tableconvert

tableconvert

🚀 A powerful offline table format converter written in Go - Convert between MySQL, Markdown, CSV, JSON, Excel, SQL, LaTeX, and more.

tableconvert is a command-line tool designed for converting between different table formats. It's perfect for developers, data analysts, and anyone who needs to transform tabular data between different systems.

✨ Key Features

• 🔄 Multi-format Support: 13+ formats including MySQL, Markdown, CSV, JSON, Excel, HTML, XML, SQL, LaTeX, MediaWiki, TWiki, and custom templates
• 🔒 Offline & Secure: All processing happens locally - your data never leaves your machine
• ⚡ Batch Processing: Convert multiple files at once with glob patterns
• 🔧 Data Transformations: Built-in support for transpose, deduplication, case conversion, and more
• 🎨 Format-Specific Styling: Fine-grained control over output formatting for each format
• 🤖 MCP Server: Built-in Model Context Protocol server for AI assistants
• 🌍 Cross-Platform: Works on Windows, Linux, and macOS

🚀 Quick Start

Installation

# Option 1: Download pre-built binaries (recommended)
# Visit: https://github.com/martianzhang/tableconvert/releases
# Or use wget (Linux/macOS):
wget https://github.com/martianzhang/tableconvert/releases/latest/download/tableconvert-linux-amd64
chmod +x tableconvert-linux-amd64
sudo mv tableconvert-linux-amd64 /usr/local/bin/tableconvert

# Option 2: Build from source (requires Go 1.23+)
git clone https://github.com/martianzhang/tableconvert.git
cd tableconvert
make build

# Binary will be available at:
# - Linux/macOS: ./bin/tableconvert
# - Windows: bin\tableconvert.exe

# Option 3: Go install
go install github.com/martianzhang/tableconvert@latest

Basic Usage

# Auto-detect formats from file extensions
tableconvert input.csv output.json

# Explicit format specification
tableconvert --from=csv --to=markdown input.csv output.md

# Short flags
tableconvert -i input.csv -o output.json

# Read from stdin, write to stdout
echo "name,age\nAlice,30\nBob,25" | tableconvert --from=csv --to=json

Common Scenarios

# Convert MySQL query results to Markdown (use -t for table format)
mysql -t -e "SELECT * FROM users" | tableconvert --from=mysql --to=markdown > users_data.md

# Convert MySQL table schema to Markdown
mysql -t -e "DESCRIBE users" | tableconvert --from=mysql --to=markdown > users_schema.md

# Convert CSV to Excel with styling
tableconvert data.csv report.xlsx --auto-width --bold-header

# Batch convert all CSV files to JSON
tableconvert --batch="data/*.csv" --to=json --output-dir=json_output

# Transform data: transpose and capitalize
tableconvert input.csv output.md --transpose --capitalize

# Generate SQL INSERT statements from CSV
tableconvert data.csv data.sql --table=users --dialect=mysql

# Create LaTeX table for academic paper
tableconvert data.csv table.tex --bold-header --text-align=c

Format-Specific Examples

# Markdown with custom alignment and bold headers
tableconvert data.csv output.md --align=l,c,r --bold-header

# JSON with specific format (object, 2d array, column-oriented)
tableconvert data.csv output.json --format=object --minify

# HTML table with div wrapper and minification
tableconvert data.csv output.html --div --minify --thead

# SQL with multiple rows in one INSERT
tableconvert data.csv output.sql --one-insert --table=products

# Custom template output
tableconvert data.csv output.php --template=php_array.tmpl

📖 Command Reference

Basic Options:

• --from|-f={FORMAT} - Source format (required if not auto-detected)
• --to|-t={FORMAT} - Target format (required if not auto-detected)
• --file|--input|-i={PATH} - Input file path (or stdin if omitted)
• --result|--output|-o={PATH} - Output file path (or stdout if omitted)

Quick Options:

• -v, --verbose - Show detailed processing information
• -h, --help - Show help message
• --help-formats - List all supported formats
• --help-format={FORMAT} - Show format-specific parameters
• --mcp - Run as MCP server for AI assistants

Batch Processing:

• --batch|-b={PATTERN} - Process multiple files (e.g., *.csv, data/*.json)
• --recursive|-r - Enable recursive directory search
• --output-dir|--dir={PATH} - Output directory (default: same as input)

Data Transformations:

• --transpose - Swap rows and columns
• --delete-empty - Remove empty rows
• --deduplicate - Remove duplicate rows
• --uppercase - Convert to UPPERCASE
• --lowercase - Convert to lowercase
• --capitalize - Capitalize first letter of each cell

Auto-Detection: When --from or --to are omitted, formats are detected from file extensions:

• .csv → csv, .json → json, .jsonl → jsonl
• .md, .markdown → markdown, .xlsx, .xls → excel
• .html, .htm → html, .xml → xml, .sql → sql
• .tex, .latex → latex, .wiki → mediawiki
• .tmpl, .template → tmpl

Format-Specific Parameters: Each format supports custom styling options. See arguments.md for complete reference or use --help-format={format}.

🤖 MCP (Model Context Protocol) Integration

tableconvert includes a built-in MCP server for seamless integration with AI assistants like Claude Code.

