄです。　ＡＢＣ１２３　全角と半角が混在。"] }

# Run the Actor and wait for it to finish
run = client.actor("shoebill-dev27/jp-text-normalizer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "texts": [
    "ﾃｽﾄです。　ＡＢＣ１２３　全角と半角が混在。"
  ]
}' |
apify call shoebill-dev27/jp-text-normalizer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=shoebill-dev27/jp-text-normalizer",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Japanese Text Normalizer — NFKC, kana, whitespace, sentences",
        "description": "Normalize Japanese text for data pipelines: Unicode NFKC (full/half-width unification), wave-dash unification, whitespace cleanup, hiragana/katakana conversion, Japanese-aware sentence splitting, and per-script character stats.",
        "version": "0.1",
        "x-build-id": "vTuhyhBa45ocZS7F6"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/shoebill-dev27~jp-text-normalizer/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-shoebill-dev27-jp-text-normalizer",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/shoebill-dev27~jp-text-normalizer/runs": {
            "post": {
                "operationId": "runs-sync-shoebill-dev27-jp-text-normalizer",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/shoebill-dev27~jp-text-normalizer/run-sync": {
            "post": {
                "operationId": "run-sync-shoebill-dev27-jp-text-normalizer",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "texts"
                ],
                "properties": {
                    "texts": {
                        "title": "Texts",
                        "type": "array",
                        "description": "Texts to normalize; one dataset item is produced per text",
                        "items": {
                            "type": "string"
                        }
                    },
                    "nfkc": {
                        "title": "Unicode NFKC normalization",
                        "type": "boolean",
                        "description": "Unify full-width/half-width forms (ＡＢＣ→ABC, ｶﾞ→ガ)",
                        "default": true
                    },
                    "unify_wave_dash": {
                        "title": "Unify wave dash",
                        "type": "boolean",
                        "description": "Map FULLWIDTH TILDE (U+FF5E) and TILDE to WAVE DASH (U+301C)",
                        "default": true
                    },
                    "normalize_whitespace": {
                        "title": "Normalize whitespace",
                        "type": "boolean",
                        "description": "Collapse runs of spaces/tabs, trim line ends, collapse 3+ blank lines",
                        "default": true
                    },
                    "kana": {
                        "title": "Kana conversion",
                        "enum": [
                            "none",
                            "hira_to_kata",
                            "kata_to_hira"
                        ],
                        "type": "string",
                        "description": "Convert between hiragana and katakana",
                        "default": "none"
                    },
                    "split_sentences": {
                        "title": "Split sentences",
                        "type": "boolean",
                        "description": "Include Japanese-aware sentence segmentation in the output",
                        "default": true
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```