Japanese Text Normalizer (和暦・全角半角・郵便番号) avatar

Japanese Text Normalizer (和暦・全角半角・郵便番号)

Pricing

from $0.50 / 1,000 text normalizeds

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Japanese Text Normalizer (和暦・全角半角・郵便番号)

Japanese Text Normalizer (和暦・全角半角・郵便番号)

Clean Japanese text in bulk: full-width to half-width, half-width katakana, dashes, whitespace, postal codes, and Japanese era dates (令和/平成/昭和) to ISO dates. No scraping, no external calls.

Pricing

from $0.50 / 1,000 text normalizeds

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Developer

peti peti

peti peti

Maintained by Community

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1

Monthly active users

4 days ago

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Clean messy Japanese text in bulk before you put it into a spreadsheet, database, search index or LLM pipeline.

No scraping and no external requests. The Actor only transforms the text you give it, so there are no site terms or personal-data collection concerns on our side.

What it does

StepExampleDefault
Full-width → half-width ASCIIABC123 → ABC123on
Half-width katakana → full-widthガギ → ガギon
Ideographic space → space東京 都 → 東京 都on
Unify dashes (keeps the long vowel ー)03−1234–5678 → 03-1234-5678on
Collapse spaces, trim lineson
Postal code format〒1000001 → 〒100-0001on
Japanese era date → ISO令和6年4月1日 → 2024-04-01, R5.12.31 → 2023-12-31, 平成元年 → 1989off
Kanji numerals → Arabic (experimental)三万五千円 → 35000円off

Era dates (令和 / 平成 / 昭和 / 大正 / 明治, also R6.4.1, H31.4.30 style) are always detected and listed in warekiDates, even when the rewrite option is off. Impossible dates (令和2年2月30日) and dates outside the era (平成31年5月1日) come back with a warning and are never rewritten.

Symbols such as ① or ㈱ are intentionally left as they are (unlike plain NFKC).

Input

{
"texts": [" 令和6年4月1日 〒1000013", "カタカナ ABC123"],
"warekiToIso": true
}

Output (one row per text)

{
"input": " 令和6年4月1日 〒1000013",
"output": "2024-04-01 〒100-0013",
"changed": true,
"applied": ["width", "whitespace", "warekiToIso", "postalCodes"],
"warekiDates": [{ "text": "令和6年4月1日", "era": "令和", "eraYear": 6, "iso": "2024-04-01", "warning": null }]
}

Download as JSON, CSV or Excel from the dataset tab, or call the Actor from the API / Make / Zapier / n8n.

Use cases

  • Cleaning Japanese CSV exports (CRM, EC, government open data) before import
  • Converting 和暦 dates in documents and forms to ISO dates
  • Preparing Japanese text for embeddings / RAG so full-width and half-width variants match

Pricing

Pay per event, platform usage included:

EventPrice
Actor start$0.01 per run
text-normalized – one input text normalized$0.50 per 1,000 texts

Example: normalizing 10,000 texts costs $0.01 + $5.00 = $5.01.

Limits

  • Kanji numeral conversion is heuristic and off by default. Words such as 四国 can be changed. Check the output.
  • Era years are converted using the first year of each era (令和1 = 2019, 平成1 = 1989, 昭和1 = 1926, 大正1 = 1912, 明治1 = 1868).

日本語での説明

日本語テキストの表記ゆれ(全角・半角、半角カナ、ダッシュ、空白、郵便番号)をまとめて整え、和暦(令和・平成・昭和など)を西暦の ISO 形式に直します。外部サイトへのアクセスは一切しません。