Tablizer

Convert LaTeX to Pandas DataFrame Online

Paste a LaTeX table below, edit it if you need to, and get Pandas DataFrame back. The conversion runs in your browser, so nothing is uploaded, there is no size limit and there is no signup.

From

The only part of this site that uses a server. The address is sent to it so the page can be fetched, because a browser is not allowed to fetch someone else's page itself. Your own files are never involved.

Nothing here is uploaded. The parsing happens on this page.
Edit
Paste or upload something above and it will appear here.
ToDataMarkupDocumentsCodeSchemasImages

The output will appear here once there is a table to convert.

What LaTeX is

A LaTeX table is a tabular environment: a column specification, ampersands between cells and double backslashes at the end of each row.

Academic papers, theses and anything typeset with LaTeX or written in Overleaf.

What Pandas DataFrame is

Python that builds a pandas DataFrame from a dictionary of columns.

Data analysis and notebooks.

What changes when you convert LaTeX to Pandas DataFrame

The tabular body is read, rules are dropped, and escaped characters are unescaped. Text wrapped in textbf or emph is reduced to the text itself.

The import line is included so the snippet runs as is. Turn type inference on and numeric columns arrive as numbers rather than strings, which is usually what you want in a DataFrame.

What carries over from LaTeX to Pandas DataFrame

One property of the LaTeX has no home in pandas, and it is worth knowing which before you convert.

pandas wants a type for each column, and LaTeX does not record one, so each column is typed from what its values look like. A column of digits that should stay text - a zip code, a phone number, a leading-zero id - is the usual thing to check afterwards.

Anything visual in the LaTeX - weight, alignment, colour, column widths - has no counterpart in pandas and is dropped. The values are what survives.

This is the direction that recovers structure: LaTeX has no table in it to read, only an arrangement that looks like one, so the rows and columns are inferred rather than read.

The identifier 007 comes out of the Pandas DataFrame as 007. Reading it as a number would have made it 7, and an id that changes value is worse than one that stays text.

The role "Analyst, data" survives with its comma, in one cell rather than split across two. That is the first thing to check in any converted table, and the usual place a Pandas DataFrame file goes wrong.

The quotes around Jonah "Jo" Pryce are escaped with a backslash in the Pandas DataFrame.

A worked example

Three rows of staff data, with an identifier that has a leading zero, a value containing a comma, a value containing quotes and one blank cell. Those are the four places formats disagree, so they are the four places to look.

LaTeX in
\begin{tabular}{lllll}
  \toprule
  id & name & role & started & hours \\
  \midrule
  007 & Halima Yusuf & Analyst, data & 2024-03-15 & 38.5 \\
  012 & Jonah "Jo" Pryce & Engineer & 2025-11-02 &  \\
  104 & Wei Chen & Manager & 2023-06-30 & 40 \\
  \bottomrule
\end{tabular}
Pandas DataFrame out
import pandas as pd

staff = pd.DataFrame({
    "id": ["007", "012", "104"],
    "name": ["Halima Yusuf", "Jonah \"Jo\" Pryce", "Wei Chen"],
    "role": ["Analyst, data", "Engineer", "Manager"],
    "started": ["2024-03-15", "2025-11-02", "2023-06-30"],
    "hours": ["38.5", "", "40"],
})

Questions

How do I convert LaTeX to Pandas DataFrame?

Paste your LaTeX into the box above or drop the file onto it. Check the table in the grid, then copy or download the Pandas DataFrame from the output panel. It takes one step and the data never leaves your browser.

Why does my table not compile?

The usual cause is a missing package. Booktabs rules need \usepackage{booktabs} in the preamble. Switch the rules option off and the output uses plain \hline instead, which needs nothing.

Is there a limit on file size?

No. The work happens on your own machine, so the limit is your machine's memory rather than an upload cap. A file with tens of thousands of rows converts in a second or two.

Is my data uploaded anywhere?

No. The parsing and generating are done by JavaScript running on this page. You can watch the network tab while you convert and see that nothing is sent.

Related conversions