How to use the CSV → HTML Table
1. Paste your CSV data into the input field (first row must be column headers).
2. Choose a theme and configure formatting options — alignment, borders, responsive scroll, hover highlight, and more.
3. Switch between the Preview tab to see the live-rendered table or the HTML Code tab to copy the markup.
4. Click Download to save a self-contained .html file ready to embed anywhere.
What is it?
CSV (Comma-Separated Values) is the most universal data exchange format — exported by Excel, Google Sheets, databases, and almost every data tool. But raw CSV is difficult to read and impossible to style in a browser without conversion.
This tool parses your CSV using an RFC 4180-compliant parser that correctly handles quoted fields, commas inside values, and escaped double-quotes. It then generates a fully self-contained HTML file with inline CSS, so the styled table works in any browser or email client without external dependencies.
The generated output supports 7 visual themes, configurable header and data alignment, optional responsive overflow scroll for mobile, hover row highlighting, compact padding mode, cell borders, and rounded corners — all applied instantly as you adjust settings.
Example
Name,Department,Salary Alice Chen,Engineering,120000 Bob Smith,Marketing,85000 Carol White,Design,95000
<!DOCTYPE html>
<html lang="en">
<head>
<style>
th { background:#f3f4f6; padding:10px 14px; border:1px solid #e5e7eb; }
td { padding:9px 14px; border:1px solid #e5e7eb; }
tr:hover td { background:#f9fafb; }
</style>
</head>
<body>
<table>
<thead><tr><th>Name</th><th>Department</th><th>Salary</th></tr></thead>
<tbody>
<tr><td>Alice Chen</td><td>Engineering</td><td>120000</td></tr>
...
</tbody>
</table>
</body>
</html>The first CSV row becomes the <th> header row. Each subsequent row becomes a <tr> of <td> cells.
Benefits
Share structured data with anyone, in any format
CSV output opens directly in Excel and Google Sheets; XML works with legacy enterprise systems; JSON feeds every modern API — convert to whatever format your audience needs.
Bridge incompatible data formats without a custom script
Convert between JSON, CSV, XML, and YAML in one click — the most common inter-system data translation handled instantly, without writing a parser or ETL pipeline.
Inspect, compare, and debug complex JSON structures
Sort, extract, compare, and measure JSON to find unexpected keys, spot structural differences between API versions, and diagnose oversized payloads.
Migrate legacy data to modern formats
Convert XML configs, PHP print_r() dumps, or CSV exports to clean JSON — without writing a one-off migration script that will never be used again.
Frequently asked questions
My CSV has commas inside values — will it break?
No. The parser is RFC 4180 compliant. Fields that contain commas, newlines, or double-quotes should be wrapped in double-quotes in the CSV (e.g. "New York, NY"). The parser handles these correctly.
Does the first row always become the header?
Yes. The first row of your CSV is treated as column headers and rendered as <th> elements. Make sure your CSV includes a header row.
Can I generate a table without a full HTML file?
Switch to the HTML Code tab and copy just the <table>…</table> block. You can paste it directly into any existing HTML page alongside your own CSS.
Is my data sent to a server?
No. All processing happens entirely in your browser using JavaScript. Your data never leaves your device.
Are there file size limits?
There is no hard limit, but very large datasets (thousands of rows) may slow the browser. For files over a few MB, consider splitting the data or using a command-line tool.
Can I use the generated HTML on my website?
Yes. The output is a complete, self-contained HTML file with inline CSS. You can embed the <table> portion directly in any webpage or paste the full file into a CMS.