Analyze API data in a spreadsheet
Convert a list response into CSV so it can be opened in Google Sheets, Excel, or another spreadsheet tool.
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JSON to CSV Converter
The JSON to CSV converter turns a simple JSON array of objects into comma-separated values. It is intended for common tabular data such as exported API results, product lists, user records, analytics events, or simple datasets. The tool reads all object keys, builds a header row, and escapes values for CSV output.
This converter expects a top-level JSON array where each item is an object. It is not designed for deeply nested structures or mixed primitive arrays. If the input is not an array of objects, the page shows a clear error so you can adjust the data before converting.
JSON to CSV
Convert a simple JSON array of objects into CSV.
What this tool does
JSON is excellent for APIs and nested data, but CSV is still the most practical format for spreadsheets, quick reporting, and many business workflows. The JSON to CSV converter bridges that gap for simple tabular data. It expects a top-level JSON array where each item is an object, then uses the object keys as CSV columns and each object as a row.
This tool is designed for simple arrays of records, such as users, orders, products, analytics events, or exported API results. It handles commas, quotes, and line breaks in values by escaping them for CSV. If a value is itself an object or array, it is stringified into a JSON value inside the CSV cell rather than flattened into many columns.
For complex nested data, you may need a custom flattening strategy. For everyday developer tasks, though, a direct array-of-objects conversion is often enough to move data from an API response into a spreadsheet or share a quick sample with a non-developer teammate.
Common use cases
Share readable exports
CSV is often easier for non-developers to scan than raw JSON, especially for flat records.
Build quick reports
Transform a small JSON dataset into rows and columns for ad hoc reporting or QA checks.
Prepare import files
Some tools accept CSV imports but not JSON. Conversion helps reshape simple objects for those workflows.
Example before and after
Each object becomes one CSV row. The keys from the objects become the header row.
JSON array
[
{ "name": "Ada", "role": "Engineer" },
{ "name": "Linus", "role": "Maintainer" }
]CSV output
name,role
Ada,Engineer
Linus,MaintainerHow to use
- Paste a JSON array of objects.
- Click Convert to CSV.
- Review the CSV output and copy it.
Common errors
Top-level object instead of array
The converter expects an array of objects. Wrap records in brackets if you only have one object.
Mixed primitive values
Arrays of strings, numbers, or booleans are not tabular records and cannot be converted cleanly.
Deeply nested objects
Nested values are stringified. For deeply nested data, consider flattening fields before conversion.
Missing keys
If some objects do not include every key, the missing cells are left empty in the CSV output.
Why use this tool
Move simple JSON data into spreadsheets.
Create CSV from API responses without a script.
Flatten object lists into readable rows.
Best practices
Validate JSON first
The input must be valid JSON before it can be converted into rows and columns.
Use consistent object shapes
CSV works best when every object has the same keys and similar value types.
Review headers
Column names come from object keys. Rename keys before conversion if the CSV is for business users.
Keep nested data small
If a nested value is needed in a spreadsheet, extract the specific field rather than exporting the entire object.
Related JSON tools
Related guides
How to convert JSON to CSV
A practical guide to converting JSON arrays of objects into CSV for spreadsheets, reporting, and imports.
How to convert CSV to JSON
A practical workflow for converting CSV into JSON arrays for fixtures, APIs, and frontend prototypes.
Best practices for working with API responses
API responses are easier to debug when you validate syntax, format payloads, inspect errors, and compare changes deliberately.
FAQ
What JSON shape does this converter support?
It supports a top-level array where each item is a JSON object.
Does it handle nested objects?
Nested objects are stringified as JSON values. The tool is best for simple flat objects.
Are commas and quotes escaped?
Yes. CSV values with commas, quotes, or line breaks are quoted.
Is data processed locally?
The tool runs in your browser and does not require login, a database, or server-side processing.