CSV to JSON Converter
Convert CSV data into a JSON array online. Paste your rows or upload a CSV file, pick the delimiter, choose whether the first row is a header, and copy or download the JSON result.
FreeOnline Tool
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How to Use
- Paste your CSV data into the input box, or click the upload button and choose a CSV file.
- Confirm the delimiter setting (comma, tab, semicolon and so on).
- Decide whether the first row should be treated as the header row of field names.
- The tool converts the data into a JSON array automatically.
- Click "Copy" or "Download" to take the JSON result away.
Features
- Custom delimiters including comma, tab (TSV) and semicolon
- Uses the first row as field names to build an array of objects
- Handles quoted fields, including values that contain the delimiter itself
- JSON output in either pretty-printed or minified form
- Accepts a CSV file upload directly, not just pasted text
Use Cases
Importing spreadsheet data through an API
Convert a CSV exported from Excel into JSON so you can push the records into a REST API in bulk.
Preparing data for analysis
Turn a raw CSV dataset into JSON that loads cleanly in JavaScript or Python for further analysis.
Seeding frontend table components
Convert static CSV data into a JSON array to use as the initial data source for grid components such as ag-Grid or Element Plus.
Preparing a database bulk import
Convert batch CSV data to JSON for mongoimport or any other import tool that accepts JSON input.
FAQ
How are quoted fields in the CSV handled?
Under RFC 4180 a double-quoted field is treated as a single value, so commas and line breaks inside it are not delimiters, and an embedded quote is escaped as "". This tool follows that standard.
What if my CSV has no header row?
Turn off the "first row is header" option and the tool falls back to numeric index keys such as field_0 and field_1 for the JSON properties.
Are numeric values converted to JSON numbers?
By default, fields that are purely numeric are detected and emitted as JSON numbers while everything else stays a string. You can disable type inference in the options to output all values as strings.
Can it handle very large CSV files?
Browser memory is the limit, so stay under roughly 5MB per conversion. For much larger files a server-side tool such as jq or csvkit is a better fit.