SQL to Markdown Converter
Transform SQL database dumps into GitHub Flavored Markdown (GFM) tables with automatic alignment detection and flexible formatting options
SQL Input
Convert SQL to other formats
Markdown Output
Related Tools
SQL to MATLAB
Convert SQL CREATE TABLE and INSERT statements to MATLAB matrix, cell array, struct, or table format
SQL to MediaWiki
Convert SQL CREATE TABLE and INSERT statements to MediaWiki table markup for Wikipedia and wikis
SQL to Pandas DataFrame
Convert SQL CREATE TABLE and INSERT statements to Python Pandas DataFrame code for data analysis
SQL to PDF
Convert SQL CREATE TABLE and INSERT statements to PDF document with professional table formatting
SQL to PHP
Convert SQL CREATE TABLE and INSERT statements to PHP arrays, objects, and JSON for web development
SQL to PNG
Convert SQL CREATE TABLE and INSERT statements to PNG image with professional styling
About SQL to Markdown Converter
Convert SQL database dumps (CREATE TABLE and INSERT statements) to GitHub Flavored Markdown (GFM) tables. Perfect for documentation, README files, GitHub wikis, and any Markdown-based content that needs to display tabular data.
Key Features
- GitHub Flavored Markdown: Full GFM table syntax support
- Auto-Alignment: Automatically detects numeric columns for right alignment
- Multiple Styles: GitHub style (with edge pipes) or simple style
- Column Alignment: Left, center, right, or auto-detect alignment
- Special Character Escaping: Handles pipes and special characters
- Smart Parsing: Extracts column names and data from SQL dumps
- File Download: Save as .md file
How to Use
- Input SQL Data: Paste your SQL CREATE TABLE and INSERT statements or upload a .sql file
- Choose Style: Select GitHub or simple table style
- Set Alignment: Choose auto-detect or manual alignment
- Configure Header: Toggle header row inclusion
- Copy or Download: Use the Copy or Download button to save your Markdown
Table Styles
GitHub Style (with edge pipes):
- Standard GitHub Flavored Markdown format
- Pipes at the beginning and end of each row
- Most widely supported format
- Works on GitHub, GitLab, Bitbucket, etc.
Simple Style (no edge pipes):
- Cleaner, more minimal syntax
- No pipes at row edges
- Supported by many Markdown parsers
- More readable in plain text
Example Conversion
SQL Input:
CREATE TABLE products ( id INT, name VARCHAR(100), price DECIMAL(10,2), category VARCHAR(50) ); INSERT INTO products VALUES (1, 'Laptop', 999.99, 'Electronics'); INSERT INTO products VALUES (2, 'Mouse', 24.99, 'Accessories'); INSERT INTO products VALUES (3, 'Keyboard', 79.99, 'Accessories');
Markdown Output (GitHub style, auto-align):
| id | name | price | category | | :-- | :-- | --: | :-- | | 1 | Laptop | 999.99 | Electronics | | 2 | Mouse | 24.99 | Accessories | | 3 | Keyboard | 79.99 | Accessories |
Rendered Table:
| id | name | price | category |
|---|---|---|---|
| 1 | Laptop | 999.99 | Electronics |
| 2 | Mouse | 24.99 | Accessories |
| 3 | Keyboard | 79.99 | Accessories |
Alignment Options
- Auto-detect: Numbers are right-aligned, text is left-aligned
- Left (:--) All columns left-aligned
- Center (:-:) All columns center-aligned
- Right (--:) All columns right-aligned
Common Use Cases
- GitHub README: Display database schemas and sample data
- Documentation: Include data tables in technical documentation
- Wiki Pages: Create tables for GitHub, GitLab, or Bitbucket wikis
- Blog Posts: Add data tables to Markdown-based blogs (Jekyll, Hugo, etc.)
- Issue Tracking: Include tables in GitHub/GitLab issues
- Pull Requests: Document changes with data tables
Platform Compatibility
The generated Markdown tables work on:
- GitHub: README, wikis, issues, pull requests, discussions
- GitLab: README, wikis, merge requests, issues
- Bitbucket: README, wikis, pull requests
- Static Site Generators: Jekyll, Hugo, Gatsby, Next.js
- Documentation Tools: MkDocs, Docusaurus, VuePress
- Note-Taking Apps: Obsidian, Notion, Typora
Auto-Alignment Detection
When auto-alignment is enabled, the converter:
- Analyzes each column's data
- Right-aligns columns with only numeric values
- Left-aligns columns with text or mixed content
- Provides optimal readability for different data types
Special Character Handling
The converter automatically escapes:
- Pipe character (|): Escaped as \| to prevent breaking table structure
- Newlines: Converted to spaces for single-line cells
- Carriage returns: Removed for clean output
Privacy & Security
All conversions happen locally in your browser. Your SQL data is never uploaded to any server, ensuring complete privacy and security.
Frequently Asked Questions (FAQ)
Why does my table not render correctly in some Markdown viewers?
While GitHub Flavored Markdown tables are widely supported, some older or minimal Markdown parsers do not support table syntax. In those environments, the generated table may appear as plain text instead of a rendered grid.
What is the difference between GitHub and Simple styles?
The GitHub style includes leading and trailing pipes on each row and matches GitHub's table syntax exactly. The Simple style omits edge pipes, which some humans find easier to read in raw form, but both styles represent the same table structure.
How does auto-alignment work?
When auto-alignment is enabled, the tool inspects each column's values. Columns that contain only numeric-like values are right-aligned, while others are left-aligned for better readability.
Can I add Markdown formatting inside cells?
Yes. You can include basic Markdown formatting (such as **bold** or _italic_) in your SQL values. The converter escapes only structural characters like the pipe symbol so that the table layout stays intact.
What happens to very long text values?
Long text values are kept as single-line cells with newlines removed. In rendered Markdown, they will wrap visually based on your viewer's width, but remain a single cell in the table.
Can I use the output in static site generators?
Yes. The generated Markdown tables work well with popular static site generators such as Jekyll, Hugo, Gatsby, and many others that support GitHub Flavored Markdown.
