CSV to JSON Converter
Convert CSV data to JSON format for APIs and applications. Transform spreadsheet exports into structured data instantly.
CSV Input
JSON Output
How to Use CSV to JSON Converter
How to Convert CSV to JSON
- Input CSV: Paste CSV data or upload a CSV file
- Configure options:
- Select delimiter (comma, semicolon, tab)
- Toggle header row presence
- Choose output format (array of objects, nested)
- Convert: Click to transform to JSON
- Review: Check the formatted JSON output
- Download: Save as .json file or copy to clipboard
Example Conversion
CSV Input:
name,email,age John,[email protected],30 Jane,[email protected],25
JSON Output:
[
{"name":"John","email":"[email protected]","age":"30"},
{"name":"Jane","email":"[email protected]","age":"25"}
]Features
- Paste or upload CSV files
- Multiple delimiter support (comma, semicolon, tab, pipe)
- Auto-detect headers
- Array of objects output
- Array of arrays output
- Nested object support (dot notation)
- Type inference (numbers, booleans)
- Handle quoted fields with commas
- Large file support
- Formatted or minified output
- Download as JSON file
- No registration required
About CSV to JSON Converter
Spreadsheet data needs to become JSON for modern applications. Whether you're preparing data for an API, migrating from legacy systems, or building configuration from CSV exports, our converter transforms tabular data into proper JSON structures.
How Conversion Works
The converter processes CSV with these considerations:
- Header row: First row becomes object property names
- Data rows: Each subsequent row becomes a JSON object
- Type inference: Numbers and booleans parsed from string values
- Quote handling: Properly handles quoted fields with commas
Data Cleaning During Conversion
CSV files from spreadsheets often contain issues: trailing whitespace, inconsistent capitalization, empty rows. The converter can trim whitespace, normalize line endings, and skip empty records to produce clean JSON output.
Common Conversion Scenarios
API seeding: Convert product catalogs or user lists for database imports. Configuration: Transform settings spreadsheets into JSON config files. Testing: Generate test data fixtures from spreadsheet-maintained test cases.
Handling Special Cases
When headers contain spaces or special characters, they become valid JSON keys (spaces might become underscores). Numeric strings like zip codes can be preserved as strings if needed to prevent data loss (90210 vs 90210).