CSV to JSON Converter

Convert CSV data to JSON arrays or objects with automatic type detection and header mapping.

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1. Paste your CSV data into the input area or upload a CSV file from your device. 2. The tool auto-detects the delimiter and whether the first row contains headers. 3. Toggle automatic type detection on or off depending on whether you want numbers and booleans parsed or kept as strings. 4. Choose your output format - array of objects, array of arrays, or keyed object. 5. Review the generated JSON output and click the copy button to use it in your project.

About This Tool

The CSV to JSON Converter takes your comma-separated data and transforms it into clean, structured JSON ready for use in APIs, applications, and databases. Paste your CSV content or upload a file, and the tool automatically detects headers, data types, and delimiters.

Automatic type detection converts numeric strings to numbers, recognizes boolean values, and handles null or empty fields appropriately. You can choose between generating an array of objects (most common) or an array of arrays, and control whether the first row is treated as headers.

This tool is invaluable when migrating data from spreadsheets into modern applications, preparing mock data for development, or converting legacy data exports into formats consumable by JavaScript applications and REST APIs.

Frequently Asked Questions

Yes. The converter identifies numbers, booleans (true/false), and null values automatically, converting them from strings to their proper JSON types. You can disable this feature if you need all values as strings.
The tool auto-detects common delimiters including commas, semicolons, tabs, and pipes. You can also manually specify the delimiter if auto-detection does not match your format.
The parser follows RFC 4180 standards for CSV. Fields enclosed in double quotes can contain commas, newlines, and escaped quotes (doubled double-quotes) without breaking the parsing.
Yes. Toggle off the "First row is headers" option, and the tool will generate numeric keys (0, 1, 2, ...) or output an array of arrays instead of an array of objects.
You can generate an array of objects (each row becomes an object with header keys), an array of arrays (raw tabular data), or a keyed object using a specified column as the key.

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