How to Convert JSON to CSV or Excel — Free, No Signup
You have a JSON file. You need a spreadsheet. Here are the three ways to get there, fastest first — including one that never sends your data anywhere, which matters more than most people realise.
(If you're not sure what JSON actually is, two minutes with our plain-English explainer will make everything below obvious.)
Method 1: A Browser-Based Converter (Fastest)
Cocoon's free JSON Converter does the whole job in one screen:
- Open mycocoon.life/json-converter
- Paste your JSON, or drop the .json file onto the page
- Preview the table it builds — each item becomes a row, each field a column
- Download as CSV and open it in Excel, Google Sheets or Numbers
Two things make this the method we recommend:
- Everything runs in your browser. The file is never uploaded to a server. If your JSON contains customer records, employee data or anything under confidentiality rules, "no upload" isn't a nicety — it's the difference between converting a file and leaking one. Many popular converter sites process your file server-side; check before you paste.
- It validates as it converts. JSON breaks loudly — one stray comma and the file is invalid. The converter points at the problem instead of silently failing.
No signup, no file-size nagging, no watermark. It's part of Cocoon's set of free tools.
Method 2: Excel or Google Sheets Directly
Excel (Windows, Microsoft 365): Data → Get Data → From File → From JSON, then use Power Query's "To Table" and expand the columns. It works well, but Power Query's interface assumes you know what records and lists are — budget a few minutes of clicking the first time. Mac Excel's JSON support is patchier.
Google Sheets has no native JSON import. You'll need an Apps Script or a third-party add-on — at which point you're back to Method 1 with extra steps.
Use this method when the JSON import is something you'll repeat weekly on the same shaped file: Power Query remembers the transformation and re-applies it on refresh.
Method 3: Ask an AI (With One Caveat)
Pasting JSON into ChatGPT or Claude with "convert this to CSV" works for small files. Two caveats:
- Size: long files get truncated silently — you may receive 80 rows of your 300 and no warning.
- Privacy: you've just pasted your data into a third-party service. Same rule as Method 1: fine for harmless data, wrong for customer records.
Where AI genuinely shines is the weird cases — "flatten this so each order line is its own row, repeat the customer columns" — where you need judgement, not just conversion.
What About Nested JSON?
The one honest complication. If each item contains its own list (a customer containing orders), a flat table has to choose: one row per customer, or one row per order? No converter can read your mind — decide which level of the data is your row, and convert that. When in doubt, pick the most detailed level; you can always aggregate upward in a pivot table, but you can't disaggregate downward.
The 30-Second Summary
- One-off conversion: browser converter — 30 seconds, private, free
- Repeating weekly import: Excel Power Query
- Weird restructuring: AI, if the data is safe to share
And once the data is in a clean table, it becomes dramatically more useful as AI input too — that's the subject of Clean Data In, Better AI Out: Why File Formats Matter.
Cocoon builds free AI tools and runs practical AI training for professionals and teams across Sri Lanka and Southeast Asia. Try the free tool from this article or talk to us about training.