Convert TOML to TEX
Max file size 100mb.
TOML vs TEX Format Comparison
| Aspect | TOML (Source Format) | TEX (Target Format) |
|---|---|---|
| Format Overview |
TOML
Tom's Obvious Minimal Language
A minimal configuration file format created by Tom Preston-Werner in 2013. Designed with obvious semantics and formally specified grammar. Supports typed values including strings, integers, floats, booleans, dates, arrays, and tables. Standard format for Cargo.toml, pyproject.toml, Hugo, and Netlify configurations. Modern Config Typed Values |
TEX
LaTeX Document Format
A document preparation system created by Leslie Lamport built on Donald Knuth's TeX typesetting engine. The gold standard for academic and scientific publishing, producing publication-quality output with superior mathematical typesetting, bibliography management, and automated cross-referencing. Used extensively in mathematics, physics, computer science, and engineering. Academic Standard Publication Quality |
| Technical Specifications |
Structure: Hierarchical tables and key-value pairs
Encoding: UTF-8 required Data Types: String, Integer, Float, Boolean, DateTime, Array, Table Nesting: Tables and inline tables Extensions: .toml |
Structure: Macro-based markup language
Encoding: UTF-8 (with inputenc/fontenc) Data Types: Typeset text, math, figures, tables Nesting: Environments and commands Extensions: .tex, .ltx, .latex |
| Syntax Examples |
TOML uses clear typed syntax: [experiment] title = "Thermal Analysis" date = 2024-11-15 temperature = 293.15 pressure_kpa = 101.325 samples = 50 method = "differential scanning" |
LaTeX uses command-based markup: \documentclass{article}
\begin{document}
\section{Experiment: Thermal Analysis}
\begin{tabular}{ll}
\textbf{Date} & 2024-11-15 \\
\textbf{Temperature} & 293.15 K \\
\textbf{Pressure} & 101.325 kPa \\
\textbf{Samples} & 50 \\
\end{tabular}
\end{document}
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| Version History |
Introduced: 2013 (Tom Preston-Werner)
Current Version: TOML v1.0.0 (2021) Status: Stable, formally specified Evolution: Active development, growing adoption |
Introduced: 1984 (LaTeX by Leslie Lamport), TeX 1978
Current Version: LaTeX2e (maintained), LaTeX3 (development) Status: Actively maintained, industry standard Evolution: TeX (1978), LaTeX (1984), LaTeX2e (1994) |
| Software Support |
Cargo (Rust): Native support
Python: tomllib (3.11+), tomli, toml Go: BurntSushi/toml, pelletier/go-toml Other: Libraries for most languages |
TeX Live: Comprehensive TeX distribution
MiKTeX: Windows TeX distribution Overleaf: Online collaborative LaTeX editor Other: TeXShop, TeXstudio, VS Code with LaTeX Workshop |
Why Convert TOML to TEX?
Converting TOML configuration files to LaTeX TEX format enables you to include structured configuration data in academic papers, technical reports, and professional documentation with publication-quality typesetting. Researchers and engineers who document their software configurations as part of methodology sections, appendices, or supplementary materials benefit from having their TOML settings automatically formatted in LaTeX.
LaTeX excels at producing cleanly typeset tables, which is ideal for presenting configuration data. TOML tables become LaTeX tabular environments with properly aligned columns, bold headers, and horizontal rules. Nested TOML sections translate into LaTeX sections and subsections with automatic numbering. The resulting document compiles to a polished PDF that meets the formatting standards of academic journals and conference proceedings.
This conversion is particularly valuable in scientific computing and research contexts. Experiment parameters stored in TOML files -- such as simulation settings, model hyperparameters, or data processing configurations -- need to be documented alongside results. Converting TOML to LaTeX automates this documentation step, ensuring that published papers accurately reflect the actual configuration used in experiments, which is critical for reproducibility.
The LaTeX output is fully compilable and customizable. You can include the generated TEX file in a larger document using \input{} or \include{}, apply your journal's style class, add cross-references to configuration values from your main text, and use LaTeX's powerful macro system to customize the presentation. This integration makes TOML-to-TEX conversion a natural part of the scientific writing workflow.
