以编程方式将 LaTeX 代码转换/解析为纯文本

I understand this is an old post, but since this post comes up often in latex-python-parsing searches (as evident by Extract only body text from arXiv articles formatted as .tex), leaving this here for folks down the line: Here's a LaTeX parser in Python that supports search over and modification of the parse tree, https://github.com/alvinwan/texsoup. Taken from the README, here is sample text and how you can interact with it via TexSoup.

from TexSoup import TexSoup
soup = TexSoup("""
egin{document}

section{Hello 	extit{world}.}

subsection{Watermelon}

(n.) A sacred fruit. Also known as:

egin{itemize}
item red lemon
item life
end{itemize}

Here is the prevalence of each synonym.

egin{tabular}{c c}
red lemon & uncommon \
life & common
end{tabular}

end{document}
""")

以下是如何导航解析树.

>>> soup.section  # grabs the first `section`
section{Hello 	extit{world}.}
>>> soup.section.name
'section'
>>> soup.section.string
'Hello \textit{world}.'
>>> soup.section.parent.name
'document'
>>> soup.tabular
egin{tabular}{c c}
red lemon & uncommon \
life & common
end{tabular}
>>> soup.tabular.args[0]
'c c'
>>> soup.item
item red lemon
>>> list(soup.find_all('item'))
[item red lemon, item life]