Things to check before integrating
Before you integrate
Remove presentation macros and simplify merged columns before exporting plain cell values.
Before you integrate
Textile tables require a Textile-aware renderer; Markdown rendering is not equivalent.
Code examples
These examples send the sample as multipart/form-data and save the returned bytes unchanged. Set TABLECONVERT_API_KEY in your environment.
LaTeX table to Textile table API · cURL
curl --fail-with-body --max-time 40 \
'https://api.tableconvert.com/v2/convert/latex-to-textile' \
--header "Authorization: Bearer $TABLECONVERT_API_KEY" \
--form-string 'data=\begin{table}[!ht]
\centering
\begin{tabular}{|l|l|l|}
\hline
project & owner & stage \\ \hline
Website & Alice & Review \\ \hline
API & Bob & Released \\ \hline
\end{tabular}
\end{table}' \
--form-string 'output[escape]=true' \
--form-string 'output[rowHeader]=true' \
--form-string 'output[thead]=true' \
--output 'latex-to-textile.textile'Requires cURL. Download the sample input first when this example uploads a file.
LaTeX table to Textile table API · Python
import os
from pathlib import Path
import requests
endpoint = "https://api.tableconvert.com/v2/convert/latex-to-textile"
headers = {"Authorization": "Bearer " + os.environ["TABLECONVERT_API_KEY"]}
fields = {
"data": (None, "\\begin{table}[!ht]\r\n \\centering\r\n \\begin{tabular}{|l|l|l|}\r\n \\hline\r\n project & owner & stage \\\\ \\hline\n Website & Alice & Review \\\\ \\hline\n API & Bob & Released \\\\ \\hline\n \\end{tabular}\r\n\\end{table}"),
"output[escape]": (None, "true"),
"output[rowHeader]": (None, "true"),
"output[thead]": (None, "true"),
}
response = requests.post(endpoint, headers=headers, files=fields, timeout=40)
response.raise_for_status()
Path("latex-to-textile.textile").write_bytes(response.content)Requires Python 3 and requests. Install it with pip install requests.
LaTeX table to Textile table API · Node.js
import { writeFile } from "node:fs/promises";
const form = new FormData();
form.set("data", "\\begin{table}[!ht]\r\n \\centering\r\n \\begin{tabular}{|l|l|l|}\r\n \\hline\r\n project & owner & stage \\\\ \\hline\n Website & Alice & Review \\\\ \\hline\n API & Bob & Released \\\\ \\hline\n \\end{tabular}\r\n\\end{table}");
form.set("output[escape]", "true");
form.set("output[rowHeader]", "true");
form.set("output[thead]", "true");
const response = await fetch("https://api.tableconvert.com/v2/convert/latex-to-textile", {
method: "POST",
headers: { Authorization: "Bearer " + process.env.TABLECONVERT_API_KEY },
body: form,
signal: AbortSignal.timeout(40_000),
});
if (!response.ok) {
throw new Error("HTTP " + response.status + ": " + await response.text());
}
await writeFile("latex-to-textile.textile", Buffer.from(await response.arrayBuffer()));Requires Node.js 20 or later with built-in fetch, FormData and Blob.
Authentication
Send Authorization: Bearer YOUR_API_KEY. Let the HTTP client set the multipart boundary; do not set Content-Type manually.
Keep production API keys in server-side environment variables.
Request parameters
This input extracts rows containing ampersand-separated table cells. It does not compile TeX or render an entire LaTeX document.
| Parameter | Type | Default | Description |
|---|---|---|---|
data | string | — | Inline LaTeX table content. Choose one of data, file or url. |
file | binary | — | Upload a tex file using multipart/form-data. |
url | string | — | A supported publicly accessible HTTP or HTTPS file URL. |
Send one source: data, file, or url. The examples below use the source mode appropriate for this format.
Output options
Generate Textile table markup with header and table-section settings. The output targets a Textile renderer rather than generic Markdown.
| Parameter | Type | Default | Description |
|---|---|---|---|
output[escape] | boolean | true | Escape characters meaningful to the destination markup when cells should remain plain text. |
output[rowHeader] | boolean | true | Mark the first row as a header using the destination table notation. |
output[thead] | boolean | true | Generate explicit table-head/body sections in the destination markup. |
Conversion rules
| Case | Behavior |
|---|---|
| Mapping rule 1 | Ampersand-separated LaTeX cell text becomes a row; TeX commands are not evaluated. |
| Mapping rule 2 | The first row can receive Textile header markers and later rows become pipe-separated cells. |
| Mapping rule 3 | Rebuild only extracted table rows in the destination notation; package macros, merged columns and the surrounding TeX document are not translated. |
How the input is read
- Provide the tabular rows needed for conversion, with ampersands between cells and row terminators.
- The importer splits table text; it does not evaluate macros, packages, math or custom column definitions.
- Simplify multicolumn/multirow constructs and literal ampersands before extraction.
- Formatting commands can remain text in extracted cells; clean them when the destination expects plain values.
How the output is written
- Headers use Textile cell markers and optional table-head section notation.
- Escaping wraps selected special characters; inspect cell content in the intended renderer.
- Source formatting is reduced to cell text rather than translated as a full document.
When to use this API
This conversion in practice
Use a LaTeX tabular dataset as the starting dataset for a Textile publishing or issue-tracking field. Remove presentation macros and simplify merged columns before exporting plain cell values.
Textile table
Prepare a table for a Textile-backed publishing or issue-tracking system.
Responses and errors
| HTTP status | Description |
|---|---|
200 | text/plain; charset=utf-8 |
400 | Invalid input or conversion parameters. |
402 | Insufficient credits for this request. |
403 | Missing or invalid API key. |
413 | The input exceeds the configured request limit. |
415 | Unsupported input media type. |
429 | Rate limit exceeded. |
500 | The conversion could not be completed. |
503 | The renderer is unavailable or the request timed out. |
Check the response before retrying. A new HTTP request is a new conversion and may use credits again.
Limits, billing and versions
Local previews accept up to 200 KB. The current API implementation allows one uploaded file up to 50 MiB, limits each multipart text field to 1 MiB, and gives v2 conversion tasks a 30-second deadline. Deployment limits may be stricter. Read the returned error before retrying; some parser or renderer failures return HTTP 500.
Live calls follow the API credit policy. Failed conversions are refunded; a completed conversion is not undone if the download connection later fails.
View API pricing and creditsUsing API v1?
This page documents v2, which returns the output directly. API v1 wraps the result in a JSON envelope. Check the overview before changing an existing integration.
API overviewReferences and format specifications
Format references explain the underlying syntax. The conversion rules and samples above describe TableConvert’s implementation.