Key Benefits of Converting TOML to TEX:
- Publication Quality: Professional typesetting for academic papers
- Reproducibility: Document exact configuration alongside results
- LaTeX Integration: Include via \input{} in larger documents
- Automated Tables: Clean tabular environments from TOML data
- Section Structure: TOML tables become LaTeX sections
- PDF Output: Compile to polished PDF documents
- Version Control: Plain text source works with git
Practical Examples
Example 1: Experiment Configuration for a Research Paper
Input TOML file (experiment.toml):
[model] architecture = "ResNet-50" pretrained = true learning_rate = 0.001 batch_size = 64 epochs = 100 optimizer = "Adam" [dataset] name = "ImageNet-1K" train_samples = 1281167 val_samples = 50000 augmentation = "random_crop, horizontal_flip" [hardware] gpu = "NVIDIA A100" gpu_count = 4 precision = "mixed_fp16"
Output TEX file (experiment.tex):
\documentclass{article}
\usepackage{booktabs}
\begin{document}
\section{Experiment Configuration}
\subsection{Model Parameters}
\begin{tabular}{@{}ll@{}}
\toprule
\textbf{Parameter} & \textbf{Value} \\
\midrule
Architecture & ResNet-50 \\
Pretrained & true \\
Learning Rate & 0.001 \\
Batch Size & 64 \\
Epochs & 100 \\
Optimizer & Adam \\
\bottomrule
\end{tabular}
\subsection{Dataset}
\begin{tabular}{@{}ll@{}}
\toprule
\textbf{Parameter} & \textbf{Value} \\
\midrule
Name & ImageNet-1K \\
Training Samples & 1,281,167 \\
Validation Samples & 50,000 \\
\bottomrule
\end{tabular}
\end{document}
Example 2: Software Project Appendix
Input TOML file (Cargo.toml):
[package]
name = "quantum-sim"
version = "2.0.0"
edition = "2021"
license = "Apache-2.0"
[dependencies]
nalgebra = "0.32"
rayon = "1.8"
serde = { version = "1.0", features = ["derive"] }
num-complex = "0.4"
Output TEX file (cargo-appendix.tex):
\section{Software Configuration}
\subsection{Package Metadata}
\begin{description}
\item[Name] \texttt{quantum-sim}
\item[Version] 2.0.0
\item[Edition] 2021
\item[License] Apache-2.0
\end{description}
\subsection{Dependencies}
\begin{tabular}{@{}lll@{}}
\toprule
\textbf{Crate} & \textbf{Version} & \textbf{Features} \\
\midrule
nalgebra & 0.32 & --- \\
rayon & 1.8 & --- \\
serde & 1.0 & derive \\
num-complex & 0.4 & --- \\
\bottomrule
\end{tabular}
Example 3: Infrastructure Documentation
Input TOML file (infra.toml):
[cluster] name = "prod-east" nodes = 12 kubernetes_version = "1.29" container_runtime = "containerd" [networking] cni = "Calico" pod_cidr = "10.244.0.0/16" service_cidr = "10.96.0.0/12" dns_provider = "CoreDNS" [storage] default_class = "gp3" provisioner = "ebs.csi.aws.com" reclaim_policy = "Delete"
Output TEX file (infra-doc.tex):
\section{Infrastructure Configuration}
\subsection{Cluster: prod-east}
\begin{tabular}{@{}ll@{}}
\toprule
\textbf{Setting} & \textbf{Value} \\
\midrule
Nodes & 12 \\
Kubernetes & 1.29 \\
Runtime & containerd \\
\bottomrule
\end{tabular}
\subsection{Networking}
\begin{tabular}{@{}ll@{}}
\toprule
\textbf{Setting} & \textbf{Value} \\
\midrule
CNI Plugin & Calico \\
Pod CIDR & \texttt{10.244.0.0/16} \\
Service CIDR & \texttt{10.96.0.0/12} \\
DNS & CoreDNS \\
\bottomrule
\end{tabular}
Frequently Asked Questions (FAQ)
Q: Is the generated TEX file ready to compile?
A: Yes. The output includes the necessary \documentclass, \usepackage declarations, and document environment. You can compile it directly with pdflatex, xelatex, or lualatex. If you want to include it in an existing document, you can remove the preamble and use \input{} to include just the content sections.
Q: How are TOML tables rendered in LaTeX?
A: TOML tables become LaTeX \section and \subsection headings. Key-value pairs within tables are rendered as booktabs-formatted tabular environments with bold column headers. Nested tables create deeper subsection levels. This produces clean, professional-looking output when compiled to PDF.
Q: Can I include the output in my existing LaTeX document?
A: Absolutely. Use \input{config.tex} or \include{config} in your main document. The converter generates content that works within any document class (article, report, book, or custom journal classes). Just ensure the required packages (booktabs, etc.) are loaded in your main preamble.
Q: Are special characters properly escaped for LaTeX?
A: Yes. Characters that have special meaning in LaTeX (such as &, %, $, #, _, {, }, ~, ^, \) are properly escaped in the output. URLs and file paths are wrapped in \texttt{} for monospaced display. This prevents compilation errors from special characters in your TOML values.
Q: Does the converter use the booktabs package for tables?
A: Yes. The generated tables use the booktabs package with \toprule, \midrule, and \bottomrule for publication-quality horizontal rules. This follows the typographic convention recommended by most academic journals and produces much cleaner tables than standard LaTeX table rules.
Q: Can I use this for documenting ML experiment hyperparameters?
A: Yes, this is one of the most popular use cases. Machine learning researchers store hyperparameters in TOML files for experiment tracking. Converting to LaTeX automates the creation of parameter tables for papers, ensuring the published values exactly match the configuration used in experiments.
Q: How are TOML arrays handled in the LaTeX output?
A: Simple arrays are rendered as itemize lists or comma-separated values within table cells. Arrays of tables become repeated tabular sections. The converter chooses the most appropriate LaTeX representation based on the array content and complexity.
Q: Can I compile the output on Overleaf?
A: Yes. The generated TEX file is fully compatible with Overleaf and any other LaTeX distribution. Upload the .tex file to Overleaf, and it will compile immediately. All required packages (booktabs, etc.) are available in standard TeX Live distributions used by Overleaf.