Question 1

What input formats are supported?

Accepted Answer

The tool supports three formats: CSV (comma-separated values, parsed with header row), JSON (array of objects where keys become column headers), and XML (simple repeating element structure where child tags become columns).

Question 2

What should my JSON input look like?

Accepted Answer

The JSON input must be an array of objects. For example: [{"name":"Alice","age":30},{"name":"Bob","age":25}]. All keys from the first object are used as column headers. Nested objects are serialized as JSON strings.

Question 3

How does the XML parser work?

Accepted Answer

The XML parser looks for the first repeating child element and extracts its child tag values as columns. It is designed for simple, flat XML structures. For complex or deeply nested XML, a dedicated XML parser would give better results.

Question 4

What is the Markdown table format?

Accepted Answer

The output uses standard GitHub Flavored Markdown table syntax: a header row with | separators, a separator row with --- per column, and data rows. This format renders correctly in GitHub, GitLab, Notion, and most Markdown editors.

Question 5

Is there a row limit?

Accepted Answer

There is no row limit. The conversion runs in real time in your browser. Very large datasets may slow rendering, but there is no enforced maximum. For CSV files, the tool uses the PapaParse library for accurate parsing.

CSV / JSON / XML do Markdown

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