CSV to HTML Converter
Convert CSV data into a semantic HTML table.
Written by Golam Rabbani, Founder & Lead Engineer
How to use this csv to html converter
- Paste your CSV data into the CSV input textarea.
- Set the delimiter — a single character such as comma, semicolon, or tab.
- Toggle "First row is header" to put the first row inside <thead>.
- Optionally set a CSS class to apply to the <table> tag.
- Click Generate HTML, then Copy HTML to paste the result anywhere.
About this csv to html converter
The CSV to HTML converter turns comma-separated (or any single-delimiter) data into a semantic HTML <table>. It is the fastest way to put a spreadsheet export into a static page, an email template, or any CMS that does not accept CSV directly. The parser handles RFC 4180-style quoted fields, doubled inner quotes ("" inside a quoted cell), and Windows or Unix line endings, so exports from Excel, Google Sheets, Numbers, and most CLI tools work without preprocessing.
You choose whether the first row is a header — if so, those cells are wrapped in <th> inside a <thead>, and the remaining rows go into <tbody>. Otherwise, every row is treated as body data. You can also pass a CSS class that lands on the <table> tag, which lets you hook into existing stylesheets. Every cell value is HTML-escaped so characters like < > & in the data cannot break the surrounding markup.
For example, pasting "Name,Email,Role\nAda,[email protected],Admin\nGrace,[email protected],Editor" with comma delimiter and "First row is header" enabled produces a <table class="table"> with a header row, two body rows, and properly escaped cells. The whole conversion runs in your browser.
FAQ
- Does this handle quoted fields with commas inside them?
- Yes. The parser handles RFC 4180-style double-quoted fields, including doubled inner quotes ("" to represent a literal "). So a CSV value of "Smith, Jane" stays as one cell rather than splitting on the inner comma.
- What delimiters are supported?
- Any single character. Comma (,) is the default, but semicolon (;) is common in European locales and tab characters (TSV) are common in data tooling. Set whichever your data uses.
- What line endings does it accept?
- Both Unix (\n) and Windows (\r\n) line endings work — the parser detects either. A trailing blank line is ignored so you do not get a stray empty row.
- Does this work with very large CSV files?
- Parsing runs in your browser and scales linearly with input size. Tens of thousands of rows work, but very large files (multiple MB) can slow the page; in that case, splitting the input is a good idea.
- Is the output safe to paste anywhere?
- Yes — cell content is HTML-escaped, so any < > & or quotes in your data render as literal text instead of being interpreted as HTML.
- Can I get a JSON array of objects instead?
- This tool emits HTML only. If you need a JSON representation, the JSON to Table tool goes the other direction; for CSV-to-JSON, several free tools exist or you can map the parsed rows yourself.