Skip to main content

Typeset plain-text formulas in DOCX files as native Word equations — cross-platform, no Office required.

Project description

MathFmt

CI

中文 | English

MathFmt turns plain-text formulas in Word documents into native Word OMML equations — stacked fractions, radicals, superscripts, subscripts, derivatives, and standard mathematical operators — suitable for textbooks, exams, and technical reports.


Status

Beta (v0.2.0). Cross-platform OMML, confidence scoring, and expanded formula support.


中文

MathFmt 将 DOCX 中的普通文本公式排版为 Word 原生 OMML 公式。

快速示例

输入(纯文本) 输出(Word 原生公式)
ds(t)/dt 堆叠分式 d s(t) / d t
s'(t) = -s''(t) 导数分数形式
sqrt(x^2 + 1) 根号 √(x²+1)
x^3 + p1 上标 x³ + 下标 p₁
x != 0 x ≠ 0
sin(x) + cos(x) sin(x) + cos(x)
lim(p->0) lim 带下置 p→0
a/(b+c) 堆叠分式
e^(p1*t) e 的 p₁t 次幂
1(t) u(t)(单位阶跃)
Delta + pi Δ + π
x, y, z 逗号分隔序列

兼容性

Windows 10/11 macOS Linux
Python 3.10–3.13
公式扫描
OMML 公式输出(内置 Python 后端)
OMML 公式输出(Office XSL 后端) ✔¹ ✔¹
Word 渲染 ✔²

¹ 需手动指定 MML2OMML.XSL 路径(--xsl)。
² macOS 版 Microsoft Word。

命令

mathfmt scan    input.docx --report candidates.json   # 扫描公式候选
mathfmt apply   input.docx --review candidates.json --output out.docx --report result.json  # 审核后转换
mathfmt convert input.docx                           # 保守一键转换
mathfmt validate input.docx                           # 离线结构验证
mathfmt doctor                                        # 环境诊断
mathfmt update                                        # 检查 GitHub 更新

更新

mathfmt update              # 检查更新并显示安装命令
mathfmt update --check      # CI 模式:有更新时退出码 1,最新时退出码 0
mathfmt update --pre        # 包含预发布版本
mathfmt update --force      # 跳过缓存,立即检查 GitHub

检测结果缓存 1 小时。也可直接运行:

pip install --upgrade mathfmt

版本路线

版本 内容
0.1.0 (2026-06-21) 基础扫描、审核、转换;原生 Word 公式输出;Windows + Office
0.2.0 (2026-Q3) 跨平台内置 OMML;置信度评分;独立验证;积分/求和/矩阵/向量/分段
0.3.0 (2026-Q4) 正式语法引擎;LaTeX 输入;性能优化
1.0.0 (2027) 稳定 API;长期支持

更多文档

维护

单人维护(Leo),尽力响应。欢迎提交 Issue 和 PR。安全漏洞请参阅 SECURITY.md


English

MathFmt converts plain-text formulas in DOCX files into native Word OMML equations.

Quick Examples

Input (plain text in DOCX) Output (native Word equation)
ds(t)/dt Stacked fraction d s(t) / d t
s'(t) = -s''(t) Leibniz fraction derivatives
sqrt(x^2 + 1) Radical √(x²+1)
x^3 + p1 Superscript x³ + subscript p₁
x != 0 x ≠ 0
sin(x) + cos(x) sin(x) + cos(x)
lim(p->0) lim with under-script p→0
a/(b+c) Stacked fraction
e^(p1*t) e raised to p₁t
1(t) u(t) (unit step)
Delta + pi Δ + π
x, y, z Comma-separated sequence

Compatibility

Windows 10/11 macOS Linux
Python 3.10–3.13
Formula scanning
OMML output (built-in Python backend)
OMML output (Office XSL backend) ✔¹ ✔¹
Word rendering ✔²

¹ Manual --xsl path required for Office XSL backend.
² Microsoft Word for Mac.

Commands

mathfmt scan    input.docx --report candidates.json   # Scan formula candidates
mathfmt apply   input.docx --review candidates.json --output out.docx --report result.json  # Apply reviewed candidates
mathfmt convert input.docx                           # Conservative one-step conversion
mathfmt validate input.docx                           # Offline structure validation
mathfmt doctor                                        # Environment check
mathfmt update                                        # Check GitHub for updates

Updating

mathfmt update              # Check for updates and show install commands
mathfmt update --check      # CI mode: exit 1 when update available, 0 when current
mathfmt update --pre        # Include pre-release versions
mathfmt update --force      # Skip cache, re-check GitHub immediately

Check results are cached for 1 hour. You can also upgrade directly:

pip install --upgrade mathfmt

Version Roadmap

Version Scope
0.1.0 (2026-06-21) Scan, review, convert; native Word OMML; Windows + Office
0.2.0 (2026-Q3) Cross-platform built-in OMML; confidence scoring; validate; integrals, sums, matrices
0.3.0 (2026-Q4) Formal grammar engine; LaTeX input; performance
1.0.0 (2027) Stable API; long-term support

Further Reading

  • Formula Syntax Reference — every preprocessing rule, the full grammar, MathML output mapping, and known limitations
  • Workflow Guide — step-by-step install, review flow, troubleshooting, CI usage

Maintenance

Single-maintainer project (Leo), best-effort response. Issues and pull requests are welcome. See CONTRIBUTING.md, CODE_OF_CONDUCT.md, and SECURITY.md.


Contributing

Issues and pull requests are welcome.

License

MIT License. Copyright (c) 2026 Leo.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mathfmt-0.2.1.tar.gz (40.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mathfmt-0.2.1-py3-none-any.whl (24.8 kB view details)

Uploaded Python 3

File details

Details for the file mathfmt-0.2.1.tar.gz.

File metadata

  • Download URL: mathfmt-0.2.1.tar.gz
  • Upload date:
  • Size: 40.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mathfmt-0.2.1.tar.gz
Algorithm Hash digest
SHA256 fa2255fe1ee1b26d3c96ad6212a1d84c0f1710f67f231b5608424bf9eded6a76
MD5 567e9be3587bfcc21db2b3fb6b30a96f
BLAKE2b-256 76ba720f67dd62008b1c22d9bc7bc7f3e9692298423ba990ef1b80bb92def507

See more details on using hashes here.

Provenance

The following attestation bundles were made for mathfmt-0.2.1.tar.gz:

Publisher: publish.yml on gml853503962-creator/mathfmt

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mathfmt-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: mathfmt-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 24.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mathfmt-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 566ad5e237071c692f3a40a3f3725289e444c8879de53496994f4fde3d0e7ee9
MD5 8fe168e19abd09feaba3af0e01b41939
BLAKE2b-256 6f1db403b817468932f17d59dba9573f5759ece250756fb815f25a46955e4a16

See more details on using hashes here.

Provenance

The following attestation bundles were made for mathfmt-0.2.1-py3-none-any.whl:

Publisher: publish.yml on gml853503962-creator/mathfmt

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page