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BytesAgain β€Ί Skills β€Ί Naver Papago Translate
πŸ¦€ ClawHub

Naver Papago Translate

by @chloepark85

Translate text between Korean, English, Japanese, Chinese, and 10+ other languages using Naver Papago NMT. Ideal for Korean-centric workflows, i18n tasks, an...

Versionv0.1.0
Downloads524
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TERMINAL
clawhub install naver-papago-translate

πŸ“– About This Skill

name: naver-papago-translate description: Translate text between Korean, English, Japanese, Chinese, and 10+ other languages using Naver Papago NMT. Ideal for Korean-centric workflows, i18n tasks, and automation pipelines. version: 0.1.0 metadata: openclaw: requires: env: - NAVER_CLIENT_ID - NAVER_CLIENT_SECRET bins: - python3 primaryEnv: NAVER_CLIENT_ID homepage: https://github.com/ChloePark85/naver-papago-translate install: - kind: uv package: naver-papago-translate bins: [papago-translate]

naver-papago-translate

Translate text through Naver's Papago NMT API from the CLI or Python. Supports 13+ language pairs (ko/en/ja/zh-CN/zh-TW/vi/id/th/de/ru/es/it/fr) with optional auto-detect.

When to use

  • You need high-quality Korean↔X translation (Papago is tuned for Korean).
  • You want a headless, dependency-light translator for agent pipelines.
  • You prefer official Naver Developer credentials over scraping.

    • Prerequisites

    1. Get credentials from Naver Developers β†’ create a Papago NMT app. 2. Export environment variables:

    export NAVER_CLIENT_ID="your-client-id"
export NAVER_CLIENT_SECRET="your-client-secret"

    3. Install:

    pip install naver-papago-translate

    or from source
    
pip install git+https://github.com/ChloePark85/naver-papago-translate

    CLI

    papago-translate --source ko --target en "μ•ˆλ…•ν•˜μ„Έμš”, λ§Œλ‚˜μ„œ λ°˜κ°€μ›Œμš”!"

    β†’ Hello, nice to meet you!
    Auto-detect source
    
papago-translate --detect --target ko "See you tomorrow!"
    Read from file, JSON output
    
papago-translate -s ko -t en -f notes.txt --json

    Options: -s/--source, -t/--target (required), -f/--file, --detect, --json, --timeout, -v/--verbose.

    Python API

    from papago_translate import translate_text, detect_language
    out = translate_text("ko", "en", "ν…ŒμŠ€νŠΈ μ€‘μž…λ‹ˆλ‹€.")
lang = detect_language("Bonjour")

    Supported languages

    ko, en, ja, zh-CN, zh-TW, vi, id, th, de, ru, es, it, fr β€” see Naver docs for the current list.

    Security

  • Credentials read only from env or flags; never logged unless --verbose.
  • HTTPS to openapi.naver.com.

    • References

  • Papago NMT: https://openapi.naver.com/v1/papago/n2mt
  • Detect language: https://openapi.naver.com/v1/papago/detectLangs
  • Source: https://github.com/ChloePark85/naver-papago-translate

    • ⚑ When to Use

    TriggerAction
    - You want a headless, dependency-light translator for agent pipelines.
    - You prefer official Naver Developer credentials over scraping.

    βš™οΈ Configuration

    1. Get credentials from Naver Developers β†’ create a Papago NMT app. 2. Export environment variables:

    export NAVER_CLIENT_ID="your-client-id"
export NAVER_CLIENT_SECRET="your-client-secret"

    3. Install:

    pip install naver-papago-translate

    or from source
    
pip install git+https://github.com/ChloePark85/naver-papago-translate