Online Tool Store
CSV to Chart-Ready JSON
Paste CSV data to convert it into a JSON array shaped for common charting libraries, with column headers mapped to labels and series values. Runs entirely in your browser.
🔒 This tool runs entirely in your browser. Your files are never uploaded to a server.
Example
CSV to Chart-Ready JSON
Sample: 3-row CSV
Example shown — replace it with your own CSV.
month,revenue Jan,4200 Feb,4800 Mar,5100
Result
[
{ "label": "Jan", "value": 4200 },
{ "label": "Feb", "value": 4800 },
{ "label": "Mar", "value": 5100 }
] How it works
- Paste your CSV data, including the header row.
- Choose which columns map to label and value.
- Get a JSON array ready to feed into a charting library.
The method
Each CSV row becomes one object in the output array, with header names mapped to the label and value keys most charting libraries expect out of the box.
FAQ
What JSON shape does it produce?
An array of objects with "label" and "value" keys by default, a shape widely accepted by charting libraries like Chart.js, Recharts, and D3.
What if my CSV has more than two columns?
Choose which column maps to the label and which maps to the value; additional columns can be included as extra keys on each object.
Does the first row need to be a header?
Yes — the first row is treated as column names used to build the JSON keys.
How we compare
| Feature | Online Tool Store | Manual JSON authoring | Spreadsheet export script |
|---|---|---|---|
| No software install | Yes | Yes | No |
| Quick to start | Yes | Slow | Setup required |
| Free to use | Yes | Free | Often paid |
For a quick one-off conversion before wiring up a chart, this beats writing a script for a single dataset.