What happens to missing keys?

Columns are the union of all keys across every object, so if some objects lack a key, those cells are rendered empty. This keeps the table rectangular even when records have different shapes.

How are nested objects and arrays handled?

Nested values are serialized to compact JSON inside the cell, and any pipe characters or newlines are escaped or collapsed so they do not break the markdown table structure. For deeply nested data, flatten it first for the cleanest result.

Does my data leave my browser?

No. The entire conversion runs client-side in JavaScript with no network calls, so your data never touches a server. You can use it on sensitive data without concern.

Can I reorder or drop columns?

You can drop columns by unticking them in the column selector, and the table renders only the checked ones. Columns appear in the order they first occur across your objects; reorder the source keys if you need a different order.

JSON Array → Markdown Table Converter

Turn JSON records into a clean markdown table

Pasting structured data into a README, GitHub issue, or chat message means hand-building a markdown table, which is tedious and error-prone. This converter takes a JSON array of objects and produces a properly formatted table in one step, detecting columns automatically and escaping anything that would break the layout.

How it works

The tool parses your input as a JSON array and walks every object to build the union of all keys — that becomes the column set, so records with different shapes still produce a rectangular table. Each cell value is stringified (numbers and booleans directly, nested objects as compact JSON), and pipes are escaped while newlines are collapsed to spaces so the markdown stays valid. You can choose left, center, or right alignment, which sets the separator row, and untick any columns you want to omit.

Tips and notes

For the cleanest output, flatten nested objects before pasting — deeply nested values still render but as inline JSON, which is harder to read. Everything runs locally in your browser with no network calls, so it is safe for sensitive data. Use the column selector to trim wide datasets down to just the fields you want to show, and switch alignment to right for numeric columns so figures line up neatly.