📄 File & Document Tools
Convert comma-separated rows with a header into a JSON array of objects locally.
Convert standard comma-separated text into a JSON array where the first row supplies object keys and each later row becomes an object.
Parse comma-separated tabular data and convert rows into JSON objects using the header row as keys. Quoted fields, embedded commas, and empty values are handled according to the parser's documented behavior.
The selected file is processed in browser memory. Keep an original copy and inspect the downloaded result before using it as an authoritative or archival document.
Last reviewed for accuracy:
Scenario: CSV headers are name,quantity and the row is “Notebook,12”.
Result: The JSON output contains an object with name set to Notebook and quantity represented according to the selected type behavior.
The header cells become property names and each subsequent record maps values by column position.
A CSV parser reads delimiters, quoted fields, escaped quotes, and record boundaries rather than splitting every line on commas. JSON serialization then emits an array of row objects.
No. This focused version parses comma-separated CSV. It does support quoted commas and line breaks inside fields.
A comma inside a properly quoted field is data, not a separator. A real parser is needed to handle those records safely.