Free Markdown Table Generator
Create markdown tables visually with a spreadsheet-like editor. Add rows, columns, alignment options, CSV import, and instant preview. 100% client-side — your data stays private.
How to Use the Markdown Table Generator
- Edit headers by typing in the header input fields.
- Set column alignment (left, center, right) from the dropdowns.
- Add rows and columns using the toolbar buttons.
- Fill in data by clicking on any cell and typing.
- See the rendered preview update in real time.
- Import CSV data directly into the table.
- Copy the generated markdown or HTML to paste into your documents.
Why Use This Markdown Table Generator
Writing markdown tables by hand is tedious and error-prone, especially with alignment markers. This visual editor lets you build tables like a spreadsheet and exports clean, properly formatted markdown.
The real-time preview shows you exactly how your table will render on GitHub, GitLab, documentation sites, and other markdown-supported platforms. Import existing CSV data to convert it to markdown instantly.
Frequently Asked Questions
The tool generates standard GitHub-Flavored Markdown (GFM) table syntax with pipe separators, header dividers (---, :---, :---:), and proper alignment markers.
Yes. Click "Import CSV" to upload a CSV file, or paste CSV data. The tool will populate the table with your data, preserving rows and columns.
Click "Copy HTML" to get a complete, semantic HTML table with proper <table>, <thead>, <tbody>, <th>, and <td> elements, ready to paste into any HTML document.
Use Cases
GitHub README Tables
Create properly formatted tables for GitHub README files with correct Markdown syntax.
Spreadsheet to Markdown
Convert spreadsheet data into Markdown tables for documentation and wikis.
Building Documentation Tables
Create structured tables for technical documentation with proper alignment and formatting.
Generating Comparison Tables
Build comparison tables to present data side-by-side in a clear, organized format.
Formatting Data for Wikis
Format structured data into Markdown tables for wiki pages and knowledge bases.