JSON to CSV Converter
Transform JSON array data into CSV format instantly with customizable delimiters and proper escaping.
0 / 15,000 characters
Introduction
While JSON is the native format for APIs and JavaScript applications, CSV remains the expected import format for spreadsheets, databases, and business intelligence tools like Tableau and Power BI. Converting JSON API responses into flat tabular rows is a routine step when analysts need to explore data in Excel or when migrating from a MongoDB document store to a relational PostgreSQL table. A JSON to CSV converter flattens nested objects and arrays into columns, producing a clean comma-separated file that any spreadsheet can open without errors.
What Is JSON to CSV Converter?
A JSON to CSV converter takes a JSON array of objects and produces a CSV table where each object becomes a row and each unique key becomes a column header. Flat JSON with consistent keys maps directly — [{"name":"Alice","age":30}] becomes "name,age\nAlice,30". The challenge arises with nested objects and arrays, which the converter handles through dot-notation flattening: {"address":{"city":"NYC"}} becomes a column header "address.city" with the value "NYC".
Array values within objects require special handling. The converter can join array elements with a configurable separator (semicolon by default), so {"tags":["red","blue"]} becomes a "tags" column with the value "red;blue". For arrays of objects — such as a user record with multiple phone entries — the tool offers an "explode" mode that creates separate rows for each array element, duplicating the parent fields. This produces a denormalized table suitable for pivot analysis in spreadsheet software.
The converter handles inconsistent schemas where different objects in the array have different keys. It collects all unique keys across every object to form the complete column set, filling missing values with an empty string or a configurable placeholder like "N/A". This ensures the CSV has a uniform structure even when the source JSON has sparse or evolving schemas — a common situation with API responses that add new fields over time.
JSON to CSV Converter Examples
| Input | Output |
|---|---|
| [{"name":"Alice","age":30},{"name":"Bob","age":25}] | name,age\nAlice,30\nBob,25 |
| [{"user":{"name":"Eve","addr":{"city":"LA"}}}] | user.name,user.addr.city\nEve,LA (dot-notation flattening) |
| [{"id":1,"tags":["a","b"]}] (explode mode) | id,tags\n1,a\n1,b (one row per array element) |
Key Features of JSON to CSV Converter
- Automatic flattening of nested JSON objects using dot-notation column headers like "address.city"
- Array handling with configurable join separator or explode mode for one row per array element
- Inconsistent schema support that merges all keys from all objects into a complete column set
- Configurable CSV delimiter, quoting rules, and missing-value placeholder (empty or "N/A")
- File upload for converting JSON files up to 50 MB without copy-pasting into the text area
- Preview table showing the first 50 rows before downloading the full CSV output
- One-click download of the resulting CSV file or copy to clipboard for pasting into spreadsheets
How It Works
Paste Your JSON Array
Provide a JSON array of objects where each object represents a row of data. The tool accepts standard JSON syntax including nested objects and arrays. You can paste directly from an API response, a database export, or any JSON file content without pre-formatting.
Flatten and Tabulate the Data
The converter extracts the keys from all objects to build column headers, then flattens each object into a row of comma-separated values. Nested properties are expanded using dot notation so that deeply nested fields appear as their own columns rather than being lost in the conversion.
Download or Copy the CSV Output
The resulting CSV text is displayed in a preview panel and can be copied to your clipboard or downloaded as a .csv file. Values containing commas or quotes are automatically escaped with double-quoting per CSV standards, ensuring the output opens correctly in any spreadsheet application.
Who Uses This
Data Analysts
converting JSON API responses into CSV format so they can import the data into Excel or Google Sheets for pivot table analysis and chart creation without writing a custom parsing script
Backend Developers
transforming MongoDB query results from JSON into CSV for stakeholders who prefer spreadsheet views, automatically handling nested fields that would otherwise require manual extraction
Marketing Operations Managers
flattening JSON exports from marketing platforms into CSV files that can be uploaded into CRM systems and reporting dashboards that only accept tabular data formats