OpenCC

What it is and what it does

OpenCC is a Python binding to an open-source Chinese character conversion engine that handles bidirectional conversion between Simplified and Traditional Chinese, plus Japanese Kanji (Shinjitai). It operates at both character and phrase level, preserving context-aware meaning and supporting regional vocabulary differences across Mainland China, Taiwan, and Hong Kong.

The package wraps a compiled C++ library and ships prebuilt wheels for modern Python versions on major platforms. It has no runtime dependencies and is designed for text processing pipelines where Chinese normalization or localization is needed. The conversion is deterministic and does not perform translation between languages or dialects.

Use it for:

• Normalize Chinese text in a document processing pipeline to a single script (e.g., all Simplified for consistency)
• Localize Chinese content for specific regions by converting vocabulary (e.g., '鼠标' to '滑鼠' for Taiwan)
• Prepare training data for NLP models by standardizing character representation across mixed-script corpora
• Convert user-generated content in web applications to a canonical form before storage or search indexing
• Handle Japanese Kanji modernization (Shinjitai) in text that mixes modern and historical forms

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Converts text between Traditional Chinese, Simplified Chinese, and Japanese Kanji, supporting character-level and phrase-level conversion with regional vocabulary variants.

Yes. The package is actively maintained, has no known vulnerabilities, uses a permissive license, and solves a specific, well-defined problem for Chinese text processing. Install friction is moderate but manageable via prebuilt wheels. Recommended for any project requiring Chinese character normalization or regional text adaptation.

Install

opencc on PyPI

pip install opencc

uv add opencc

poetry add opencc

Installing OpenCC

Before you install

Medium install friction due to compiled wheels; prebuilt binaries available for Python 3.10–3.13 on Windows, macOS (Intel and ARM), and Linux. Package is actively maintained with a recent release and no known vulnerabilities.

License in practice

Licensed under Apache License 2.0 (permissive); safe for commercial and proprietary use with standard attribution requirements.

Quickstart

pip install opencc

import opencc
converter = opencc.OpenCC('s2t.json')
result = converter.convert('汉字')
print(result)  # 漢字

Verify before relying

• Whether the package includes pre-downloaded conversion dictionaries or requires separate resource installation
• Performance characteristics for large-scale text conversion (throughput, latency)
• Whether custom conversion chains or inline configurations are accessible from the Python API

Package facts

Evidence: opencc-1.4.1-cp310-cp310-macosx_10_9_x86_64.whl; opencc-1.4.1-cp310-cp310-macosx_11_0_arm64.whl; opencc-1.4.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; opencc-1.4.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; opencc-1.4.1-cp310-cp310-win_amd64.whl; opencc-1.4.1-cp311-cp311-macosx_10_9_x86_64.whl; opencc-1.4.1-cp311-cp311-macosx_11_0_arm64.whl; opencc-1.4.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; opencc-1.4.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; opencc-1.4.1-cp311-cp311-win_amd64.whl; opencc-1.4.1-cp312-cp312-macosx_10_13_x86_64.whl; opencc-1.4.1-cp312-cp312-macosx_11_0_arm64.whl; opencc-1.4.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; opencc-1.4.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; opencc-1.4.1-cp312-cp312-win_amd64.whl; opencc-1.4.1-cp313-cp313-macosx_10_13_x86_64.whl; opencc-1.4.1-cp313-cp313-macosx_11_0_arm64.whl; opencc-1.4.1-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl; opencc-1.4.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; opencc-1.4.1-cp313-cp313-win_amd64.whl

Keywords: opencc, convert, chinese

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