JSON to CSV Converter
Paste a JSON array to get clean CSV output, or paste CSV data to get structured JSON. Handles nested objects with dot notation. Download the result as a file. All processing in your browser.
How to Use the JSON to CSV Converter
- Choose your conversion direction: JSON → CSV or CSV → JSON
- Paste your data into the input field
- Click Convert to transform the data
- Copy the result or download as a file
- Nested JSON objects are flattened with dot notation headers
What Is JSON to CSV Conversion?
JSON (JavaScript Object Notation) and CSV (Comma-Separated Values) are two of the most widely used data interchange formats. JSON excels at representing structured, hierarchical data with nested objects and arrays, while CSV provides a flat, tabular format that spreadsheet applications like Microsoft Excel and Google Sheets can open natively.
Converting between these formats is a routine task for developers, data analysts, and anyone working with APIs or databases. A JSON-to-CSV converter flattens nested object properties into dot-notation column headers, ensuring no data is lost during the transformation. The reverse direction — CSV to JSON — takes tabular rows and turns them into an array of key-value objects, ready for consumption by web applications, REST APIs, or NoSQL databases.
This tool performs both conversions entirely in your browser. No data is uploaded to a server, so sensitive datasets remain private. It handles edge cases like missing keys across objects, arrays within fields, and special characters in CSV cells.
Popular Use Cases
API Data Export
Download JSON responses from REST APIs and convert them to CSV for analysis in spreadsheet tools, pivot tables, and charting applications.
Database Migration
Transform CSV exports from relational databases into JSON for import into NoSQL stores like MongoDB, Firebase, or DynamoDB.
Report Generation
Convert structured JSON datasets into CSV files that non-technical stakeholders can open in Excel to create reports and dashboards.
Data Cleaning Pipelines
Round-trip data through both formats to normalize structure — flatten nested JSON, inspect in a spreadsheet, then convert back to clean JSON.
Tips for Clean Conversions
Flatten Before Converting
Deeply nested JSON with more than two or three levels produces very long dot-notation headers. Pre-flatten your data or restructure it for cleaner CSV output.
Use Consistent Keys
When all objects in a JSON array share the same keys, the resulting CSV is clean and complete. Missing keys produce empty cells, which may confuse downstream tools.
Quote Special Characters
CSV fields that contain commas, newlines, or double quotes must be enclosed in quotes. This tool handles quoting automatically using the RFC 4180 standard.
Include Headers in CSV Input
When converting CSV to JSON, always include a header row. The first row defines the property names for each JSON object in the output array.
JSON vs CSV Comparison
| Feature | JSON | CSV |
|---|---|---|
| Structure | Hierarchical (nested objects and arrays) | Flat (rows and columns) |
| Human Readability | Moderate — requires formatting | High — opens in any spreadsheet |
| File Size | Larger due to key repetition | Smaller for tabular data |
| Schema Flexibility | Flexible — each object can differ | Rigid — all rows share columns |
| Tool Support | APIs, databases, programming languages | Excel, Google Sheets, SQL imports |