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Convert JSON to CSV ready for Python pandas. Get properly typed data with numeric, boolean, and null handling for data science workflows.
> Turn JSON arrays and API payloads into spreadsheet-ready CSV locally.
> Map columns, flatten nested objects, and download clean exports without uploads.
JSON parsing and CSV generation happen in your browser. No API response or export data is uploaded to our server.
// CSV output appears here...
For Python data science, our JSON to CSV converter outputs data compatible with pd.read_csv(). Numeric values remain as numbers (not quoted strings), booleans become True/False, and null values become empty cells (which pandas reads as NaN). The column order follows the first object's key order, which matches the order you'd get from pd.json_normalize().
Either use pd.read_json(json_string, orient='records') directly, or convert to CSV with our tool and use pd.read_csv(). The CSV route is better when you need to inspect or edit the data in Excel first.
CSV to JSON
Convert CSV exports into clean JSON locally, inspect headers and rows, and copy or download API-ready output without uploads.
JSON Formatter
Validation, formatting and syntax highlighting for JSON.
JSON Schema AI
Generate JSON Schema draft 2020-12 with validation constraints for API and data pipelines.
Base64
Encode and decode text to/from Base64 format with UTF-8 support.