Setup with Claude Code

# Add to Claude Code (Unix/Linux/macOS)
claude mcp add tableconvert -- /path/to/tableconvert --mcp

# Windows
claude mcp add tableconvert -- "C:\\path\\to\\tableconvert.exe" --mcp

MCP Tools Available

• convert_table: Convert table data between formats with full parameter support
• get_formats: Discover supported formats and their parameters

Example MCP Usage

Once configured, you can ask your AI assistant:

• "Convert this CSV data to a Markdown table with bold headers"
• "Transform my MySQL query results to JSON format"
• "Create a LaTeX table from this data with centered alignment"

📊 Supported Formats

Format	Extensions	Read	Write	Description
MySQL	mysql	✅	✅	MySQL query output (box format)
CSV	.csv	✅	✅	Comma-separated values
JSON	.json	✅	✅	JavaScript Object Notation
JSONL	.jsonl, .jsonlines	✅	✅	JSON Lines format
Markdown	.md, .markdown	✅	✅	GitHub/Markdown tables
Excel	.xlsx, .xls	✅	✅	Microsoft Excel files
HTML	.html, .htm	✅	✅	HTML tables
XML	.xml	✅	✅	XML data format
SQL	.sql	✅	✅	SQL INSERT statements
LaTeX	.tex, .latex	✅	✅	LaTeX table format
MediaWiki	.wiki	✅	✅	MediaWiki tables
TWiki	.twiki	✅	✅	TWiki/TracWiki format
ASCII	-	❌	✅	ASCII art tables
Template	.tmpl, .template	❌	✅	Custom templates

📚 Real-World Examples

Database Schema Documentation

# Export table schema to Markdown
mysql -t -e "DESCRIBE users" | tableconvert --from=mysql --to=markdown > schema.md

# Generate HTML documentation
mysql -t -e "SELECT * FROM users" | tableconvert --from=mysql --to=html > table.html

Note about MySQL format: tableconvert only supports MySQL query output in box format (like mysql -t output). It does NOT support:

• mysqldump output (SQL INSERT/CREATE statements)
• Raw SQL queries without -t flag
• Multi-statement SQL scripts

For mysqldump or raw SQL, you'll need additional tools to convert to box format first, or use the sql format for INSERT statements.

Data Pipeline

# Convert CSV to JSON for API
tableconvert data.csv data.json --format=object

# Transform for analytics
tableconvert sales.csv report.md --transpose --bold-header --align=l,c,r

Reporting

# Batch process daily reports
tableconvert --batch="reports/*.csv" --to=excel --output-dir=excel_reports --bold-header

# Generate LaTeX for papers
tableconvert results.csv table.tex --caption="Experiment Results" --table-align=centering

📦 Releases

Pre-built binaries are available for Linux, macOS, and Windows on the GitHub Releases page.

Release Assets

Each release includes:

• Binaries for all platforms (x64 and ARM64)
• SHA256 checksums for verification
• Release notes with changes and build info

Verification

Always verify downloaded binaries:

# Download binary and checksums.txt
sha256sum -c checksums.txt

# Should output: tableconvert-linux-amd64: OK

Building Releases Locally

# Build all platform binaries
make release

# Create zip archives (requires zip)
make release-zip

# Generate release notes
make release-notes

See docs/release-guide.md for complete release documentation.

🔧 Development

Building from Source

# Clone repository
git clone https://github.com/martianzhang/tableconvert.git
cd tableconvert

# Build
make build

# Run tests
make test

# Run specific tests
go test ./markdown/
go test ./mysql/

Adding New Formats

1. Create package: mkdir newformat && touch newformat/newformat.go
2. Implement Unmarshal(*common.Config, *common.Table) error
3. Implement Marshal(*common.Config, *common.Table) error
4. Register in cmd/tableconvert/main.go
5. Add tests in newformat/newformat_test.go

See CLAUDE.md for detailed architecture documentation.

📖 Documentation

User Documentation

• Quick Reference - Fast lookup for common commands
• Complete Parameter Reference - All format-specific options
• Practical Examples - Real-world usage scenarios
• Troubleshooting Guide - Solve common issues

Format Guides

• LaTeX Guide - LaTeX table syntax explained
• Wiki Formats - TWiki, MediaWiki, Confluence syntax

Developer Documentation

• Architecture Guide - Code structure and development
• Contributing - How to contribute

Quick Help

# Show all available commands
tableconvert --help

# Show all supported formats
tableconvert --help-formats

# Show format-specific parameters
tableconvert --help-format=markdown

🆘 Troubleshooting

Common Issues

"Format not detected"

• Ensure file extensions are correct
• Use --from and --to to specify formats explicitly
• Run --help-formats to see all supported formats

"Invalid table format"

• Check if input follows expected format
• Use --verbose to see detailed parsing information
• For MySQL format, ensure box borders are complete

"Batch mode not working"

• Verify glob patterns are quoted properly
• Use --recursive for subdirectories
• Check file permissions

Getting Help

# Show all available commands
tableconvert --help

# Show format-specific parameters
tableconvert --help-format=markdown

# List all supported formats
tableconvert --help-formats

# Verbose mode for debugging
tableconvert input.csv output.json --verbose

🤝 Contributing

Contributions are welcome! Please ensure:

• All tests pass: make test
• Code follows existing patterns
• Add tests for new features
• Update documentation

📄 License

Apache License 2.0

🔗 References

• Online tableconvert
• ascii-tables
• tablewriter
• csvq

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Note

• This tool is not production ready.
• When you will overwrite exists file, please check first.
• All data processing happens locally on your machine.