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.
[
{ "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
- Paste your JSON into the input box. It must be an array of objects, like the example above.
- Click Convert (or the tool auto-converts as you type).
- Copy the Markdown table from the output panel, or hit Download to save it as a
.mdfile. - 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
| Situation | Best format |
|---|---|
| README, wiki, PR description on GitHub / GitLab | Markdown table ✓ |
| Notion, Obsidian, Confluence (Markdown mode) | Markdown table ✓ |
| Spreadsheet analysis in Excel / Google Sheets | CSV or XLSX |
| Feeding another API or app | Stay in JSON |
| HTML email or web page | HTML table |
| Database import | SQL 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
- Before converting, clean up messy JSON with the JSON Beautifier — Format, Validate & Minify JSON Online.
- Check for syntax errors first using the JSON Validator — Check & Fix JSON Errors Online.
- Need a readable view of complex JSON? Try the JSON Viewer — View, Format & Validate JSON Online.
- Switching stacks? The JSON to YAML Converter handles that in one click.
- Trim file size before storing: JSON Minifier — Compress & Minify JSON Online.
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.