Convert Typst to TEX

Why Convert Typst to LaTeX/TeX?

Converting Typst to LaTeX is one of the most important conversion workflows for academic authors who write in Typst but need to submit to journals that require LaTeX source files. While Typst offers a superior authoring experience with faster compilation and cleaner syntax, the academic publishing ecosystem still overwhelmingly requires LaTeX submissions. This conversion bridges that gap.

Many researchers are adopting Typst for drafting because of its instant compilation, helpful error messages, and readable syntax. However, when it comes time to submit to venues like IEEE, ACM, Springer, or Elsevier journals, LaTeX source files with specific class files are mandatory. Converting Typst to TeX allows authors to enjoy Typst's writing experience while meeting publisher requirements.

The conversion maps Typst's clean markup to equivalent LaTeX commands: = headings become \section, *bold* becomes \textbf, $ math $ translates to LaTeX math mode, and #table() becomes tabular environments. The resulting LaTeX source is clean, readable, and ready for compilation with standard TeX distributions.

Collaboration is another key driver for this conversion. While a growing number of researchers use Typst, many collaborators, advisors, and reviewers still work exclusively in LaTeX. Converting to TeX ensures that your document can be shared, edited, and reviewed within the established LaTeX workflow that the broader academic community relies upon.

Key Benefits of Converting Typst to LaTeX:

• Journal Submission: Meet publisher requirements for LaTeX source files
• Ecosystem Access: Use LaTeX's vast package library (CTAN)
• Collaboration: Share with colleagues who use LaTeX exclusively
• Template Compatibility: Apply publisher-specific LaTeX class files
• Overleaf Integration: Upload to Overleaf for collaborative editing
• Best of Both Worlds: Write in Typst, submit in LaTeX
• Archive Compatibility: Store in the universally supported LaTeX format

Practical Examples

Example 1: Paper with Equations

Input Typst file (paper.typ):

= Neural Network Training

== Loss Function

The cross-entropy loss is defined as:

$ cal(L) = -1/N sum_(i=1)^N
  [y_i log(hat(y)_i) +
   (1-y_i) log(1-hat(y)_i)] $

where $N$ is the batch size and
$hat(y)_i$ is the predicted probability.

Output TeX file (paper.tex):

\documentclass{article}
\usepackage{amsmath}
\begin{document}

\section{Neural Network Training}

\subsection{Loss Function}

The cross-entropy loss is defined as:

\[
\mathcal{L} = -\frac{1}{N} \sum_{i=1}^{N}
  [y_i \log(\hat{y}_i) +
   (1-y_i) \log(1-\hat{y}_i)]
\]

where $N$ is the batch size and
$\hat{y}_i$ is the predicted probability.

\end{document}

Example 2: Document with Table and Figure

Input Typst file (results.typ):

== Experimental Results

#figure(
  table(
    columns: 3,
    [*Model*], [*Accuracy*], [*Params*],
    [ResNet],  [94.2%],      [25.6M],
    [ViT],     [96.1%],      [86.4M],
  ),
  caption: [Model comparison on ImageNet],
) 

As shown in @tab:results, the Vision
Transformer achieves higher accuracy.

Output TeX file (results.tex):

\subsection{Experimental Results}

\begin{table}[h]
\centering
\caption{Model comparison on ImageNet}
\label{tab:results}
\begin{tabular}{lll}
\hline
\textbf{Model} & \textbf{Accuracy} & \textbf{Params} \\
\hline
ResNet & 94.2\% & 25.6M \\
ViT    & 96.1\% & 86.4M \\
\hline
\end{tabular}
\end{table}

As shown in Table~\ref{tab:results}, the
Vision Transformer achieves higher accuracy.

Example 3: Scripted Content with Bibliography

Input Typst file (review.typ):

= Literature Review

#let methods = ("SVM", "Random Forest", "XGBoost")

The following methods were reviewed:
#for method in methods [
  - *#method*: widely used in practice
]

Recent work by @vaswani2017 introduced
the _Transformer_ architecture, which
revolutionized natural language processing.

Output TeX file (review.tex):

\section{Literature Review}

The following methods were reviewed:
\begin{itemize}
  \item \textbf{SVM}: widely used in practice
  \item \textbf{Random Forest}: widely used in practice
  \item \textbf{XGBoost}: widely used in practice
\end{itemize}

Recent work by \cite{vaswani2017} introduced
the \textit{Transformer} architecture, which
revolutionized natural language processing.

Frequently Asked Questions (FAQ)

Q: Why convert Typst to LaTeX if Typst is newer?

A: While Typst offers a better authoring experience, academic journals universally require LaTeX submissions. Converting allows you to write in Typst's clean syntax and then generate LaTeX for journal submission, grant proposals, and collaboration with LaTeX-using colleagues.

Q: How well do Typst math expressions convert to LaTeX?

A: Most Typst math expressions have direct LaTeX equivalents. Typst's $ E = m c^2 $ becomes $E = mc^2$, function names like cal() map to \mathcal{}, and operators like sum, integral, and frac translate directly. Some Typst-specific math shorthands may require manual adjustment for complex edge cases.

Q: What happens to Typst scripting (#let, #for, #if)?

A: Typst scripting constructs are evaluated and their output is converted to static LaTeX content. A #for loop generating list items becomes a LaTeX itemize environment with the expanded items. #let variable bindings are resolved to their values. The LaTeX output represents the final document content, not the programmatic logic.

Q: Can I apply a specific journal template to the LaTeX output?

A: The converter generates standard LaTeX using the article document class. To use a specific journal template (e.g., IEEE, ACM, Springer), you would need to adjust the \documentclass and add required packages. The content sections, equations, tables, and references will work with any LaTeX class file.

Q: Are Typst cross-references preserved?

A: Yes. Typst labels like become \label{tab:results}, and references like @tab:results become \ref{tab:results}. Citation references using @key become \cite{key}. The LaTeX cross-referencing system is fully compatible with Typst's reference model.

Q: How are Typst's #table() and #figure() converted?

A: Typst's #table() becomes a LaTeX tabular environment, and #figure() wraps it in a float with \caption and \label. Column alignments, header formatting, and cell content are preserved. The resulting LaTeX tables compile correctly with standard packages.

Q: Can I upload the converted TeX to Overleaf?

A: Yes. The generated LaTeX file is fully compatible with Overleaf and any other LaTeX editor. Upload the .tex file to Overleaf, add any required packages or bibliography files, and compile. This is a common workflow for researchers who draft in Typst and collaborate on Overleaf.

Q: What about Typst packages and imports?

A: Typst package functionality is converted to equivalent LaTeX packages where available. For example, Typst's built-in bibliography support maps to BibTeX or biblatex. Custom Typst package features that have no LaTeX equivalent are resolved to their output content rather than preserved as package calls.