A pie chart is a circular statistical graphic divided into slices to illustrate numerical proportions. Each slice represents a category's contribution to the total (100%). Pie charts work best when you have 3–7 categories with clearly different values. They're ideal for showing parts of a whole — like budget allocation, market share, survey results, or time distribution. Avoid pie charts when categories have very similar values or when you need precise comparisons; in those cases, bar charts are often better.

It's simple: 1) Enter your category labels in the label fields (e.g., "Rent", "Food", "Transport"). 2) Type the corresponding numeric values — they don't need to add up to 100; the tool automatically calculates percentages. 3) Pick colors using the color dots or presets. 4) Your pie chart updates instantly as you type. 5) Click "Export PNG" to download your chart as a high-quality image. You can also switch between pie, donut, and ring styles using the slider or preset buttons.

A donut chart is essentially a pie chart with a hole in the center. The hole (or "cutout") is controlled by a percentage — 0% means a solid pie, 50% creates a classic donut, and 70%+ makes a thin ring. Donut charts offer a cleaner, modern look and leave room in the center for a total value or icon. Functionally, both show the same proportional data, so the choice is purely aesthetic. Use the slider above the chart to experiment with different cutout values.

Yes! Click the "Export PNG" button to download your chart as a high-resolution PNG image with a white background — perfect for presentations, reports, social media posts, or embedding in documents. The export uses your chart's current colors, labels, and donut settings. The image is generated at display resolution; for print-quality exports, consider enlarging your browser window before exporting.

For best readability, limit your pie chart to 3–7 slices. Too many slices (10+) make the chart hard to read, with tiny slices becoming nearly invisible. If you have more categories, consider grouping the smallest ones into an "Other" category. Data visualization experts like Edward Tufte and Stephen Few generally recommend pie charts only for simple part-to-whole relationships with few categories. For complex datasets, bar charts or treemaps are more effective alternatives.

Your data never leaves your browser. This tool runs entirely on your device — all chart rendering happens locally using JavaScript. We don't upload, store, or process your data on any server. Your chart data is temporarily saved in your browser's local storage so you don't lose your work if you refresh the page, but it's never transmitted anywhere. You can clear it anytime by clicking the Reset button.

Depending on your data and goal, consider these alternatives: Bar charts — better for comparing individual values precisely. Stacked bar charts — good for showing part-to-whole across multiple groups. Treemaps — ideal for hierarchical data with many categories. Waffle charts — a fun grid-based alternative to pie charts. Donut charts — a modern twist on pie charts (which this tool also supports). 100% stacked bar charts — excellent for comparing proportions across different groups.

1) Order slices from largest to smallest (clockwise from 12 o'clock) for easier reading. 2) Use contrasting, distinct colors — avoid similar shades that blend together. 3) Limit to 7 slices max; group tiny categories into "Other." 4) Always show percentages or values so viewers don't have to guess. 5) Avoid 3D effects — they distort proportions and make slices harder to compare. 6) Use a donut chart if you want a cleaner, more modern look. 7) Ensure sufficient color contrast for accessibility. 8) Label slices directly when possible rather than relying solely on a legend.