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API REFERENCEv2

LaTeX table to Avro schema API

Prepare Avro record-schema and data JSON from a LaTeX tabular dataset with the TableConvert conversion API. Remove TeX commands from header names before generating schema fields; the importer does not interpret macro meaning or original mathematical types.

REST APIv2 · Direct outputLaTeX table → Avro schema and data1 credits per successful conversion

Try this conversion

Inspect a real sample, preview locally, or send a live request with your own key.

Verified sample
POSThttps://api.tableconvert.com/v2/convert/latex-to-avro

Avro schema and data response

{
  "schema": {
    "type": "record",
    "name": "MyRecord",
    "fields": [
      {
        "name": "id",
        "type": "string"
      },
      {
        "name": "event",
        "type": "string"
      },
      {
        "name": "country",
        "type": "string"
      }
    ]
  },
  "data": [
    {
      "id": "101",
      "event": "signup",
      "country": "DE"
    },
    {
      "id": "102",
      "event": "purchase",
      "country": "FR"
    }
  ]
}

Local previews use no credits and process the first imported table or worksheet.

A successful live request uses 1 credits.

Your key is sent only to the conversion API and is never saved by this page.

Things to check before integrating

Before you integrate

Remove presentation macros and simplify merged columns before exporting plain cell values.

Before you integrate

The .avro label does not make this JSON an Avro binary container; field names still need validation.

Before you integrate

Normalize namespace prefixes, quoted identifiers or formatting characters before using headings as destination identifiers.

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 Avro schema API · cURL

curl --fail-with-body --max-time 40 \
  'https://api.tableconvert.com/v2/convert/latex-to-avro' \
  --header "Authorization: Bearer $TABLECONVERT_API_KEY" \
  --form-string 'data=\begin{table}[!ht]
    \centering
    \begin{tabular}{|l|l|l|}
    \hline
        id & event & country \\ \hline
        101 & signup & DE \\ \hline
        102 & purchase & FR \\ \hline
    \end{tabular}
\end{table}' \
  --output 'latex-to-avro.avro.json'

Requires cURL. Download the sample input first when this example uploads a file.

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.

ParameterTypeDefaultDescription
datastring—Inline LaTeX table content. Choose one of data, file or url.
filebinary—Upload a tex file using multipart/form-data.
urlstring—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 JSON containing a record schema and row data. This output is not an Avro object container file or binary Avro encoding.

This output format does not expose additional options.

Conversion rules

CaseBehavior
Mapping rule 1Ampersand-separated LaTeX cell text becomes a row; TeX commands are not evaluated.
Mapping rule 2The header defines string-valued schema fields and subsequent rows populate the data array.
Mapping rule 3Remove TeX commands from header names before generating schema fields; the importer does not interpret macro meaning or original mathematical types.

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

  • Header names become record field names, and generated field types are string.
  • The JSON has separate schema and data members; schema evolution and logical types require application review.
  • Validate Avro naming rules, then use an Avro library if a real binary container is required.

When to use this API

This conversion in practice

Use a LaTeX tabular dataset as the starting dataset for an Avro ingestion-schema prototype. Remove presentation macros and simplify merged columns before exporting plain cell values.

Avro schema and data

Draft a string-field record schema with sample data for an ingestion prototype.

Responses and errors

HTTP statusDescription
200text/plain; charset=utf-8
400Invalid input or conversion parameters.
402Insufficient credits for this request.
403Missing or invalid API key.
413The input exceeds the configured request limit.
415Unsupported input media type.
429Rate limit exceeded.
500The conversion could not be completed.
503The 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 credits

Using 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 overview

References and format specifications

Format references explain the underlying syntax. The conversion rules and samples above describe TableConvert’s implementation.