What Is a CSV to JSON Converter?
CSV (comma-separated values) stores rows of fields, often with a header row. A CSV to JSON formatter turns those rows into an array of objects. This free online tool also converts JSON to CSV—handy when you need a JSON formatter to CSV without uploading files.
Delimiters, Quoted Fields, and Headers
Choose comma, semicolon, tab (TSV), or pipe delimiters. Quoted fields can contain the delimiter or newlines; doubled quotes escape a literal quote (RFC 4180 style). Enable the header row for array-of-objects output, or disable it for a JSON array of arrays.
Nested Objects, Excel, and Python
Nested JSON objects flatten with dot keys when exporting CSV. Excel exports usually work if you match the locale delimiter. For scripts, pandas.to_json() or Papa Parse are common; this page keeps conversions private in your browser.
CSV to JSON FAQs
- What is a CSV to JSON converter?
- A CSV to JSON converter (or CSV to JSON formatter) turns comma-separated values into an array of JSON objects using the header row as keys. This tool also works as a JSON formatter to CSV / JSON to CSV converter in the browser—no upload.
- Does it support custom delimiters and TSV?
- Yes. Choose comma, semicolon, tab (TSV), or pipe delimiters. Quoted fields and escaped commas follow RFC 4180-style rules, including UTF-8 BOM stripping.
- How are nested JSON objects handled?
- When converting JSON to CSV, nested objects are flattened with dot notation (for example address.city). Arrays of arrays export as raw CSV rows without object keys.
- Can I convert CSV to JSON in Python instead?
- Yes—pandas.to_json() or the csv module work in scripts. This online CSV to JSON converter is for quick private conversions without installing packages or uploading spreadsheets.
- Will Excel exports work?
- Most Excel CSV exports work if you pick the right delimiter (comma or semicolon depending on locale). Keep a header row for array-of-objects output.