CSV to Markdown Table
Paste CSV, TSV, or semicolon-separated data — get a clean GitHub-flavored Markdown table. Runs in your browser.
Free. No signup. Browser-only.
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Why this matters
READMEs and docs
GitHub-flavored Markdown tables render natively in READMEs, GitLab, Notion, and most modern doc systems. Paste-ready output.
LLM context windows
Markdown tables are dramatically cheaper in tokens than CSV or pretty JSON. Paste a sliced spreadsheet into ChatGPT or Claude for analysis.
Browser-only, private
No upload, no server. Safe for pasting internal spreadsheets, financial data, or anything else you'd rather not send to a third party.
How it works
Paste CSV — or pick a delimiter for TSV or semicolon-separated data
We parse it correctly (RFC 4180 quoting, embedded commas, escaped quotes) into a Markdown table
Copy the table — drop it into a README, Notion page, or LLM prompt
Frequently Asked Questions
Does this handle quoted fields and commas inside values?
Yes. The parser implements RFC 4180 quoting — fields wrapped in double quotes can contain commas, newlines, and escaped quotes (""). Unquoted fields are split on the chosen delimiter.
Can I use tab-separated (TSV) data?
Yes. There's a delimiter selector — choose between comma, semicolon, or tab. Tab handles TSV files and data pasted from Excel or Google Sheets.
Does it stay in my browser?
Yes. Conversion happens entirely client-side — no upload, no server, no logs. Safe for sensitive spreadsheet data.
What's the output format?
Standard GitHub-flavored Markdown tables — `| col1 | col2 |` with a `| --- | --- |` separator row. Renders correctly in GitHub READMEs, Notion, GitLab, Obsidian, and any modern Markdown processor.
How are pipes and newlines in cells handled?
Pipes are escaped (`\|`) so they don't break the table syntax. Newlines inside a cell are converted to spaces — Markdown tables don't support multi-line cells.
Is there a row limit?
No hard limit, but tables with thousands of rows can be slow to render in some Markdown viewers. For very large CSVs, consider keeping them as CSV and only converting summary slices.
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