JSON ↔ CSV - Free Online Tool | PivaBox

Convert between JSON and CSV formats

JSON ↔ CSV Converter — Convert Between JSON and CSV Data Formats Online

  1. Paste your JSON array or CSV data into the input panel. For JSON, the tool expects an array of objects where each object becomes a row and each key becomes a column. For CSV, the first line should be the header row with column names.
  2. Click Convert to transform your data. JSON → CSV: nested objects are flattened with dot-notation keys, arrays are joined. CSV → JSON: each row becomes a JSON object with header-based keys. The tool handles edge cases like quoted fields, embedded commas, and multi-line values.
  3. Copy the output or download it. The converter preserves data types where possible and provides clear error messages when the input format is invalid.

Frequently Asked Questions

Is the JSON ↔ CSV Converter free?

Yes, completely free. Convert unlimited datasets — essential for data analysts, developers, and anyone working with API exports, spreadsheet data, or database dumps.

Are my data uploaded anywhere?

No. All conversion is performed locally in your browser. Your datasets remain private — important for business data, customer records, financial information, and proprietary datasets.

When should I use JSON versus CSV, and what are the limitations of converting between them?

JSON is ideal for nested, hierarchical data structures (APIs, config files, NoSQL databases) and supports arrays, objects, and multiple data types. CSV is best for flat, tabular data (spreadsheets, data analysis, SQL imports) and is universally readable by Excel, Google Sheets, and pandas. When converting JSON → CSV: nested objects are flattened (user.address.city → user.address.city), arrays of primitive values are joined with commas, and deeply nested structures may produce wide CSV files. When converting CSV → JSON: all values are imported as strings (CSV has no type information), so you may need to coerce types (numbers, booleans) in your downstream code. For complex JSON with arrays of nested sub-objects, consider splitting into multiple CSV files linked by IDs.