KonghaYao/cn-font-split

• highreadme#1

  Reposition README's opening paragraph to highlight core function and differentiators

  Why:

  CURRENT

  `cn-font-split` 是 **中文网字计划** 所使用的字体分包工具，通过高性能的各种技术将庞大的字体包拆分为适合网络分发的版本。经过七个大版本的字体研究与代码迭代，这项技术在我们的网站中得到了充分的应用，实现了中文字体在 Web 领域的加载速度与效率的双飞跃。`cn-font-split` 不仅支持中文，针对于中韩日文字、少数民族文字、阿拉伯文等皆有优化，可以根据实际字体包内字符进行智能地分包。

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  `cn-font-split` is a **high-performance, cross-platform font subsetter and optimizer** built with Rust and WebAssembly, specifically designed for **web fonts**, including complex CJK characters. It enables precise control over package size by splitting large `otf`, `ttf`, and `woff2` fonts into optimized subsets, leveraging multi-threading for rapid processing. This tool is ideal for web developers seeking to drastically improve font loading speed and efficiency across browsers, Node.js, Deno, Bun, and WASI environments, with seamless integration via frontend compiler plugins like `vite-plugin-font`.

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• mediumabout#2

  Refine repository description for clearer categorization

  Why:

  CURRENT

  划时代的字体切割工具，CJK与任何字符！支持 otf、ttf、woff2 字体多线程切割，完美地细颗粒度地进行包大小控制。A revolutionary font subetter that supports CJK and any characters! It enables multi-threaded subset of otf, ttf, and woff2 fonts, allowing for precise control over package size.

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  A revolutionary, high-performance **web font subsetter** for CJK and any characters. Built with Rust and WebAssembly, it supports multi-threaded subsetting of `otf`, `ttf`, and `woff2` fonts, enabling precise, granular control over package size for optimal web performance across all environments.

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• lowcomparison#3

  Add a "Comparison with Alternatives" section to the README

  Why:

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  ## Comparison with Alternatives
  
  While tools like `pyftsubset` (part of FontTools) offer font subsetting, `cn-font-split` differentiates itself with:
  
  - **Rust & WebAssembly Core:** Achieves native-level performance, enabling sub-second build times for large fonts.
  - **True Cross-Platform:** Runs consistently across browsers, Node.js, Deno, Bun, WASI, Linux, MacOS, and Windows, with identical output.
  - **Multi-threading:** Leverages modern CPU capabilities for significantly faster processing of `otf`, `ttf`, and `woff2` fonts.
  - **CJK & Complex Script Optimization:** Specifically optimized for the unique challenges of CJK and other complex character sets.
  - **Frontend Integration:** Provides dedicated compiler plugins (e.g., `vite-plugin-font`) for seamless integration into modern web development workflows (Vite, Nuxt, Next, Webpack, Rspack).

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How to reduce web font file size for CJK characters efficiently?

  you: not recommended
  AI recommended (in order):

  1. Glyphr Studio
  2. Font Squirrel Webfont Generator
  3. fonttools
  4. Google Fonts
  5. Adobe Fonts
  6. WOFF2
  7. WOFF
  8. EOT/TTF/OTF

  AI recommended 8 alternatives but never named KonghaYao/cn-font-split. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Looking for a fast, multi-threaded font optimization tool for OTF/TTF/WOFF2 across environments.

  you: not recommended
  AI recommended (in order):

  1. FontForge
  2. woff2 (Google's WOFF2 Compressor)
  3. pyftsubset (part of FontTools)
  4. fontbakery
  5. Glyphs.app
  6. ttfautohint

  AI recommended 6 alternatives but never named KonghaYao/cn-font-split. This is the gap to close.

  Show full AI answer

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of KonghaYao/cn-font-split?

  pass
  ✓AI named KonghaYao/cn-font-split explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts KonghaYao/cn-font-split in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named KonghaYao/cn-font-split explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo KonghaYao/cn-font-split solve, and who is the primary audience?

  pass
  ⚠AI did not name KonghaYao/cn-font-split — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?