PixConvert

JSON to CSV Converter

Convert JSON arrays to CSV in one click — paste your data, choose a delimiter, download the file.

JSON input

CSV output

Why Use PixConvert JSON to CSV

The fastest JSON-to-CSV tool — no backend, no uploads, no waiting.

Array to Spreadsheet

Converts arrays of objects to CSV rows. Auto-detects column headers from object keys.

Multiple Delimiters

Choose comma, semicolon, tab, or pipe delimiter to match your target application's import format.

Nested Object Flattening

Optionally flatten nested objects to dot-notation column names (address.city, address.zip).

Download as File

Download the result as a .csv file directly — no server required. Opens in Excel, Google Sheets, Numbers.

100% Private

All conversion runs in your browser. Your JSON data never leaves your device.

Instant Preview

CSV output appears in a scrollable preview panel before you download.

JSON to CSV Use Cases

Move data between APIs and spreadsheets without writing conversion scripts.

API Data Export

Export API response arrays to CSV for analysis in Excel or Google Sheets.

  • Export REST API results
  • Convert paginated results
  • Share data with non-technical teammates

Database Exports

Convert JSON exports from MongoDB, DynamoDB, or Firebase to CSV for reporting.

  • MongoDB JSON exports
  • Firebase Realtime DB exports
  • Elasticsearch query results

Data Analysis

Import JSON datasets into pandas, R, or Excel for statistical analysis.

  • Prepare for pandas read_csv
  • Excel pivot table import
  • CSV upload to data tools

How to Convert JSON to CSV

1

Paste your JSON array into the editor. Select a delimiter and toggle options (header row, flatten nested).

2

Click Convert to CSV. Preview the output, then download the .csv file or copy to clipboard.

3

Open the CSV in Excel, Google Sheets, or any spreadsheet app — nested keys flatten to dot-notation columns.

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Frequently Asked Questions

JSON to CSV conversion explained.

What JSON structure is supported?

The input must be a JSON array of objects (e.g. [{"name":"Alice","age":30},{"name":"Bob","age":25}]). Each object becomes a CSV row. Keys from the first object are used as column headers.

What if my objects have different keys?

The converter collects all unique keys across all objects and uses them as columns. Missing values for a row are output as empty fields.

How are nested objects handled?

With flatten enabled, nested objects are expanded to dot-notation columns: {"address":{"city":"NYC"}} becomes an address.city column. Without flatten, nested objects are JSON-stringified into a single cell.

Can I convert CSV back to JSON?

Not directly in this tool. For CSV-to-JSON, use the JSON Formatter (paste the CSV as a string and transform manually) or check back — a CSV-to-JSON tool is on the roadmap.

Why use semicolons or pipes instead of commas?

Some European locales use semicolons as the CSV delimiter (Excel interprets them correctly). Pipes (|) or tabs are used when your data contains commas (e.g. addresses) and you want to avoid quoting every field.