JSON to CSV Converter — Free Online, No Code Needed

JSON and CSV are the two most common data formats in software development — but they don't always play nicely together. APIs return JSON, spreadsheets expect CSV. This guide shows you how to convert between them instantly, for free, with no code.

Convert JSON to CSV online — free

Go to SolutionGigs JSON to CSV Converter. Upload your .json file, click Convert, and download your .csv in seconds.

Requirements for JSON input: The JSON must be an array of objects — the most common API response format:

[
  {"name": "Alice", "age": 30, "city": "London"},
  {"name": "Bob",   "age": 25, "city": "Paris"}
]

This produces a clean CSV with headers on the first row:

name,age,city
Alice,30,London
Bob,25,Paris

Single objects are also accepted — they convert to a one-row CSV.

Convert CSV to JSON online — free

Go to SolutionGigs CSV to JSON Converter. Upload your .csv file and download structured JSON in seconds.

The first row of your CSV becomes the keys. Each subsequent row becomes one object in the JSON array:

product,price,qty
Widget,9.99,100
Gadget,24.99,50

Becomes:

[
  {"product": "Widget", "price": "9.99",  "qty": "100"},
  {"product": "Gadget", "price": "24.99", "qty": "50"}
]

When to use JSON vs CSV

How to convert JSON to CSV without code

Manual approaches are tedious for large files. The most reliable no-code methods:

1. SolutionGigs (this tool) — upload, convert, download. Free and unlimited.

2. Excel Power Query — Data → Get Data → From File → From JSON. Works well but requires Excel 2016 or later and has a learning curve.

3. Google Sheets — paste JSON into a formula or use =IMPORTDATA(). Limited to simple flat arrays.

4. Python (one-liner)

import json, csv, sys
data = json.load(open('input.json'))
w = csv.DictWriter(open('output.csv','w', newline=''), fieldnames=data[0].keys())
w.writeheader(); w.writerows(data)

For most users, uploading to SolutionGigs is 10× faster than setting up Python or Power Query.

Common JSON to CSV problems

Nested objects — If your JSON has nested objects like {"address": {"city": "London"}}, they need to be flattened first. You can either pre-process with jq or write a short Python script to flatten before uploading.

Arrays inside objects — If a field contains an array value like {"tags": ["red", "blue"]}, it will be serialised as a string in the CSV. This is expected behaviour — CSV is flat by definition.

Different keys per object — If not all objects have the same keys, missing fields will be left blank in the CSV output.

Large files — Files up to 500 MB are supported. For very large JSON files (millions of rows), the Parquet format is more efficient — use JSON to Parquet for big data pipelines.

Convert JSON to Excel directly

If you need Excel format instead of CSV, use JSON to Excel converter — it produces a .xlsx file with a styled header row that opens directly in Excel or Google Sheets.

Frequently asked questions

Is the JSON to CSV conversion free? Yes — 100% free, no monthly limits, no account required. Convert as many files as you need.

What is the maximum file size? 500 MB. For files larger than that, split the JSON array into batches first.

Does the tool handle UTF-8 characters? Yes. Non-ASCII characters (accented letters, CJK, Arabic, etc.) are preserved correctly.

Can I convert CSV back to JSON? Yes — use the CSV to JSON converter on the same page.

Ready to convert? JSON to CSV — free, no signup →