JSON to CSV Converter

Convert JSON arrays to CSV format for spreadsheet analysis. Transform API data into a format Excel and other tools understand.

100% client-side No signup Free forever

JSON Input

CSV Output

Options

// how to use

How to Use JSON to CSV Converter

How to Convert JSON to CSV

  1. Input JSON: Paste JSON data or upload a JSON file
  2. Configure options:
    • Select output delimiter (comma, semicolon, tab)
    • Choose nested object handling (flatten, stringify)
    • Array expansion options
  3. Convert: Click to transform to CSV
  4. Preview: View the tabular data preview
  5. Download: Save as .csv file or copy to clipboard

Example Conversion

JSON Input:

[
  {"name":"John","contact":{"email":"[email protected]"}},
  {"name":"Jane","contact":{"email":"[email protected]"}}
]

CSV Output:

name,contact.email
John,[email protected]
Jane,[email protected]
// features

Features

  • Handle complex nested JSON
  • Flatten nested objects with dot notation
  • Multiple array handling options
  • Custom delimiters (comma, semicolon, tab)
  • Headers from object keys
  • UTF-8 BOM for Excel
  • Quote handling for special characters
  • Large JSON file support
  • Preview as table
  • Download CSV file
  • Copy to clipboard
  • No registration required
// about

About JSON to CSV Converter

APIs return JSON, but analysis often happens in spreadsheets. When you need to examine data in Excel, import it into databases, or share with non-technical stakeholders, CSV is the universal format everyone's tools support. Our converter bridges this gap effortlessly.

Conversion Process

The converter handles JSON to CSV transformation intelligently:

  • Array detection: Identifies arrays of objects as rows
  • Header extraction: Object keys become column headers
  • Nested flattening: Nested objects become dot-notation columns
  • Special character handling: Proper escaping of commas and quotes

Handling Complex JSON

Real-world JSON isn't always flat arrays. The converter handles nested objects by flattening them (user.address.city becomes a column), arrays within objects by joining values, and missing fields by leaving cells empty.

When to Use This Conversion

Data analysis: Export API data for pivot tables and charts in Excel. Reporting: Generate human-readable reports from JSON logs. Import preparation: Convert JSON exports for database import tools. Sharing: Provide data to colleagues who prefer spreadsheets.

CSV Considerations

CSV has limitations: no data types (everything is text), no hierarchy, potential encoding issues with international characters. For complex data, consider keeping JSON for programmatic use and CSV for human analysis.

// faq

Frequently Asked Questions

How does JSON to CSV conversion work?
Our converter flattens JSON objects into rows, using object keys as column headers. Arrays become multiple rows. Nested objects are flattened with dot notation (user.name, user.email) or can be kept as JSON strings. The result is a properly escaped CSV compatible with Excel and other spreadsheet software.
What happens to nested JSON objects?
Nested objects can be: flattened (user.address.city becomes a column), kept as JSON strings in a single column, or expanded into multiple rows. Choose based on your data structure and how you'll use the CSV. Deep nesting may require multiple passes or custom configuration.
How are arrays handled in JSON to CSV conversion?
Arrays of objects become multiple rows (common for data exports). Arrays of primitives can become comma-separated values in one cell or separate columns. For complex mixed arrays, we offer options to customize handling per your needs.
What if my JSON has inconsistent fields?
Real-world JSON often has objects with different fields. Our converter creates columns for all fields found across all objects. Missing values become empty cells. You can optionally generate only columns that exist in all records, or specify required columns.
How do I handle special characters in CSV output?
Fields containing commas, quotes, or newlines are automatically quoted. Quotes within values are escaped by doubling. We follow RFC 4180 CSV standard. Choose your preferred line ending (CRLF for Windows, LF for Unix) and delimiter (comma, semicolon, tab).
Can I convert large JSON files?
Yes! Our converter handles large files efficiently using streaming processing. For files over 10MB, we recommend the downloadable desktop version or API for better performance. We show progress and can pause/resume large conversions.