What is the JSON Viewer?
Raw JSON is great for machines and terrible for eyeballs. Five levels of curly braces, trailing commas, one long line — you know the drill. The JSON Viewer turns that into something you can actually browse: each array becomes a row, each object becomes a set of columns, and nested structures become tables-inside-tables you can drill into.
It's built for the moment you just want to SEE the data. Not parse it, not validate it, not convert it — see it. Drop in a fetch response, a GraphQL payload, a log line, whatever. The viewer lays it out so you can tell at a glance whether the API returned what you expected and whether the shape matches what your code wants.
Everything runs in your browser — no upload, no account, no limits on the number of paste-and-view cycles you can burn through in an afternoon.
How to View JSON Here
Three steps to a structured view of your data. The buttons below the editor match what you're reading here.
Paste or Load a Sample
Copy JSON from your API client (Postman, Insomnia, browser DevTools Network tab) and paste it on the left. If you want to see the viewer in action first, hit Sample to load a small dataset.
{"order": {"id": "ORD-4821", "customer": {"name": "Priya Shah", "tier": "gold"}, "items": [{"sku": "SKU-101", "qty": 2}, {"sku": "SKU-204", "qty": 1}], "total": 189.50}}If your JSON is malformed, you'll see a message right under the editor pointing at where the parser gave up.
Browse the Structure
The right side re-renders instantly whenever your input changes. Arrays of objects show up as rows with columns for each key. Nested objects and arrays become their own mini-tables inside the cell, so you can follow a chain like order.customer.tier visually. Use Main or Nested to flip orientation when a record has more keys than rows — sometimes it's easier to read keys as rows and values as columns. The layout follows the JSON types defined in RFC 8259.
Narrow Down What You're Looking At
Every column has a filter box. Type gold in the tier column, SKU-1 in a SKU column, pending in a status column — rows that don't match get hidden. Filters are case-insensitive and stack (tier=gold AND status=paid). If a column is cluttering your view, click Edit, then the remove (×) icon on the header to drop it.
Go Full Screen for Wide Data
For datasets with 20+ columns, hit Full Screen. The table expands to the full viewport so you can scroll horizontally without the side panel in the way. Great for debugging a fat GraphQL query or a denormalized report.
Share or Export When You're Done
Found something worth flagging? Hit Share to create a short link (1 hour, 1 day, or 1 week) and send it to a teammate — they open the same view, same JSON, no re-pasting. Or click Excel to download the table as .xls for Excel, Google Sheets, or LibreOffice. Parsing happens client-side via JSON.parse().
When the Viewer Pays Off
Eyeballing API Responses
You hit an endpoint in Postman, get back 8 KB of JSON, and need to know whether a nested shipping.address.country field is populated. Paste the response here and you have your answer in two seconds. No mental JSON parsing required.
Reading Log Streams
Structured logs from <a href="https://www.elastic.co/elasticsearch" target="_blank" rel="noopener">Elasticsearch</a>, CloudWatch, or any JSON-line logger land as single-line blobs. Drop one in here to see timestamp, service, level, message, and trace ID laid out clearly — useful when you're tailing a flaky service at 2 AM.
Reviewing Schema Samples
Looking at example payloads in a <a href="https://swagger.io/specification/" target="_blank" rel="noopener">Swagger/OpenAPI</a> spec or a team's README? Paste the example block and walk through the shape field by field. Faster than reading indented JSON top to bottom, and you spot optional/missing fields immediately.
Showing Data to Stakeholders
Your PM wants to know what the checkout API returns, but "here's a JSON blob" won't fly. Generate a share link, paste it in Slack, and they see a proper table — no explanation of brackets and colons needed.
FAQ
What's the difference between a JSON viewer and a JSON parser?
They overlap heavily, but the framing is different. A parser focuses on the act of turning JSON text into a usable structure (and flagging bad syntax). A viewer focuses on the output — how the parsed result gets presented so you can read it. This tool does both under the hood, but the UI is tuned for browsing large or deeply nested data rather than just validating it.
Does my data leave my browser?
No. Parsing and rendering happen locally with JavaScript. The only time data leaves is if you click "Share" to mint a short link, and even then you control the expiry (1 hour to 1 week). If you're viewing something sensitive, just don't share — close the tab and it's gone.
How deep can the nesting go?
No hard cap. The viewer recursively renders nested arrays and objects to whatever depth you throw at it. Deep structures do get visually busy at some point — five or six levels in, consider using the Filter row to focus on the branch you actually care about, or flip nested orientation with the Nested button.
Can I see arrays of primitives too, not just objects?
Yes. An array like ["read", "write", "admin"] renders as a single-column list. Mixed arrays (objects + primitives) also work — each element gets its own row, and the viewer figures out the column set from whatever keys are present across the objects.
Why are some columns gone after I refreshed the JSON?
If you removed columns earlier (via the × icon in edit mode), the viewer remembers that for the current session and hides the underlying keys from the JSON too. Pasting fresh JSON re-runs the detection. If a column you expect is missing, check whether edit mode dropped it, or whether the key actually exists in every record.
How large a JSON file is comfortable?
Files up to a few MB render fast. Past 5 MB you'll feel the browser working. Past 10 MB things get sluggish but the viewer still handles it — if you're routinely dealing with 50 MB+ datasets, grab a CLI tool like jq or gron first, then paste the relevant slice here.
Related JSON Tools
Viewing is one slice of what you might want to do with JSON. If you need something more specific, try these: