Open any JSON file or API response in your browser and read it as a clean, formatted data grid. Upload a .json file to expand nested objects, flatten arrays, and preview every field before turning it into a chart.
Try it free →No signup · No data stored · 100% free
How it works
- 1
Upload your JSON file
Drop any .json file. No account required.
- 2
AI-assisted conversion
Our engine reads your data, detects column types, and picks the best chart for each pattern.
- 3
Visualize your graphs
Interactive charts are ready instantly. Explore trends and share insights.
Everything you need, nothing more
No account needed
Upload instantly, zero signup.
Privacy first
Files are never stored on our servers.
Any device
Works on mobile and desktop.
AI-powered
Smart chart selection from your data.
Common use cases
Read API responses
Paste or upload a raw API response and read it as a clean, indented tree instead of a single unbroken line. Expand nested objects to find the field you need fast.
Debug config & logs
Open a JSON config file or structured log to check values and spot a missing bracket or wrong key. Formatting makes structural mistakes obvious at a glance.
Explore before charting
Preview nested arrays and objects to decide which fields are worth plotting. See the shape of the data first, then turn the numeric parts into a chart.
Read a JSON file without an editor or a formatter
A raw JSON file is one long line. Opening it in a text editor gives you syntax, not structure — you still have to scroll, count brackets, and hold the shape in your head. Most people paste it into a formatter first just to see what is inside.
This viewer skips that step. Upload a .json file and it is parsed and laid out as a data grid: one row per record, one column per field. Nothing is installed and no account is created. It works the same on Windows, macOS, Linux, ChromeOS, Android and iOS, so a locked-down work laptop reads the file as well as your own machine.
Nested objects are flattened for you
Real JSON is rarely a flat list. API responses wrap records in an envelope, and each record holds objects inside objects. Most viewers hand you a collapsible tree and leave the flattening to you.
Here nested fields become dotted columns automatically: a record containing {"user": {"name": "Ada", "plan": "pro"}} produces user.name and user.plan columns beside the rest. You do not prepare the file, and you do not lose the nested values.
The wrapper is handled too. If your records sit inside {"data": {"items": [...]}}, the parser walks the tree and picks that list on its own — you are not asked to point at it.
Shapes that usually break other viewers
Three exports account for most "this file won't open" moments, and all three are supported:
NDJSON, also called JSON Lines — one complete JSON object per line, with no surrounding array. It is the standard shape for logs, event streams and bulk API exports, and it is not valid JSON as a whole, which is why strict parsers reject it.
An object keyed by id or date, such as {"2024-01": {...}, "2024-02": {...}}. Those keys are usually the axis you care about, so they are kept as the first column instead of being discarded.
A single flat object, which becomes a one-row table rather than an error.
What to check once the file opens
Each column header carries a type label — number, date or text. This is worth a glance: a field exported as "42" with quotes is text, not a number, and it will behave as a category anywhere downstream. Catching that here is faster than debugging it later.
Rows are paginated so a large response stays responsive, and a search box filters across every column at once. When the data looks right, a charts tab sits beside the grid, and exports to CSV and JSON are above it.
Your file is parsed and returned as data rather than kept in permanent storage, and your file history stays in your own browser.
Tips & best practices
The viewer accepts any valid JSON — a single object, an array of objects, NDJSON (one object per line), or deeply nested structures. Nested objects are flattened automatically, so {"user":{"name":"Ada"}} becomes a user.name column; you do not have to flatten anything first. If your records sit inside an outer wrapper such as {"data":{"items":[…]}}, the parser finds that list on its own. An object keyed by id or date — {"2024-01":{…},"2024-02":{…}} — keeps its keys as the first column, which is usually the axis you want. If a file won't load, a trailing comma, single quotes, or an unescaped character is the usual culprit: strict JSON needs double quotes around keys and string values. Your file is parsed and returned as data rather than kept in permanent storage, and your file history stays in your own browser.
Ready to visualize your data?
Upload your JSON file and see your data come alive instantly.
Try it free →Frequently asked questions
Q.What does this site do & how can I convert my JSON files to graphs?
This site is a free, instant online tool to view, read, and convert JSON (.json) files into interactive charts. Simply upload your file in the box above, and our system will automatically analyze your data structure, detect column types, and generate chart recommendations which you can customize and export.
Q.What file types are supported?
.json files are supported.
Q.What chart types can it generate?
Bar, line, area, pie, scatter, and trend charts — chosen automatically based on your data.
Q.Is it free?
100% free. No signup, no credit card, no limits.
Q.Does it handle NDJSON or JSON Lines files?
Yes. One object per line with no surrounding array is detected and parsed, which is the usual shape for logs and bulk exports that strict JSON parsers reject.
Q.Do I have to flatten nested JSON first?
No. Nested objects become dotted columns automatically, so {"user":{"name":"Ada"}} shows up as a user.name column without any preparation.
Q.My records are inside a wrapper object. Does that work?
Yes. The parser searches the tree for the best list of records, so {"data":{"items":[…]}} works without you pointing at the array.
Q.Why won't my file load at all?
Almost always a syntax problem: a trailing comma, single quotes instead of double, or an unescaped character. Strict JSON needs double quotes around keys and string values.
Q.Is there a size limit?
Large files open fine. Rows are paginated so the page stays responsive instead of rendering everything at once, though very large files take a moment longer to parse.
Have a different file type?
Each format has its own dedicated tool built for it.