CSV to JSON
Convert CSV to a JSON array of objects. Auto-detects delimiter, handles quoted fields and embedded newlines.
ConvertCSVJSONFree to use
Delimiter (input)
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How to use
- Paste your CSV. First row is the header.
- Copy the JSON. Array of objects keyed by header.
Common use cases
- Importing spreadsheet data into a JSON API
- Preparing CSV for a NoSQL database
- Transforming tabular exports for frontend consumption
Frequently asked questions
- What CSV delimiters does this tool support?
- Auto-detect (recommended), comma, tab, semicolon, and pipe. The default Auto mode inspects the first few rows to infer the right delimiter, which handles most real-world CSV exports.
- How are quoted fields and embedded newlines handled?
- Following RFC 4180, fields wrapped in double quotes can contain commas, line breaks, and even other quotes (escaped as ""). The PapaParse library handles all of these correctly.
- How is the JSON output structured?
- A JSON array of objects, where each object key is the column header from the first CSV row, and each value is the cell content. Empty rows are skipped automatically.
- What if my CSV has no header row?
- The first row is always treated as the header. If your data has no header, prepend a comma-separated list of column names like col1,col2,col3 before pasting, then strip those keys later if you do not need them.
- Are numbers and booleans converted automatically?
- No. Every CSV cell becomes a JSON string by default. Cast values to the right type in the consuming code. This avoids surprising data-loss issues with large numbers, leading zeros, and locale-specific number formats.
- Does conversion happen in the browser?
- Yes. Parsing is local, so spreadsheet data never leaves your machine.
Related tools
How to use
- Paste your CSV. First row is the header.
- Copy the JSON. Array of objects keyed by header.
Common use cases
- Importing spreadsheet data into a JSON API
- Preparing CSV for a NoSQL database
- Transforming tabular exports for frontend consumption
Frequently asked questions
- What CSV delimiters does this tool support?
- Auto-detect (recommended), comma, tab, semicolon, and pipe. The default Auto mode inspects the first few rows to infer the right delimiter, which handles most real-world CSV exports.
- How are quoted fields and embedded newlines handled?
- Following RFC 4180, fields wrapped in double quotes can contain commas, line breaks, and even other quotes (escaped as ""). The PapaParse library handles all of these correctly.
- How is the JSON output structured?
- A JSON array of objects, where each object key is the column header from the first CSV row, and each value is the cell content. Empty rows are skipped automatically.
- What if my CSV has no header row?
- The first row is always treated as the header. If your data has no header, prepend a comma-separated list of column names like col1,col2,col3 before pasting, then strip those keys later if you do not need them.
- Are numbers and booleans converted automatically?
- No. Every CSV cell becomes a JSON string by default. Cast values to the right type in the consuming code. This avoids surprising data-loss issues with large numbers, leading zeros, and locale-specific number formats.
- Does conversion happen in the browser?
- Yes. Parsing is local, so spreadsheet data never leaves your machine.