Convert CSV Files to Markdown Tables — Instant & Private

CSV files are everywhere — data exports, database dumps, API responses. But sharing raw CSV data in documentation or AI prompts is messy. DragKit converts CSV to clean, formatted Markdown tables in your browser. No upload, no server, no data exposure.

📋 Clean Table Output

DragKit automatically detects headers, formats columns with proper alignment, and produces readable Markdown tables ready for documentation, README files, or Jira tickets.

🔒 Local Processing Only

Your CSV data — whether it contains customer information, analytics, or financial records — never leaves your browser. Zero server communication means zero data risk.

⚡ Handles Large Files

DragKit processes CSV files with thousands of rows in seconds. The output is optimized for readability with properly spaced columns and clear header separation.

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CSV to Markdown FAQ

What delimiter formats are supported?

DragKit supports standard comma-separated values (CSV). Files using semicolons, tabs, or other delimiters may need to be converted to standard CSV format first.

Does it auto-detect headers?

Yes. DragKit treats the first row of your CSV as the table header, which becomes the bolded header row in the Markdown table output.

Can I convert multiple CSV files at once?

Yes! Drop multiple CSV files simultaneously. Each file becomes a separate Markdown table in the output.

Is the output compatible with GitHub?

Absolutely. The Markdown tables follow GitHub-Flavored Markdown (GFM) standards and render perfectly on GitHub README files, wikis, and issue comments.

Why Markdown tables instead of embedding CSV?

Markdown tables are human-readable, properly formatted, and render visually in most documentation platforms. Raw CSV is harder to read and doesn't render as a table on GitHub, Notion, or Confluence.