What is JSON to CSV?
A JSON to CSV Converter is an essential tool for reporting, data analysis, and archiving. While JSON is the format of choice for APIs and web applications, CSV (Comma Separated Values) remains the king of data exchange for spreadsheets like Microsoft Excel, Google Sheets, and business intelligence tools. This tool allows you to take complex, structured JSON data—such as API responses or NoSQL database exports—and flatten it into a tabular CSV format. It intelligently handles nested objects and arrays, creating a readable table structure that non-technical stakeholders can easily open and analyze. Whether you are generating reports from log data, exporting user lists from a database, or preparing data for a legacy system import, this tool streamlines the process. It operates 100% client-side, ensuring that your sensitive business data remains secure on your device.
Input Formats
- JSON Array of Objects
- Nested JSON structures
- .json files
Output Results
- CSV text
- Downloadable .csv file
- Excel-ready format
Key Features
Who is this for?
Reporting
Product managers needing to analyze API data in Excel to create pivot tables and charts.
Database Export
Developers exporting data from MongoDB or Firebase to be imported into a SQL database.
Log Analysis
Sysadmins converting JSON logs (like AWS CloudWatch) to CSV for easier filtering and sorting.
How to Use
Paste your JSON data (must be an array of objects).
The tool will parse the JSON and extract headers.
Click 'Convert' to generate the CSV.
Download the result and open it in Excel or Google Sheets.
Examples
Input
[
{
"name": "Alice",
"role": "Admin"
},
{
"name": "Bob",
"role": "User"
}
]Output
name,role
Alice,Admin
Bob,UserCommon Errors
- Invalid JSON syntax
- Inconsistent object keys in array
- Deeply nested arrays (hard to flatten)
Code Examples
Python
import pandas as pd
df = pd.read_json('data.json')
df.to_csv('data.csv', index=False)