Skip to main content

Convert PPTX to text using python-pptx

Project description

pyconverters_pypowerpoint

license tests codecov docs version PyPI - Python Version

Convert PPTX presentations to Markdown using python-pptx.

Features

  • Converts PowerPoint slides to Markdown text (headings, lists, paragraphs, tables)
  • Optionally segments the output by slide (one Sentence span per page)
  • Optionally extracts embedded images as base64 data URIs, either as Markdown links or as AltText objects attached to the document
  • Registers as a pyconverters plugin under the entry point pypowerpoint

Requirements

  • Python ≥ 3.12

Installation

pip install pyconverters_pypowerpoint

Parameters

Parameter Type Default Description
one_segment_per_powerpoint_page bool False Add one Sentence span per slide in the output document
include_image_base64_as_links bool False Embed images as ![name](data:image/...;base64,...) links in the Markdown text
include_image_base64_as_altTexts bool False Attach images as AltText objects on the document (with mime-type property)

Developing

Pre-requisites

Install uv:

pip install uv

Clone the repository:

git clone https://github.com/oterrier/pyconverters_pypowerpoint
cd pyconverters_pypowerpoint

Install the package with test dependencies:

uv sync --extra test

Running the test suite

uv run pytest

Linting

uv run ruff check .
uv run ruff format --check .

Building the documentation

uv run --extra docs sphinx-build docs docs/_build

The built documentation is available at docs/_build/index.html.

SBOM & vulnerability check

Install the SBOM dependencies:

uv sync --extra sbom

Generate a CycloneDX SBOM from the current environment:

uv run cyclonedx-py environment -o sbom.cdx.json --output-format json

Audit dependencies for known vulnerabilities:

uv run pip-audit --format json --output audit-report.json

To fail on any known vulnerability (useful in CI):

uv run pip-audit --strict

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

pyconverters_pypowerpoint-0.6.19.tar.gz (102.9 MB view details)

Uploaded Source

Built Distribution

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

pyconverters_pypowerpoint-0.6.19-py3-none-any.whl (18.3 kB view details)

Uploaded Python 3

File details

Details for the file pyconverters_pypowerpoint-0.6.19.tar.gz.

File metadata

  • Download URL: pyconverters_pypowerpoint-0.6.19.tar.gz
  • Upload date:
  • Size: 102.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.12 {"installer":{"name":"uv","version":"0.10.12","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"12","id":"bookworm","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for pyconverters_pypowerpoint-0.6.19.tar.gz
Algorithm Hash digest
SHA256 038598df7b80b25dda19cad20e3ee856b371038d93a46a3887c991fa619efb02
MD5 61f0c53b1872b3fc634a792d1d1816b1
BLAKE2b-256 f10d726a1b1577728b66d975ed565b2d27c93b6e2b7d4126e20caff4ecef252c

See more details on using hashes here.

File details

Details for the file pyconverters_pypowerpoint-0.6.19-py3-none-any.whl.

File metadata

  • Download URL: pyconverters_pypowerpoint-0.6.19-py3-none-any.whl
  • Upload date:
  • Size: 18.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.12 {"installer":{"name":"uv","version":"0.10.12","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"12","id":"bookworm","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for pyconverters_pypowerpoint-0.6.19-py3-none-any.whl
Algorithm Hash digest
SHA256 736f71228c527235fab59e8f0502ee3854ce44f1e1d467507b3e80f1aba4c838
MD5 9a1b1ce82d2a260af69793517d2c2d88
BLAKE2b-256 125a16c3fec290e290cf7b847d2fee6a1acc6a0b6b9287dd0a428b4ee010d29d

See more details on using hashes here.

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