Convert JSON to CSV Instantly
Got an API response full of data that you need in a spreadsheet? This tool takes your JSON array and converts it to CSV format that you can paste directly into Excel, Google Sheets, or any data tool. Nested objects get flattened automatically —address.city becomes a column header.
The converter handles edge cases that trip up simpler tools. Strings with commas get properly quoted. Unicode characters survive the conversion. Null values become empty cells. It's the kind of thing that takes 5 minutes to write in Python but is annoying enough that you'd rather just use a tool.
How Flattening Works
JSON is hierarchical — objects can contain objects can contain objects. CSV is flat — every value lives in a row-column grid. When your JSON has nested objects, this tool creates compound column names using dot notation. A structure like{"user": {"address": {"city": "London"}}} becomes a column called user.address.city. Arrays within objects are JSON-stringified since CSV can't represent them natively.
When to Use JSON to CSV
The most common use case is exporting data for non-technical stakeholders. Your product manager doesn't want to read JSON — they want a spreadsheet they can filter and sort. Grab the API response, paste it here, copy the CSV, done.
Another common scenario: feeding data into tools that only accept CSV. Many data analysis tools, database import wizards, and business intelligence platforms expect CSV input. Instead of writing a conversion script, paste your JSON here.
CSV Format Details
The output follows RFC 4180 — the standard CSV format. Fields containing commas, double quotes, or newlines are properly escaped with double quoting. The first row is always the header row with column names. Each subsequent row is one JSON object from your array.
Large Datasets
This tool handles reasonably large datasets in your browser — thousands of rows are fine. For truly massive datasets (millions of rows), you'd want a server-side solution. But for the typical "export this API page to a spreadsheet" use case, it works perfectly without any server dependency.
Related JSON Tools
Need to go the other way? Use CSV to JSON for importing spreadsheet data. For database seeding, try JSON to SQL. View data in a sortable table before exporting.