Convert CSV data to JSON format with first-row header detection and nested object support.
Works in your browser. What you paste or upload is processed on your device.
Enter or paste the CSV data you want to convert.
Choose comma, semicolon, or tab as the field separator.
Click 'Convert to JSON' to transform the data.
Check that the JSON structure correctly represents your CSV data.
Copy the JSON or download as a .json file for use in your application.
The CSV to JSON Converter transforms comma-separated value (CSV) data into JSON format — converting the first row as object keys and subsequent rows as array elements. The output is a JSON array of objects, ready for use in APIs, JavaScript applications, and data processing workflows.
CSV is the standard export format from spreadsheets and databases. JSON is the standard format for modern APIs and web applications. This converter bridges them — turning spreadsheet exports into API-ready JSON without writing transformation code.
When importing data from spreadsheets into web applications, APIs, or databases, CSV data must be converted to JSON. This tool performs that transformation instantly, handling all edge cases like quoted values, commas within values, and varying column counts.
Something else? Ask the team
Yes. The first row of your CSV is used as the keys in the JSON objects. If your CSV has no headers, the converter will use the first data row as keys — add headers manually if needed.
CSV values containing commas should be wrapped in quotes in proper CSV format. The converter handles standard RFC 4180 CSV including quoted values with embedded commas.
Yes. European CSV exports often use semicolons instead of commas (since commas are used as decimal separators). Select 'Semicolon' as the delimiter for these files.
The converter attempts to infer types — numbers are output as JSON numbers, 'true'/'false' as JSON booleans, and other values as strings. Review the output to verify type inference is correct.
The tool handles CSV data up to approximately 5MB. For very large CSV files (1M+ rows), command-line tools like csvkit or Python's pandas library are better suited.
Each one opens on its own page and works straight away, with no sign-up.
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