Three steps. Thirty seconds.

01

Paste your data

Plain text, a CSV file, or an Excel sheet — headers on top, numbers below. That’s all the formatting it needs.

02

Pick a chart

ChartThat reads your table’s semantics and recommends the types that genuinely fit — trend, comparison, or rate — with a one-line reason for each.

03

Export to your deck

Download a native, editable PowerPoint chart or a looping animated GIF. No watermark, no sign-up, no detours.

The chart Copilot can’t make

A revenue bridge starts at one number, walks through what added and what leaked, and lands on the next. It’s how finance and consulting decks explain a gap — and Copilot in PowerPoint won’t build one. You rebuild it by hand out of stacked bars, then rebuild it every time a number moves.

ChartThat makes it natively: paste a table with signed movements, pick Waterfall, export an editable PowerPoint chart. Change a number later and the bridge redraws in seconds.

Waterfall & revenue bridge maker →

Thirteen chart types, and when to use each

Bar

Compare values across categories — the default answer to “which is biggest?”

Needs1 category column + 1–3 numeric columns

e.g. quarterly revenue by product line

H-Bar

Same comparison, rotated. Better when category names get long.

Needs1 category column + 1–3 numeric columns

e.g. brand awareness by campaign name

Line

Show a trend over time — the workhorse for anything with a date axis.

Needs1 time column + 1–4 numeric columns

e.g. monthly active users over a year

Area

A trend with a sense of volume — good for cumulative or total trends.

Needs1 time column + 1–3 numeric columns

e.g. cumulative sign-ups by month

Combo

Two units, one chart: bars for volume, a line for the rate that explains it.

Needs1 category/time column + numeric columns + 1 % column

e.g. revenue bars with a growth-rate line

Stacked

Part-to-whole across categories — totals and their composition at once.

Needs1 category column + 2+ numeric columns (same unit)

e.g. sales by channel, stacked per quarter

Slope

Before vs after for many items — slopes make winners and losers obvious.

Needs1 item column + exactly 2 period columns

e.g. this year vs last year, per product

Scatter

Relationship between two metrics — correlation, clusters, outliers.

Needs2 numeric columns (+ optional label)

e.g. ad spend vs conversions per campaign

Waterfall

How a total is built up or worn down, step by step.

Needs1 stage column + 1 numeric column (deltas)

e.g. budget from plan to actual, item by item

Radar

A profile across 3+ metrics — compare entities at a glance.

Needs3+ numeric columns (same unit) + 1 label column

e.g. two products scored on five attributes

Pie

Share of total for a few categories — best kept to 2–5 slices.

Needs1 category column + 1 numeric column

e.g. market share of the top four brands

Donut

A pie with breathing room — same job, lighter look.

Needs1 category column + 1 numeric column

e.g. traffic share by source

Sunburst

Hierarchical share — a whole and its parts, ring by ring.

Needs2 category columns + 1 numeric column

e.g. sales by region, then by country

Made for people who live in decks

Find your seat, then the job you’re actually doing this week.

Consultants

Turn the client’s spreadsheet into exhibit-ready charts before the Monday steering committee.

Plan vs actual, one bridge The gap slide every steering committee asks for.
Where the client stands on five axes Positioning scores — one shape per competitor.
How the market splits beneath the headline Region, then segment — one ring at a time.
What moved since last quarter Two columns in, a hundred slopes out.

Marketing & advertising

Campaign results, budget breakdowns, media mix — from report table to client slide in one paste.

Which campaigns earned their spend Spend on one axis, conversions on the other — the outliers introduce themselves.
Where the budget went, channel by channel Totals and mix inside the same bar.
Pacing against the quarterly target Volume as bars, attainment as a line.
Share of spend by channel Five channels, five slices, no eyeballing.

Operations & product

Weekly metrics, funnels, and before/after comparisons that keep up with the numbers.

The funnel, stage by stage Long stage names read better sideways.
The weekly number, twelve weeks running One line. No commentary needed.
What the launch added, cumulatively Volume and build-up in one read.
Which release moved the metric One bar per release, ranked.

Analysts & students

See thirteen ways to show the same table, then take the editable file into your report.

One table, thirteen ways to show it Try every chart type before you commit.
Who holds what share of the total Four slices that sum to a hundred.
Pick the chart by the conclusion A field note on choosing before drawing.
The seven edits after you double-click Make an exported chart look like it was born in your deck.

Field notes: Charts That Sell

No chart-beauty contests. Notes on making data close deals, written between pitches — in English, because that’s where the pitches happen.

Field note #1

Choose the chart by the conclusion you’re selling

Urgency wants a line. A gap wants bars. Reallocation wants blocks. Attribution wants a waterfall.

Field note #2

One slide, one claim: the 3-second rule

The client gives each page three seconds. Three claims on one page is no claim at all.

All field notes → Browse all 13 chart makers →

Built by someone who makes slides for a living

I work in advertising. Most of my Fridays end the same way: a spreadsheet full of numbers, a client pitch on Monday, and a deck full of charts that don't exist yet.

I tried everything. AI chatbots wanted a prompt and returned a picture of a chart — flat, uneditable, useless the moment a number changed. Plugins wanted installs and accounts. BI tools wanted a data warehouse. What I actually needed was embarrassingly simple: a table in, a PowerPoint chart out.

So I built it. Paste your data, get thirteen kinds of genuinely editable charts, exported as native PowerPoint objects or animated GIFs. No sign-up, no chat window, nothing to install — and your numbers are never stored, never fed into someone else’s conversation.

Read the full story →

Late at night, a marketer buried in presentation slides and printed charts

Frequently asked questions

Is ChartThat really free?

Yes — completely. No account, no watermark, no trial period, no hidden limits. It runs on a small server that costs less than a coffee per month, and that’s fine.

Is my data safe here?

Your table is processed in memory, only to build your charts. We never store your data, chart titles, or column names — our own statistics count feature usage only, with no IP addresses and no user content. Read our privacy policy

What input formats are supported?

Paste plain text or a markdown table, or upload a .csv or .xlsx file. Put headers in the first row and numbers below — ChartThat detects types, units, percentages, and missing values on its own.

Are the exported PowerPoint charts really editable?

Yes. The .pptx file contains a native PowerPoint chart object, not an image. Double-click it in PowerPoint, WPS, or Keynote to edit the data and restyle it with your own theme.

Which chart types can it generate?

Thirteen: bar, horizontal bar, line, area, combo (bar + line on dual axes), stacked, slope, scatter, waterfall, radar, pie, donut, and sunburst. The guide above shows when to use each.

Can I export animated charts?

Yes — any chart can be downloaded as a looping animated GIF, with optional data labels and a solid or transparent background. GIFs play in every slide tool without plugins.

Which languages does the interface support?

中文, English, Français, Deutsch, and Español. The interface follows your browser language automatically, and chart titles are written in the language you use.

Does it work with WPS and older PowerPoint versions?

Any tool that opens .pptx works — Microsoft PowerPoint 2013+, WPS Office, Keynote, Google Slides. Charts stay editable everywhere, including WPS, with no broken-link prompts.

Can I use the exported files commercially?

Absolutely. Your data is yours and your charts are yours — client work, reports, publications, no attribution required.