$npx skillfedfor your agent

pypandoc-binary

Thin wrapper for pandoc.

Worth itPyPI Text ProcessingReleased Mar 20263.3M downloads / moMITPlatform wheel

Decision gist · record as of 2026-08-14

platform wheels — pypandoc_binary-1.17-py3-none-macosx_10_9_x86_64.whl · pypandoc_binary-1.17-py3-none-macosx_11_0_arm64.whl · pypandoc_binary-1.17-py3-none-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl
v1.17 · released 2026-03-14 · Python >=3.7

Yes. pypandoc_binary is worth installing if you need reliable document format conversion and want to avoid managing a separate pandoc installation. The bundled binary, active maintenance, permissive MIT license, and zero known vulnerabilities make it a low-risk choice. Install friction is moderate due to platform-specific wheels, but that's standard for packages with native binaries. Use the base pypandoc package instead if pandoc is already installed on your system.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.7 or later.
  • The bundled pandoc binary is included, but some output formats (odt, docx, epub, pdf) require writing to a file rather than returning a string.
  • Medium friction due to platform-specific wheels (Windows, macOS x86_64/arm64, Linux x86_64/aarch64, musl).

License · maintenance · safety

MIT (permissive) — MIT license (permissive) means you can use, modify, and distribute pypandoc_binary freely in commercial and private projects with minimal restrictions.

last release 2026-03-14 (153 days) · last repo commit 2026-08-12 · 1,151 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,314,781 downloads/mo, #2,663 on PyPI

Verify before relying

pip install pypandoc_binary
import pypandoc
output = pypandoc.convert_file('somefile.md', 'rst')
# or convert text directly:
output = pypandoc.convert_text('# Title', 'rst', format='md')
  • Whether the bundled pandoc version matches the latest upstream pandoc release or lags behind.
  • Performance characteristics when converting large documents or batch processing many files.
  • Compatibility with pandoc filters beyond the examples shown in the documentation.
Same gist for agents: .md · .json

What it is and what it does

pypandoc_binary is a Python wrapper around pandoc that bundles the pandoc binary, eliminating the need to install pandoc separately on your system. It provides a simple API to convert documents between formats—markdown, reStructuredText, HTML, DOCX, EPUB, PDF, and many others—either from files or from strings in memory. The package supports both basic conversions and advanced pandoc features like filters and extra arguments.

You use it by calling either `convert_file()` to transform a document on disk or `convert_text()` to convert a string. For formats like DOCX, EPUB, and PDF, you write directly to an output file. The package handles format inference from filenames, supports glob patterns and multiple input files, and integrates with pathlib. It's actively maintained, supports Python 3.7 through 3.15, and has no known security vulnerabilities.

Use it for

  • Convert markdown documentation to reStructuredText or HTML for publishing on different platforms.
  • Batch-convert multiple markdown files to DOCX or PDF for distribution as formatted documents.
  • Generate HTML from markdown in a web application or static site generator without external pandoc.
  • Transform between markup formats (e.g., Markdown to AsciiDoc) in a build pipeline or CI/CD workflow.
  • Programmatically apply pandoc filters and options to documents without shell scripting.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

pypandoc_binary is worth installing if you need reliable document format conversion and want to avoid managing a separate pandoc installation. The bundled binary, active maintenance, permissive MIT license, and zero known vulnerabilities make it a low-risk choice. Install friction is moderate due to platform-specific wheels, but that's standard for packages with native binaries. Use the base pypandoc package instead if pandoc is already installed on your system.

Install

pypandoc-binary on PyPI

Before you install

Medium friction due to platform-specific wheels (Windows, macOS x86_64/arm64, Linux x86_64/aarch64, musl). The package is actively maintained with a recent release and no known vulnerabilities, making it reliable for production use.

Requires Python 3.7 or later. The bundled pandoc binary is included, but some output formats (odt, docx, epub, pdf) require writing to a file rather than returning a string.

License in practice

MIT license (permissive) means you can use, modify, and distribute pypandoc_binary freely in commercial and private projects with minimal restrictions.

