antiword
Spew anything out as text to stdout
Decision gist · record as of 2026-08-14
No. The package is abandoned with no updates since 2021-10-19, making it a maintenance liability. For active document-to-text conversion, use maintained alternatives. If you must wrap LibreOffice, consider writing a small inline helper rather than depending on unmaintained code.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- LibreOffice must be installed and available on the system PATH for the package to function.
- Low install friction with no runtime dependencies.
- However, the package is abandoned—last release was 2021-10-19 with no commits since.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing commercial and private use with minimal restrictions.
last release 2021-10-19 (1760 days) · last repo commit 2021-10-19
0 known vulnerabilities (OSV.dev, 2026-08-14) · 76,568 downloads/mo, #14,615 on PyPI
Alternatives
Verify before relying
pip install antiword
import antiword
text_output = antiword.convert(document_path)- Whether LibreOffice must be pre-installed or if the package handles installation
- Which document formats are supported beyond what LibreOffice can convert
- Performance characteristics and memory usage for large documents
What it is and what it does
Antiword is a thin Python wrapper around LibreOffice's command-line text conversion tool. It invokes `libreoffice --convert-to txt` to convert documents to plain text, capturing the output and cleaning up temporary files automatically. The package has no runtime dependencies beyond requiring LibreOffice itself to be available on the system.
The package is designed as a convenience layer for developers who need to extract text from documents programmatically. Since its single release in October 2021, it has received no updates or maintenance. It requires Python 3.9+ and is suitable only for environments where LibreOffice is already installed or can be reliably provisioned.
Use it for
- Extract text from Word documents or other office formats in a Python script
- Batch convert document collections to plain text for text processing pipelines
- Build document indexing or search systems that need text extraction from office files
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned with no updates since 2021-10-19, making it a maintenance liability. For active document-to-text conversion, use maintained alternatives. If you must wrap LibreOffice, consider writing a small inline helper rather than depending on unmaintained code.
Install
antiword on PyPI
Before you install
Low install friction with no runtime dependencies. However, the package is abandoned—last release was 2021-10-19 with no commits since. Requires Python 3.9+ and depends on LibreOffice being installed on the system.
LibreOffice must be installed and available on the system PATH for the package to function.
License in practice
MIT license is permissive, allowing commercial and private use with minimal restrictions.
Quickstart
pip install antiword
import antiword
text_output = antiword.convert(document_path)
Verify before relying
- Whether LibreOffice must be pre-installed or if the package handles installation
- Which document formats are supported beyond what LibreOffice can convert
- Performance characteristics and memory usage for large documents
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9,<4.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,760 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 76,568 / month, #14,615 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.9 |
Evidence: antiword-0.1.0-py3-none-any.whl
Tags
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 › “document to text conversion”
- antiwordWraps LibreOffice's text conversion to convert documents to plain…
- pyth3Converts marked-up text between formats including plain text, XHTML,…
- pyandocPyandoc wraps Pandoc to convert between document formats by reading…
Give your agent the search over MCP, or paste the wish link into any chat.
More Text Processing packages
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.
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.
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.
Docutils converts plaintext documentation in reStructuredText format into multiple output formats including HTML, XML, and LaTeX using a modular processing system.
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.
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.
See also unoserver · strip-markdown · pyphen · html-text · textract · pdftext · pyandoc · docling · liteparse · mdit-plain