TG Productive Web Apps
Chart & Data Tool

Online Chart
Maker.

Turn spreadsheet rows into polished, editable charts and export the finished visual as PNG, PDF, or interactive SVG.

No registration Fast browser workflow Direct results
Saved locally
Bar chart Live preview · vector based
2026 PERFORMANCE OVERVIEW

Revenue by region

Quarterly revenue compared with target · USD millions

Total revenue $32.8M Across 5 categories
100%

Export complete

A practical visual workspace

Build a chart that explains the numbers instead of merely decorating them

A useful chart begins with a question: what should someone understand after looking at this for five seconds? This chart maker is designed around that moment. You can start with the sample dataset, type values directly into the table, upload a CSV file, or paste cells copied from Excel, Numbers, or Google Sheets. The preview changes as the data changes, so there is no separate build step between correcting a number and seeing the result.

The editor keeps the chart library, working canvas, and controls in one place without forcing you through a wizard. That matters when the first chart type is not quite right. A bar chart may reveal a clear comparison, while the same rows in a line chart may suggest a trend that the data does not honestly support. Being able to switch views quickly makes it easier to judge the story before you spend time polishing colors and labels.

Bring in real data without rebuilding your spreadsheet

Small datasets can be edited directly in the table. Add or remove rows, rename the category labels, and decide whether the chart needs one value series or two. For larger jobs, the CSV uploader reads the heading row and turns the remaining rows into editable chart data. The paste option is often even faster: copy a rectangular group of cells from a spreadsheet, paste it into the import window, and review the parsed rows before continuing.

Numbers containing familiar currency signs, percent marks, or commas are cleaned during import, which helps with ordinary business data. The editor still leaves the resulting values visible instead of hiding them behind a black box. If a heading was interpreted incorrectly or a blank row slipped into the selection, you can repair it immediately. Keeping that table beside the visual is a simple safeguard against publishing a beautiful chart with the wrong source values.

Choose from thirteen chart types for different kinds of questions

Bar and horizontal bar charts are dependable for direct comparisons. Line and area charts work best when the categories follow a genuine sequence, such as months or years. Pie and donut charts can show a compact part-to-whole view when there are only a few meaningful slices. Radar, scatter, and bubble charts are available for relationships that need more than a single ranked list.

The specialized group includes heatmap, funnel, waterfall, and gauge views. A heatmap can make a dense pattern easier to scan. A funnel emphasizes stages and drop-off. A waterfall helps explain how positive and negative changes lead to a final figure, while a gauge gives one headline measure a prominent visual treatment. These options are not interchangeable, so the live chart library lets you test the same data in several forms before choosing the version that communicates most honestly.

Control the wording, palette, labels, and supporting details

A chart rarely stands on marks alone. The Design panel lets you write a clear title, a short subtitle, and a small kicker above the headline. Five prepared palettes provide a useful starting point, while the primary and secondary color controls allow precise changes. The palettes contain enough colors for charts with many categories, rather than repeating the first few shades until the legend becomes confusing.

The Format panel handles the details that determine how busy the finished visual feels. You can show or hide the legend, data labels, grid lines, and metric summary. Prefix and suffix fields make values read naturally as currency, percentages, units, or abbreviated totals. A source line at the bottom gives you a place to identify where the numbers came from and when they were updated. These small pieces make an exported chart easier to trust when it is separated from the page that originally explained it.

Export a chart for documents, websites, presentations, or print

PNG export creates a high-resolution image at two, three, or four times the base size. It is a straightforward choice for slides, reports, social posts, and content-management systems. The transparent-background option is useful when the chart must sit over an existing design. PDF export places the chart beside a readable data snapshot, so the visual and its underlying rows can travel together in one file.

SVG export keeps the chart sharp at any size and is the strongest option for web publishing or later vector editing. The interactive SVG option includes hover information without depending on an external chart library or remote script. You can download the file, copy the embed code, or hand the self-contained markup to a developer. The chart remains useful even if scripting is unavailable because the export also carries accessible labels and a static tooltip fallback.

A careful workflow for making a clearer chart

  1. Begin with the point you need the reader to understand, then keep only the rows and series that support that comparison.
  2. Type the values, upload a CSV, or paste spreadsheet cells. Read the imported table once before judging the chart.
  3. Try two or three suitable chart types and reject any view that exaggerates, hides, or confuses the relationship.
  4. Rewrite the title so it describes the finding rather than using a vague label such as “Results” or “Overview.”
  5. Choose a restrained palette, add units, and turn on labels only when they help someone read the values more accurately.
  6. Check the source line and final preview, then export the format that fits where the chart will actually be used.

Your current project stays available in this browser

The editor saves the working chart to local browser storage as you make changes. Returning on the same browser restores the recent project, including its data, chart type, labels, colors, and display choices. The undo control helps with smaller corrections during the current session, while New Project resets the workspace when you deliberately want a clean start.

Because the chart is assembled in the browser, ordinary editing does not require sending the dataset to a chart-rendering API. Downloads are created from the current visual on your device. You should still avoid placing confidential information into any web tool unless your organization permits it, and you should keep the original spreadsheet as the authoritative copy. The local save is convenient working memory, not a replacement for a proper data backup.