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The process, step by step

How It Works

Drop your data. Ask a question. Get a chart, a written insight, and a shareable export — in under a minute. No dashboards, plugins, or SQL required.

Try free — 3 insights includedSee example outputs

Four steps from file to published insight

01
Upload

Upload any tabular file

Start with a CSV, TSV, XLS, or XLSX. The system inspects column types, identifies usable fields, and prepares your data. Signed-in uploads are saved to your private workspace so you can return to them any time.

  • Handles messy headers and mixed column types
  • No pre-cleaning required — basic structure is enough
  • Files saved to your workspace when signed in

products.csv

Drop your file here

CSV · TSV · XLS · XLSX

productgradeenergy_kcal
Organic OatsA219
Salted CrispsD521
Chocolate BarE412
4,994 more rows...

Discover questions

AI-suggested questions

Which grade has the highest average energy?How does calorie content vary by category?Compare Grade A vs Grade E products

Or type your own

“Which grade has the highest average energy content?”

Generate insight →
02
Discover

Let AI suggest where to start

This is the anti-blank-canvas moment. AI reads your data and generates contextually relevant questions you can click to start — or skip and type your own. The mode you pick shapes the chart architecture and the tone of the story.

Decision

Compare options, support a call

Deep Dive

Distributions, correlations, outliers

Story

One dramatic, shareable narrative

03
Explore

See the story. Then push it further.

AI generates a chart and a plain-language insight grounded in your actual data. Not happy with the angle? Ask a follow-up. Change chart types, labels, filters, or focus — each message updates the chart in place. No restarts, no configuration panels, no blank-page moment.

  • Interactive chart grounded in your data
  • Plain-language key insight written for you
  • Refine via chat: chart types, colors, filters, focus
  • Ask follow-up questions about the data

Generated insight

Example generated chart: mean energy (kcal) by Nutri-Score grade

Key Insight

Grade E averages 412 kcal/100g — nearly twice Grade A at 219 kcal/100g.

Ask a follow-up

Can you switch to a bar chart sorted by energy descending?
Done — bars sorted descending by mean energy, Grade E highest. Labels added to each bar.
Ask another follow-up...
→

Publish your story

PDF output preview thumbnail
Download PDF
Export PNG
Export SVG
04
Publish

Export publication-ready. Share immediately.

When ready, export a single-page PDF — or PNG and SVG — containing the chart, key insight, and takeaway. Designed to be presentation-ready out of the box. No screenshots, no manual formatting, no post-processing needed.

  • PDF includes chart + insight + takeaway on one page
  • PNG and SVG for embedding in slides or docs
  • Watermark-free on Starter and Pro plans

Three modes, one tool

The mode you pick shapes the chart type, layout, and insight framing. Choose based on what you actually need from the data.

Decision

When you need to compare options or groups and support a clear call.

  • Grouped or stacked bars
  • Side-by-side comparisons
  • Reference lines for benchmarks
Preview of the Foods Health Scores & Allergens insight reportSee example →
Deep Dive

When you want to understand distributions, correlations, and outliers.

  • Scatter plots, box plots, histograms
  • Trend lines and confidence bands
  • Multi-faceted breakdowns
Preview of the updated Meteor Strikes insight reportSee example →
Story

When you want one dramatic, shareable visual with a clear narrative.

  • Editorial-styled chart
  • Annotated scatter or line chart
  • One bold view, one clear message
Preview of the updated Iris data insight reportSee example →

Same data. Completely different conversation.

From a wall of rows to a clear, shareable story.

Before — Raw CSV

meteor_strikes.csv — 34,065 rows

namemass_gfell_foundyearreclatreclong
Aachen21Fell188050.7756.083
Aarhus720Fell195156.18310.233
Abee107000Fell195254.217-113.0
Acapulco1914Fell197616.883-99.9

34,061 more rows...

Now what? Where do you even start?

After — AI-generated insight

Focus Question

“How does mass distribution vary between Fell and Found meteorites?”

Jittered dot plots comparing Fell vs Found meteorite mass distributions on a log scale

Key Insight

Fell meteorites have a median mass ~120× higher than Found ones, even though both groups span 9+ orders of magnitude.

A clear answer, grounded in the data.

Sense-making, not infrastructure

Optimized for exploration and fast communication — not a replacement for BI platforms or data pipelines.

Great fit

You need a fast answer from a dataset you just received

You're presenting findings to non-analysts

You want to explore the data before committing to Tableau or Power BI

You want a shareable chart in a slide or email without manual formatting

Not the right tool if...

You need a live, always-on dashboard

You need formal statistical modeling or hypothesis testing

You need ETL pipelines or data warehouse integration

Ready to tell your data story?

Upload a file and see what you can uncover in minutes. No credit card needed — 3 free insights included.

Start free →See example outputs
Chartales

Upload your data. Let AI surface what's interesting. Ask questions, explore freely, and publish a beautiful chart in seconds — no code, no analyst, no waiting.

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