CSV to JSON Converter
Convert CSV (Comma-Separated Values) data into JSON format with multiple output options including arrays, objects, and customizable formatting
Conversion Options
Recommended Settings
Pro Tips
- •Array of objects format is most common for web APIs and JavaScript applications
- •Array of arrays format is more compact and better for large datasets
- •Object format groups data by columns, useful for chart libraries and data analysis
- •Enable 'Parse numbers' to convert numeric strings to actual JSON numbers
Most Popular
Most users choose array of objects with pretty print enabled for readable, API-ready JSON
When to Use This Tool
Convert CSV data exports into JSON format for REST APIs, GraphQL endpoints, and web services. The array of objects format is perfect for API responses and frontend consumption.
Transform CSV datasets into JavaScript-friendly JSON for React, Vue, Angular, and Node.js applications. JSON integrates seamlessly with modern web frameworks and data visualization libraries.
Convert CSV database exports to JSON for importing into NoSQL databases like MongoDB, CouchDB, and Firebase. JSON is the native format for document-based databases.
Transform CSV configuration data into JSON config files for applications, build tools, and deployment scripts. JSON is widely supported for configuration across all platforms and languages.
How It Works
Parse CSV input, handling quoted values, commas within fields, and special characters
Extract headers from first row if enabled, or generate numeric indices
Convert each data row based on selected output format (objects, arrays, or columns)
Optionally parse numeric strings into JSON number types
Format output with pretty printing and indentation if enabled
Generate valid JSON string ready for use in applications
100% Private
Files never leave your device. All processing happens locally in your browser.
Lightning Fast
Powered by Pure JavaScript for optimal performance on modern browsers.
Secure
No data collection, no tracking, no sign-up required.
Frequently Asked Questions
What's the difference between the output formats?
Array of Objects creates [{name: 'John', age: 25}] - best for APIs. Array of Arrays creates [['John', 25]] - most compact. Object format creates {name: ['John', 'Jane'], age: [25, 30]} - best for columnar data analysis.
Should I enable 'Parse numbers'?
Enable it if you want numeric values as actual JSON numbers instead of strings. For example, age would be 25 instead of '25'. This is useful for calculations and charts, but be careful with IDs and zip codes that look like numbers but should stay as strings.
What if my CSV has commas inside values?
The tool properly handles quoted values. If a CSV cell contains commas and is wrapped in quotes (like 'New York, NY'), the parser treats it as a single value and won't split on the internal comma.
Can I use this for large CSV files?
The tool works in your browser, so very large files (thousands of rows) may cause slowdowns or memory issues. For huge datasets, consider splitting into smaller files or using server-side conversion tools.
Is the output valid JSON?
Yes! The tool uses JSON.stringify() to ensure the output is always valid, properly escaped JSON that can be parsed by any JSON parser in any programming language.
Why do I need headers for some formats?
Array of Objects and Object formats require headers to use as keys. For example, without headers, we can't create {name: 'John'} - we need the 'name' header. If your CSV has no headers, use Array of Arrays format instead.