Generate interactive charts from raw JSON without writing a line of parsing code. Upload a .json file or paste an API response, and our engine flattens nested structures and picks the best chart for your data.
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
Chart API data directly
Take the JSON an endpoint returns and turn its numeric fields into a chart without writing parsing code. Useful for quick dashboards over live data you already fetch.
Visualize metrics & events
Event streams and metrics are usually JSON arrays. Plot counts, durations, or amounts over time to see patterns that are invisible in the raw payload.
Report on nested records
Pull the array that matters out of a nested response and chart it — orders, users, or line items — to summarize a JSON dataset for people who never see the API.
Charting JSON without writing a parser
Turning an API response into a chart normally means writing code: fetch the payload, walk to the array you want, flatten the nested fields, map them into whatever shape your charting library expects. It is a familiar hour of work for a question you wanted answered in a minute.
Here the file is read first. The parser locates the records, flattens the nested fields, and works out which columns hold numbers, which hold dates and which hold categories. Chart types that suit that structure are generated immediately, so you start by looking at a chart rather than building one.
How the chart type is chosen
Chart choice follows the shape of the data rather than a preference.
A date field beside a numeric field is a series over time and reads best as a line chart — the common case for time-series metrics and event counts. A category field beside a numeric field is a comparison across groups, which suits a bar chart. Two numeric fields suggest a relationship that a scatter plot shows. A small set of categories making up a whole can work as a pie chart.
Several suggestions are offered rather than one, since the same records often support more than one honest reading. Any chart downloads as a PNG for a slide, a document or a message.
Structuring JSON that charts well
The generator works from an array of objects that share the same keys: each object is a data point, each key a possible axis or series.
Keep numbers as JSON numbers. A value written as "42" with quotes is a string, and a string column is charted as categories rather than on a numeric scale — the single most common reason a chart looks wrong. The same applies to dates: an ISO date string parses, but a custom format may not.
Uniform records give the most reliable result. Missing or extra keys across objects still work, but they leave gaps in the series. If one file holds several unrelated collections, chart them one at a time.
You do not need to unwrap the array or flatten nested fields yourself — both are handled, including NDJSON input.
Reading the table beside the charts
Charts and the parsed records sit behind two tabs on the same screen. When a chart looks wrong, the table usually shows why: a numeric field stored as text, a date that did not parse, or a record that carries different keys from the rest.
Each column in the table shows its detected type, and a search box covers all of them. Exports to CSV and JSON are in the same place if you need the flattened data elsewhere — which is also the quickest way to get a nested API response into a spreadsheet.
Tips & best practices
The generator charts best from an array of objects that share the same keys, so each object is a data point and each key a possible axis or series. You do not need to unwrap the array yourself: if it sits inside {"data":{"items":[…]}}, the parser locates it, and nested fields are flattened to dotted columns such as user.name. NDJSON files work too. Use one numeric field per series and a consistent label field — a date or category — for the axis. Keep numbers as JSON numbers, not strings like "42", so they plot on a numeric scale instead of as categories. Mixed or missing keys across objects still work but can leave gaps, so uniform records give the most reliable charts.
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.Can it chart an API response directly?
Yes. Save the response as a .json file and upload it. The records are located inside any wrapper object, so a typical {"data":{"items":[…]}} payload needs no editing.
Q.Which chart types can it produce?
Bar, line, scatter and pie. Suggestions follow your field types — dates and numbers lean toward line charts, categories and numbers toward bar charts.
Q.Why are my numbers plotted as categories?
They are stored as strings. A value written "42" with quotes is text, not a number. Remove the quotes in the source JSON so the field parses as numeric.
Q.Do nested fields work as chart axes?
Yes. Nested objects are flattened to dotted columns such as user.plan, and those columns can be used as an axis or series like any other.
Q.Can I download the chart?
Yes. Each chart has a download button that saves a PNG, and the parsed data can be exported as CSV or JSON from the same screen.
Have a different file type?
Each format has its own dedicated tool built for it.