How do I create a chart from CSV or JSON data for free?

Paste your data or upload a file into our browser-based chart maker. It parses the data instantly, lets you pick a chart type and color palette, and then generates a downloadable PNG , all without any cost or uploads to a server.

What chart types can I generate with this tool?

You can create six chart types: bar charts for comparing categories, line graphs for trends over time, pie and doughnut charts for proportions, radar charts for multivariate comparisons, and polar area charts for radial data visualization.

Can I upload my own data files, or do I have to paste them?

Both methods are supported. You can paste CSV or JSON text directly into the editor, or use the built-in file uploader to load .csv, .json, or .txt files. The tool parses the contents automatically.

Are my data and charts uploaded to any server?

No. All data parsing, chart rendering, and image generation happen entirely inside your web browser. Your files and data never leave your device, ensuring complete privacy and security.

What is the difference between a pie chart and a doughnut chart?

Both display parts of a whole, but a doughnut chart has a hollow center that can be used to show additional information (like a total value), while a pie chart is a full circle. Doughnut charts are often preferred for cleaner, modern presentations.

Is there any limit on the amount of data I can visualize?

No hard limits exist because all processing runs locally. However, for readability, we recommend aggregating data into 5–15 categories. Charts with hundreds of data points may become cluttered, but the tool will still render them.

Free Online Chart Maker | Graph Generator from CSV & JSON

Free Online Chart & Graph Maker

Quick Answer

What chart type should I use for comparing values, trends, and proportions?

Use a Bar chart to compare values across categories (sales by region, scores by student). Use a Line chart to show trends over time (revenue per month, temperature over a week). Use a Pie or Doughnut chart to show proportions of a whole (market share percentages) — limit to 5–7 slices. Use a Radar chart to compare multiple metrics across categories (performance reviews, product attributes). Use a Scatter plot for correlation between two numeric variables. Rule of thumb: if you have time on the X axis, use line; if you have categories, use bar.

Instantly turn your raw data into stunning, responsive charts and graphs. Upload a CSV or JSON file, or paste your text directly to generate bar, line, pie, radar, and doughnut charts. Customize your palette and download high‑resolution images instantly.

Data Visualization

Free Online Chart Maker

Paste CSV or JSON, pick a chart type, and export as PNG, SVG, or JSON config — no account needed.

Data Input

Chart Configuration

Chart Type

Color Palette

Chart Title

X-Axis Label

Y-Axis Label

Show Legend

Show Grid Lines

Dark Chart BG

Export:

Live Chart Preview

Free Online Chart Maker — No Signup Required

Create professional bar charts, line graphs, pie charts, scatter plots, and more directly in your browser. Our free chart generator supports CSV and JSON input, renders instantly as you type, and lets you export to PNG, SVG, or JSON config — all without uploading your data to any server.

Supported chart types

Bar chart & Horizontal bar chart
Stacked bar chart
Line chart & Area chart
Pie chart & Doughnut chart
Radar chart & Polar area chart
Scatter plot

Key features

Paste CSV, TSV, or JSON data
Inline table editor — edit cells live
Export PNG · SVG · JSON config · CSV
8 colour palettes
Custom title & axis labels
Dark chart background option
Works with Excel copy-paste
100% client-side — data stays private

Frequently Asked Questions

: Paste your CSV or JSON data into the input field, choose a chart type, and your chart renders instantly — no signup required.
: You can export as PNG (raster image), SVG (vector, scalable), JSON (Chart.js config for developers), or download your data back as CSV.
: Bar, Horizontal Bar, Stacked Bar, Line, Area, Pie, Doughnut, Radar, Polar Area, and Scatter charts are all supported.
: Yes — copy any Excel table data and paste it as CSV (comma or tab-separated). The tool auto-detects columns and builds the chart.
: Fully. All processing happens in your browser — no data is ever uploaded to any server.

Also useful as a graph maker online free, data visualization tool, chart from Excel data converter, and make a chart online utility — no account needed.

Choosing the right chart type for your data

Chart type	Best for	Don't use for
Bar chart (vertical)	Comparing discrete categories — revenue by product, users by country	Time series with many data points — use line chart
Line chart	Trends over time — monthly active users, temperature over a year	Unordered categories — use bar chart
Pie / donut chart	Part-to-whole with 2–5 slices and one slice clearly dominant	More than 5 categories, or when exact values matter
Scatter plot	Correlation between two variables — ad spend vs. revenue	Categorical data with no numeric relationship
Area chart	Volume over time, especially for stacked totals	Negative values — area below zero is visually confusing
Histogram	Distribution of a single variable — response times, age ranges	Comparing separate groups — use grouped bar chart

Three chart patterns that misrepresent data

Truncated Y-axisStarting a bar chart's Y-axis at 95 instead of 0 makes a 1% difference look like a 100% difference visually. The bars appear to show a dramatic change when the actual values are nearly identical. Y-axes for bar charts should always start at zero. Line charts are more forgiving — a truncated axis can legitimately show trend detail.
Pie charts with too many slicesA pie chart with 8 slices — especially when several are similar sizes — makes it impossible to compare values. The human eye cannot judge angles accurately for adjacent slices. Beyond 4–5 slices, group the smallest values into "Other" or switch to a bar chart ranked by value.
Dual Y-axes implying correlationPlotting two unrelated datasets on dual Y-axes can make them appear correlated by adjusting the scale of each axis. A famous example: a line showing ice cream sales and a line showing drowning deaths tracked on separate scales — both peak in summer, but one doesn't cause the other. Dual-axis charts are legitimate when the relationship is real and explained.

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