YaLafi

This Python package extracts plain text from LaTeX documents. The software may be integrated with a proofreading tool and an editor. It provides

• mapping of character positions between LaTeX and plain text,
• simple inclusion of own LaTeX macros and environments with tailored
  treatment,
• careful conservation of text flows,
• some parsing of displayed equations for detection of included “normal” text
  and of interpunction problems,
• support of multi-language documents (experimental).

A complete description is available at the GitHub page.

The sample Python application script yalafi/shell/shell.py integrates the LaTeX filter with the proofreading software LanguageTool. It sends the extracted plain text to the proofreader, maps position information in returned messages back to the LaTeX text, and generates results in different formats. You may easily

• create a proofreading report in text or HTML format for a complete
  document tree,
• check LaTeX texts in the editors Emacs and Vim via several plug-ins,
• run the script as emulation of a LanguageTool server with integrated
  LaTeX filtering.

For instance, the LaTeX input

Only few people\footnote{We use
\textcolor{red}{redx colour.}}
is lazy.

will lead to the text report

1.) Line 2, column 17, Rule ID: MORFOLOGIK_RULE_EN_GB
Message: Possible spelling mistake found
Suggestion: red; Rex; reds; redo; Red; Rede; redox; red x
Only few people is lazy.    We use redx colour. 
                                   ^^^^
2.) Line 3, column 1, Rule ID: PEOPLE_VBZ[1]
Message: If 'people' is plural here, don't use the third-person singular verb.
Suggestion: am; are; aren
Only few people is lazy.    We use redx colour. 
                ^^

This is the corresponding HTML report: