Free JSON to CSV Converter

Convert JSON arrays to CSV files instantly. Handles nested objects, special characters, and large datasets — all processed in your browser.

JSON Input

Drop a .json file here or browse

How to Convert JSON to CSV in 3 Steps

Paste your data, convert, and download — all in your browser.

Paste or Upload JSON

Paste a JSON array of objects into the input area, or upload a .json file from your device.

Convert to CSV

Click Convert. Nested objects are flattened with dot notation, and all values are properly escaped.

Copy or Download

Copy the CSV to your clipboard or download it as a .csv file for Excel, Google Sheets, or any application.

Why Choose Our JSON to CSV Converter

Nested Object Flattening

Deeply nested JSON objects are flattened using dot notation so every value maps cleanly to a single CSV column.

RFC 4180 Compliant

CSV output follows the RFC 4180 standard with proper quoting and escaping, ensuring compatibility with all major spreadsheet apps.

100% Browser-Based

All processing happens in your browser. Your data never leaves your device, making it safe for sensitive or proprietary information.

Handles Irregular Data

Objects with different sets of keys are merged into a unified header row. Missing values become empty cells.

File Upload Support

Upload .json files via drag-and-drop or the file browser. No need to copy-paste large datasets.

Instant Download

Download the converted CSV with one click. The file is generated client-side and ready for immediate use.

Frequently Asked Questions

What JSON structure does the converter accept?

The converter accepts a JSON array of objects, which is the most common structure for tabular data. Each object in the array becomes a row in the CSV, and the object keys become column headers. For example, [{"name":"Alice","age":30},{"name":"Bob","age":25}] produces a two-row CSV with columns 'name' and 'age'.

How are nested JSON objects handled?

Nested objects are automatically flattened using dot notation. For example, if a record contains {"address":{"city":"London","zip":"SW1"}} the converter creates columns named 'address.city' and 'address.zip'. This keeps the data readable in any spreadsheet application.

Does the converter handle special characters in values?

Yes. Values containing commas, double quotes, or newlines are properly escaped according to RFC 4180. Commas and newlines cause the value to be wrapped in double quotes, and any double quotes within the value are escaped by doubling them. This ensures compatibility with Excel, Google Sheets, and other CSV parsers.

Is there a size limit for the JSON input?

There is no strict server-side limit because all processing happens in your browser using JavaScript. Practically, files up to about 50 MB convert smoothly on most devices. Very large files may be slower on older hardware or mobile devices.

Is my data private and secure?

Completely. The conversion runs entirely in your browser. Your JSON data is never uploaded to any server or shared with any third party. This makes the tool safe for proprietary datasets, API responses containing personal information, and any other sensitive data.

Can I upload a .json file instead of pasting?

Yes. Click the file upload area or drag and drop a .json file onto the upload zone. The converter reads the file contents directly in your browser and populates the input area so you can preview the data before converting.

What if my JSON objects have different keys?

The converter collects all unique keys across every object in the array and uses them as column headers. If a particular object is missing a key, the corresponding cell in that row is left empty. This handles irregular or sparse datasets gracefully.

Can I convert a single JSON object instead of an array?

Yes. If you paste a single JSON object (not wrapped in an array), the converter treats it as a one-row dataset. The object keys become column headers and the values fill a single row. For multiple records, wrap your objects in a JSON array.

When to Convert JSON to CSV

JSON is the standard data format for web APIs, configuration files, and NoSQL databases, but many business workflows still rely on spreadsheets. Converting JSON to CSV bridges the gap between developer-facing data and spreadsheet-based analysis, reporting, and data entry. Common scenarios include exporting API responses for business analysts, preparing datasets for import into legacy systems that only accept CSV, and creating human-readable reports from application logs.

The key challenge in JSON-to-CSV conversion is handling nested structures. A flat JSON array maps directly to rows and columns, but real-world API data often contains nested objects and arrays. This tool flattens nested objects using dot notation (e.g., address.city) so that every piece of data gets its own column without losing the hierarchical relationship in the key name.