CSV to JSON Converter – Turn Spreadsheets into JSON APIs
Automatically detect headers, delimiters, and data types to convert CSV files into arrays, column-mapped JSON, or nested records.
CSV to JSON Converter
Convert CSV data to JSON format
lightbulbPopular Use Cases
Convert Excel CSV exports to JSON for web apps
Import CSV data into JSON-based databases
Convert analytics reports to JSON for visualization
Convert contact CSVs to JSON for CRM systems
JSON output will appear here
scienceExample CSV Data
name,age,city John,30,New York Jane,25,Boston Bob,35,Chicago...
product,price,description "Widget A",29.99,"High quality widget" "Widget B",39.9...
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› About this tool · FAQ
Stop manually reformatting CSV spreadsheets into JSON! Convert CSV to JSON instantly with automatic data type detection, custom delimiters, and flexible output formats. Perfect for API integration and data migration. Free, works offline, handles large files.
How do I convert CSV to JSON?
Paste your CSV data into the converter, configure delimiter and header options, choose output format (array of objects, 2D array, or column arrays), then click Convert. The tool automatically detects data types and generates valid JSON instantly.
Is this CSV to JSON converter free?
Yes, completely free with no limits on file size or conversions. No signup required, no watermarks. All processing happens in your browser for complete privacy and unlimited usage.
Are my CSV files uploaded to servers?
No, all CSV to JSON conversion happens locally in your browser. Your data never leaves your computer, ensuring complete privacy for sensitive spreadsheets and business data.
How does the tool handle different CSV delimiters?
Supports comma, semicolon, tab, pipe, and custom delimiters. The tool can also auto-detect the most likely delimiter from your data for seamless conversion.
Can it automatically detect and convert data types?
Yes, the tool can parse numbers, booleans, dates, and null values automatically. You can control which types to parse in the options for precise JSON output formatting.
What output formats are available?
Three formats: Records (array of objects - most common), Array (2D array for tabular data), and Object (columns as arrays for analytics). Choose based on your use case.
How does it handle CSV files without headers?
When headers are disabled, the tool generates column names (column_1, column_2, etc.) or you can provide custom header names for proper JSON object keys.
Can it handle large CSV files?
The tool processes files client-side and can handle reasonably large files. For very large datasets (>10MB), consider using the row limit option to process in chunks.