# 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

from $5.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## 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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```