JSON to Markdown Table Converter – Free & Instant

Paste a JSON array and get a formatted Markdown table instantly. Free, runs in your browser, nothing uploaded. Perfect for READMEs, wikis, and docs.

JSON
111 chars · 4 lines · 111 bytes
Markdown

Turn JSON data into a clean Markdown table in seconds

Paste a JSON array and this tool converts it into a formatted Markdown table — column headers, pipes, and all — ready to drop straight into a README, wiki, pull-request description, or any Markdown-powered doc. No sign-up, no install, and nothing leaves your browser.

Quick snippet: Here is the same data before and after conversion — so you know exactly what to expect. Input (JSON):
[
  { "name": "Alice", "role": "Engineer", "years": 4 },
  { "name": "Bob",   "role": "Designer", "years": 2 }
]
Output (Markdown table):
| name  | role     | years |
|-------|----------|-------|
| Alice | Engineer | 4     |
| Bob   | Designer | 2     |
Paste your JSON above, copy or download the result. The converter detects numbers automatically (no quote-wrapping on numeric values) and handles quoted strings cleanly. Everything runs in your browser — nothing is uploaded.

How to use the JSON to Markdown table converter

  1. Paste your JSON into the input box. It must be an array of objects, like the example above.
  2. Click Convert (or the tool auto-converts as you type).
  3. Copy the Markdown table from the output panel, or hit Download to save it as a .md file.
  4. Paste it anywhere that renders Markdown — GitHub, GitLab, Notion, Confluence, Obsidian, or a docs site.

Worked example — a real-world scenario

Say you have an API response listing software package versions. The raw JSON looks like this:

[
  { "package": "react",  "version": "18.2.0", "license": "MIT" },
  { "package": "axios",  "version": "1.6.8",  "license": "MIT" },
  { "package": "lodash", "version": "4.17.21","license": "MIT" }
]

After conversion, you get a Markdown table you can paste directly into your project's README.md:

| package | version  | license |
|---------|----------|---------|
| react   | 18.2.0   | MIT     |
| axios   | 1.6.8    | MIT     |
| lodash  | 4.17.21  | MIT     |

On GitHub or any Markdown renderer, that renders as a properly styled table — no raw pipes visible to readers.

How to convert JSON to a Markdown table in code

If you need this in a script or CI pipeline rather than a one-off in the browser, here are working snippets for the two most common languages.

Python

import json

def json_to_md_table(data: list[dict]) -> str:
    headers = list(data[0].keys())
    sep = ['---'] * len(headers)
    rows = [[str(row.get(h, '')) for h in headers] for row in data]

    def fmt(cells):
        return '| ' + ' | '.join(cells) + ' |'

    lines = [fmt(headers), fmt(sep)] + [fmt(r) for r in rows]
    return '\n'.join(lines)

with open('data.json') as f:
    data = json.load(f)

print(json_to_md_table(data))

JavaScript (Node.js)

function jsonToMarkdownTable(data) {
  const headers = Object.keys(data[0]);
  const sep = headers.map(() => '---');
  const row = (cells) => '| ' + cells.join(' | ') + ' |';

  return [
    row(headers),
    row(sep),
    ...data.map(r => row(headers.map(h => String(r[h] ?? ''))))
  ].join('\n');
}

const data = JSON.parse(require('fs').readFileSync('data.json', 'utf8'));
console.log(jsonToMarkdownTable(data));

Both snippets assume a flat array of objects (no nested keys). For complex or deeply nested JSON, flatten it first — or use the tool above, which handles that automatically.

How it works

The converter reads the keys from the first JSON object to build the header row, then walks every remaining object to fill in values. Numeric fields are written without quotes; missing keys become empty cells. The pipe-and-dash syntax it produces follows the CommonMark spec and is compatible with GitHub Flavored Markdown (GFM), which adds the table extension described in the GFM spec.

Everything runs client-side in JavaScript inside your browser tab. Your JSON data is never sent to any server — it stays on your machine the whole time.

When to use this format — and when not to

SituationBest format
README, wiki, PR description on GitHub / GitLabMarkdown table ✓
Notion, Obsidian, Confluence (Markdown mode)Markdown table ✓
Spreadsheet analysis in Excel / Google SheetsCSV or XLSX
Feeding another API or appStay in JSON
HTML email or web pageHTML table
Database importSQL INSERT or CSV

Skip Markdown tables when your JSON has deeply nested objects or arrays inside values — those don't collapse into a flat cell well. Either flatten the data first, or export as CSV for spreadsheet tools.

Related tools you might need

Bottom line: if you have a JSON array and need a Markdown table for a README, doc, or wiki, paste it above and you'll have the result in under five seconds — no code required.

Frequently asked questions

What JSON structure does this converter expect?+
It expects a JSON array of flat objects — for example, [{"name":"Alice","age":30},{"name":"Bob","age":25}]. Each object becomes one row, and the keys from the first object become the column headers. Nested objects or arrays inside values will be serialized as strings in the cell — flatten them first if you want clean columns.
Is my JSON data uploaded anywhere or stored on a server?+
No. The entire conversion runs in your browser using JavaScript. Your data never leaves your device and is never sent to any server. You can even disconnect from the internet after the page loads and it will still work.
Is this tool free? Do I need an account?+
Completely free — no sign-up, no account, no hidden limits. Just paste your JSON and convert.
Will the output table render correctly on GitHub?+
Yes. The output uses the pipe-table syntax defined in the GitHub Flavored Markdown (GFM) spec, which GitHub, GitLab, Bitbucket, Notion, and most other Markdown platforms support out of the box.
What if some objects in my array are missing a key?+
The converter uses all keys found in the first object as column headers. If a later row is missing a key, that cell is left empty. If later rows have extra keys not present in the first object, those extra fields are not included — reorder your data or manually add the missing key to the first object to include it.
How do I convert JSON to a Markdown table in Python?+
You can write a short function yourself — see the Python snippet in the 'How to convert JSON to a Markdown table in code' section above. For production use, the tabulate library (pip install tabulate) supports Markdown output: tabulate(data, headers='keys', tablefmt='github').
Can it handle large JSON files with hundreds of rows?+
Yes — the converter handles thousands of rows comfortably because it runs locally in your browser with no network round-trips. For extremely large files (tens of thousands of rows), pasting into the editor may be slow; use the code snippets above for bulk or automated work instead.
What is the difference between a Markdown table and an HTML table?+
A Markdown table uses pipe characters and dashes (the |---| syntax) and is rendered by a Markdown processor into a visual table. An HTML table uses <table>, <tr>, and <td> tags and works directly in browsers and email clients. Use Markdown tables for READMEs and docs; use HTML tables when you need styling control or are embedding in a web page.