How to Convert JSON to CSV — Free Online Guide (2026)

1. Open: Go to ToolsArena JSON to CSV Converter
2. Paste or upload JSON: Paste your JSON data or upload a .json file
3. Preview: See the CSV table preview to verify the conversion
4. Adjust settings: Choose delimiter (comma, tab, semicolon), handle nested objects
5. Download CSV: Click Download to save as .csv file

The converter automatically flattens nested objects and handles arrays.

Simple Array of Objects (Best Case)

[
  {"name": "Alice", "age": 30, "city": "Mumbai"},
  {"name": "Bob", "age": 25, "city": "Delhi"}
]

Converts cleanly to:

name,age,city
Alice,30,Mumbai
Bob,25,Delhi

Nested Objects

[{"name": "Alice", "address": {"city": "Mumbai", "state": "MH"}}]

Flattened to: name, address.city, address.state

Arrays Inside Objects

[{"name": "Alice", "skills": ["JS", "Python"]}]

Joined as: name, skills → Alice, "JS, Python"

Tip: For deeply nested JSON, consider extracting the specific array you need before converting.

• API responses: Convert REST API JSON output to CSV for analysis in Excel
• Database exports: MongoDB, Firebase, and NoSQL databases export JSON — convert for SQL import
• Analytics data: Google Analytics, Mixpanel, and other tools export JSON
• Sharing with non-devs: Send CSV to managers, clients, or team members who use Excel
• Data migration: Move data between systems that speak different formats
• Reporting: Generate CSV reports from JSON data sources

• Validate JSON first: Use a JSON formatter to ensure your JSON is valid before converting
• Start with an array: CSV works best when JSON is an array of objects with consistent keys
• Flatten nested data: Pre-process deeply nested JSON to extract the data you need
• Check encoding: Ensure special characters (accents, CJK) are in UTF-8
• Handle nulls: Null values become empty cells in CSV — acceptable for most uses
• Large files: For files over 50MB, consider command-line tools like jq or Python pandas