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JSON to CSV Converter

Convert JSON arrays to CSV format instantly. Paste a JSON array of objects, and get a clean CSV output with proper quoting and escaping. Copy or download the result.

Developer Tool

Paste a JSON array of objects. Each object becomes a CSV row.

Paste a JSON array above and click "Convert to CSV" to see the result

How to Use

  1. 1Paste a JSON array of objects into the input area (e.g., [{"name": "Alice", "age": 30}, ...]).
  2. 2The tool automatically detects column headers from the object keys.
  3. 3Click Convert to generate the CSV output with proper quoting and escaping.
  4. 4Preview the CSV data in the output area.
  5. 5Copy the CSV or download it as a .csv file.

About This Tool

The JSON to CSV Converter transforms JSON arrays into properly formatted CSV files. It automatically detects column headers from object keys and handles quoting, escaping, and special characters according to RFC 4180 standards.

Data analysts frequently receive data as JSON from APIs, databases, and web services, but need it in CSV for Excel, Google Sheets, or data visualization tools. Manually restructuring JSON into rows and columns is tedious and error-prone, especially with nested data or inconsistent keys across objects.

The converter handles common edge cases that trip up manual conversion: values containing commas are properly quoted, values with double quotes are escaped, and newlines within values are preserved. Objects with missing keys get empty cells in the output, maintaining proper column alignment.

This tool works best with flat JSON arrays (arrays of objects with primitive values). For deeply nested JSON, consider flattening the structure first or extracting the specific nested array you need. All conversion happens in your browser — no data is uploaded to any server.

Tips & Best Practices

  • ✓Flatten nested objects before converting. A field like {"address": {"city": "NYC"}} will not produce a separate "city" column — extract nested values first if you need them as individual columns.
  • ✓If your JSON has inconsistent keys across objects, the converter will include all unique keys as columns — check for unexpected empty cells in the output.
  • ✓For large datasets (10,000+ rows), download the CSV file rather than copying from the text area to avoid clipboard size limitations.

Frequently Asked Questions

What JSON format does this converter accept?▼
This converter accepts a JSON array of objects, where each object represents a row. For example: [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]. The keys from the first object are used as CSV column headers.
How are nested objects and arrays handled?▼
Nested objects and arrays are converted to their JSON string representation in the CSV output. For deeply nested data, you may want to flatten your JSON structure before converting. The tool preserves all data but complex structures will appear as stringified JSON in cells.
How does the converter handle commas and special characters in values?▼
Values containing commas, double quotes, or newline characters are automatically wrapped in double quotes following the RFC 4180 CSV standard. Any double quotes within values are escaped by doubling them (e.g., "He said ""hello""").
What happens if objects have different keys?▼
The CSV headers are determined by the keys of the first object in the array. If subsequent objects have different or missing keys, those columns will contain empty values. Extra keys in later objects that are not in the first object will be ignored.
Can I convert large JSON files?▼
This tool processes JSON entirely in your browser, so performance depends on your device. It works well for files up to a few megabytes. For extremely large datasets (100MB+), consider using a command-line tool like jq or a programming language script for better performance.

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