---
id: pypptx-with-oxml
version: "1.0.3"
license: MIT
license_treatment: permissive
maintenance: aging
---

# pypptx-with-oxml — Create, read, and update PowerPoint 2007+ (.pptx) files.

License: permissive · Maintenance: aging · Downloads: 153.7K/mo

## What it is and what it does

pypptx-with-oxml is a fork of python-pptx that extends PowerPoint file manipulation with experimental MathML parsing. It lets you read, create, and modify .pptx files programmatically without requiring Microsoft Office, and adds the ability to extract mathematical equations from slides as LaTeX strings. The core library depends on Pillow, XlsxWriter, lxml, and typing_extensions.

The fork is still experimental and not recommended for production use. It passes tests on Python 3.10 and 3.11 but has known gaps: no tests or documentation exist for the new MathML features, and one font-properties test fails. The package also fixes TIFF image parsing, a separate improvement from the math extraction feature. Use it when you need to programmatically generate or analyze PowerPoint presentations, especially if you need to extract or work with embedded equations.

Use it for:

- Extract mathematical equations from PowerPoint slides as LaTeX for conversion to other formats.
- Generate PowerPoint presentations dynamically from database queries or JSON payloads.
- Analyze a corpus of PowerPoint files to extract text, images, and equations for indexing.
- Automate the creation of repetitive slide decks that would be tedious to build manually.
- Convert PowerPoint presentations to other formats while preserving math content.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Reads, creates, and updates PowerPoint (.pptx) files, with experimental support for parsing MathML equations from slides and converting them to LaTeX strings.

Yes, if you need to work with PowerPoint files programmatically and can tolerate experimental MathML support. The core library is stable, but this fork's new math-parsing features are not production-ready—test thoroughly before relying on equation extraction in critical workflows. No known security vulnerabilities. Low install friction and permissive MIT license make it reasonable for prototyping or non-critical automation.

## Install

pip install pypptx-with-oxml
uv add pypptx-with-oxml
poetry add pypptx-with-oxml

## Installing pypptx-with-oxml

Before you install: Low install friction with a pure-Python wheel and four common dependencies. Maintenance status is aging—last commit was 196 days ago and the repository has minimal activity (1 star)—but the package is not archived and passes tests on Python 3.10 and 3.11.

License in practice: MIT license is permissive, allowing use in commercial and private projects with minimal restrictions.

Quickstart:

pip install pypptx-with-oxml

from pypptx_with_oxml import Presentation

prs = Presentation('example.pptx')
for slide in prs.slides:
    for shape in slide.shapes:
        if hasattr(shape, 'text_frame'):
            for paragraph in shape.text_frame.paragraphs:
                for run in paragraph.runs:
                    print(run.text)

Requires Python 3.8 or later. MathML parsing is experimental and not yet production-ready.

Verify before relying:

- Whether MathML parsing works reliably on PowerPoint files from Microsoft Office or other sources.
- Performance characteristics when processing large presentations with many math elements.
- Compatibility with the original python-pptx ecosystem and whether this fork is a drop-in replacement.
- Status of the txt-font-props.feature test failure and its impact on real-world usage.
- Whether the TIFF image parsing fix is complete and tested.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: aging
- Downloads: 153.7K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

powerpoint pptx library python, create read update pptx files, mathml latex conversion powerpoint, extract equations from slides, powerpoint automation python, pptx parsing and generation, office document manipulation, office-automation, mathml-latex, experimental

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