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Chart Builder

Build beautiful charts instantly — Bar, Line, Pie, Doughnut, Radar, and more. Powered by Chart.js. Export as PNG.

Chart Type
Data
Or paste CSV (label,v1,v2…)
Options

About Chart Builder

This tool lets you create professional-looking bar, line, pie, and donut charts directly in your browser by entering labels and values into a simple grid. Choose your chart type, add a title, tweak the color palette, and see the chart render live — then export it as a PNG image ready to paste into a report, slide deck, or issue ticket.

All chart generation happens locally using Chart.js — your data is never transmitted anywhere. This makes it a safe option for visualizing internal metrics, financial figures, or any data that should not leave your machine. No account, no export limits, no watermarks.

Common Use Cases

How to Use

  1. Select a chart type (Bar, Line, Pie, or Donut) using the type buttons at the top
  2. Enter your data labels and corresponding numeric values into the table rows; add or remove rows as needed
  3. Optionally enter a chart title and adjust the color theme to match your brand or presentation style
  4. Click "Export PNG" to download the rendered chart as a high-quality image file

Frequently Asked Questions

How many data points can I add?

You can add as many rows as you need — there is no enforced maximum. That said, pie and donut charts become hard to read with more than 8–10 segments. For datasets with many categories, a bar or line chart is usually more legible. The tool renders all rows you provide without truncation.

What format is the exported PNG?

The PNG is exported directly from the canvas element at the size it's rendered on screen. For a sharper image, expand your browser window before exporting to increase the canvas resolution. The exported file has a transparent background on supported chart types and is ready to paste into Google Slides, Notion, Figma, or any tool that accepts image uploads.

When should I use a line chart vs a bar chart?

Use a line chart when your data represents a continuous sequence over time (daily active users, weekly revenue, monthly signups) — the connected line emphasizes the trend. Use a bar chart when comparing discrete, independent categories (revenue by product, errors by endpoint) where there is no inherent continuity between the data points.

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