CSV / Excel to JSON Converter
Convert comma-separated table text into formatted JSON data with custom indentation and header mapping options.
Run tool
Transform tabular spreadsheet exports and comma-separated text into structured JSON arrays directly in your web browser. When you paste raw comma-delimited rows into the input field, the converter parses each row into readable records based on your selected settings. By default, the top row supplies the property names for every following data entry, creating an array of key-value objects. If your text does not contain headers, disabling the key row setting treats every line as raw entry data. You can also customize the indentation spacing to format compact single-line outputs or clean multi-line blocks for easier reading. Values are read directly as plain text without automatic type guessing, keeping your original numbers and strings intact. Blank submissions return an empty list with a zero item count. Use this online converter whenever you need clean JSON data formatted from exported tables for web applications or configuration files.
Instructions
- Paste or type your comma-separated table data into the CSV text box.
- Choose whether the first row should serve as column header keys for your records.
- Set the desired indentation space count for the output formatting.
- Click the run button to generate your structured JSON array.
- Copy the resulting JSON text along with the recorded row count for your workflow.
Examples
- Input CSV Text: name,role,department Alice,Engineer,Platform Bob,Designer,Product Indentation: 2 Use First Row as Header: Enabled Output JSON: [ { "name": "Alice", "role": "Engineer", "department": "Platform" }, { "name": "Bob", "role": "Designer", "department": "Product" } ] Record count: 2
- Input CSV Text: 101,North,Active 102,South,Pending Indentation: 2 Use First Row as Header: Disabled Output JSON: [ [ "101", "North", "Active" ], [ "102", "South", "Pending" ] ] Record count: 2
FAQ
Can I upload an .xlsx or .xls spreadsheet file directly?
No. The tool accepts text input rather than binary workbook files. To process spreadsheet data, copy the table cells or export the sheet as a CSV text file, then paste the text into the input field.
Are cell values automatically converted into typed JSON data?
All cell values are parsed and output as text strings. The tool does not automatically infer numeric, date, or other data types.
What happens if I submit an empty or whitespace input?
Submitting empty text produces an empty JSON array with a record count of zero.
Can this tool construct nested objects or deeply structured hierarchies?
The tool generates flat record structures directly matching your rows and columns. It does not assemble multi-level nested objects or custom schema trees.