Quickstart

pip install pypandoc_binary
import pypandoc
output = pypandoc.convert_file('somefile.md', 'rst')
# or convert text directly:
output = pypandoc.convert_text('# Title', 'rst', format='md')

Verify before relying

  • Whether the bundled pandoc version matches the latest upstream pandoc release or lags behind.
  • Performance characteristics when converting large documents or batch processing many files.
  • Compatibility with pandoc filters beyond the examples shown in the documentation.

Package facts

LicenseMIT permissive
Python supportSupports the current Python release >=3.7
Install frictionMedium. Platform-specific wheel
Runtime dependenciesNone
MaintenanceActively maintained 153 days since the last release
Last repo commit
First released
Downloads3,314,781 / month, #2,663 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaEnvironment :: ConsoleIntended Audience :: DevelopersIntended Audience :: System AdministratorsLicense :: OSI Approved :: MIT LicenseOperating System :: POSIXProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.15Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Text ProcessingTopic :: Text Processing :: Filters

Evidence: pypandoc_binary-1.17-py3-none-macosx_10_9_x86_64.whl; pypandoc_binary-1.17-py3-none-macosx_11_0_arm64.whl; pypandoc_binary-1.17-py3-none-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl; pypandoc_binary-1.17-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; pypandoc_binary-1.17-py3-none-musllinux_1_2_aarch64.whl; pypandoc_binary-1.17-py3-none-musllinux_1_2_x86_64.whl; pypandoc_binary-1.17-py3-none-win_amd64.whl

Tags

Capabilities
document format conversionpandoc wrapper pythonmarkdown to docx converteruniversal document converterconvert between markup formatspandoc binary includedmarkdown rst html conversion
Topics
document-conversionmarkup-processingpandoc-wrapper

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “markdown to docx converter”

  • pypandoc-binarypypandoc_binary wraps pandoc, a universal document converter, and…
  • pypandocPypandoc wraps pandoc, a universal document converter, letting you…
  • mammothConverts Microsoft Word .docx documents to clean HTML or Markdown,…

Give your agent the search over MCP, or paste the wish link into any chat.

More Text Processing packages

regex Worth it
PyPI · Python Modules · released Jul 2026

A drop-in replacement for Python's standard `re` module that adds advanced regex features like nested sets, fuzzy matching, lookaround in conditionals, and full Unicode case-folding while maintaining backward compatibility.

Apache-2.0 AND CNRI-Pythoncompiled wheel · 3.10+
437.7Mdownloads / mo
pyparsing Worth it
PyPI · Text Processing · released Jan 2026

pyparsing provides a library for building text parsers directly in Python code using composable grammar classes, handling quoted strings, whitespace variation, and embedded comments without regex or lex/yacc.

Install it if you need to parse text or define grammars programmatically.

MITpure Python · 3.9+
412.7Mdownloads / mo
fonttools Worth it
PyPI · Text Processing · released May 2026

fonttools manipulates font files in multiple formats (TrueType, OpenType, AFM, Type 1, Mac-specific) and includes TTX, a tool to convert fonts to and from XML text format.

Install it if you need to read, write, or manipulate fonts programmatically or via the TTX command-line tool.

permissive licensepure Python · 3.10+
235.9Mdownloads / mo
docutils With conditions
PyPI · Software Development · released May 2026

Docutils converts plaintext documentation in reStructuredText format into multiple output formats including HTML, XML, and LaTeX using a modular processing system.

BSD-3-Clausepure Python · 3.9+
225.6Mdownloads / mo
RapidFuzz Worth it
PyPI · Text Processing · released Apr 2026

RapidFuzz provides fast fuzzy string matching using Levenshtein Distance and related metrics, implemented mostly in C++ with Python bindings for rapid similarity scoring and approximate string matching.

Install it if you need fuzzy string matching; it's a solid replacement for FuzzyWuzzy with better licensing and performance.

MITcompiled wheel · 3.10+
184.2Mdownloads / mo
tinycss2 Worth it
PyPI · Text Processing · released Nov 2025

tinycss2 parses CSS strings into token and block objects, and generates CSS strings from those objects, following the CSS Syntax Level 3 specification without enforcing specific properties or values.

Install it if your project requires CSS tokenization or syntax manipulation.

BSD-3-Clausepure Python · 3.10+
113.2Mdownloads / mo

See also pypandoc · pyandoc · pandoc · setuptools-markdown · panflute · docling · markitdown · mammoth · blacken-docs · pandocfilters