JSON to CSV Converter

Convert and flatten JSON data instantly

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Convert JSON to CSV | Instant Data Transformation

Turn complex JSON arrays into clean, spreadsheet-ready CSV files. Whether you're debugging API responses or prepping database exports for a marketing report, this tool flattens hierarchical data into a format Excel and Google Sheets can actually read.

๐Ÿ’ก Why Use This Tool?

Raw JSON is great for machines but terrible for human analysis. Use this converter to bridge the gap between your dev tools and your spreadsheet.

  • Flatten nested objects: Automatically convert deep JSON structures into flat columns using dot notation (e.g., user.address.city).
  • Validate syntax in real-time: Catch formatting errors as you paste. The tool highlights syntax issues immediately so you don't waste time on broken data.
  • Maintain total privacy: Your data never leaves your machine. All processing happens locally in your browser, making it safe for sensitive logs and PII.

๐Ÿ“˜ Pro Tips

  • Auto-wrap objects: Paste a single JSON object and the tool will automatically treat it as a one-row dataset.
  • Choose your delimiter: Toggle between commas, tabs (TSV), or semicolons to match your specific regional Excel settings.
  • Preview before downloading: Review the first 10 rows in a dynamic table to ensure your nested keys mapped correctly.
  • One-click export: Generate a .csv file instantly that is fully compatible with Microsoft Excel, Google Sheets, and Airtable.

๐Ÿง FAQ

Is there a size limit? The tool easily handles datasets up to several megabytes. For files over 100MB, performance depends on your browserโ€™s available RAM.

How are null values handled? Nulls are converted to empty strings to keep your spreadsheet clean and prevent calculation errors.

What does "Flattening" actually do? It converts nested properties like "meta": {"id": 10} into a single column header named meta.id. This is required for viewing hierarchical data in a standard 2D table.

๐Ÿ“š Trivia

The CSV format dates back to 1972โ€”decades before JSON became the web's standard. Despite its age, CSV remains the "universal language" of data because it is lightweight and compatible with nearly every data tool ever built. Converting modern JSON back to CSV is one of the most common daily tasks in data engineering.