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Online AI graph maker for pasted data and text

AI Chart Generator for Reviewable Chart Visuals

Use the AI Chart Generator to paste rows from Excel or CSV, enter text values, or describe a chart. It creates an image-based visual draft that you can refine in FigEditor; it does not directly parse spreadsheet files, and every label, axis, and data point still requires review.

Paste Excel, CSV, or text valuesBar, line, pie, and scatter chartsReview and refine every visual

8 AI Chart Examples: Bar, Line, Pie, Scatter, and Heatmap

Choose an original chart pattern, replace the sample values with your own pasted data, and check every label, unit, and scale before sharing.

Paste Excel, CSV, or Text Values into Chart Drafts

Paste selected spreadsheet rows or structured text to draft a focused chart for a report, research figure, lesson, or presentation without arranging every axis by hand.

Build Charts for Business Reports — Convert sales, revenue, market-share, survey, or operating metrics into a chart that makes comparison and change easier to review.

Build Charts for Business Reports

Convert sales, revenue, market-share, survey, or operating metrics into a chart that makes comparison and change easier to review.

Draft Scientific and Academic Charts — Visualize experimental groups, time series, or correlations, then verify error bars, sample sizes, statistical notes, and every plotted value.

Draft Scientific and Academic Charts

Visualize experimental groups, time series, or correlations, then verify error bars, sample sizes, statistical notes, and every plotted value.

Create Presentation-Ready Data Visuals — Turn a short list of values into a readable chart for a slide, poster, classroom handout, or stakeholder update.

Create Presentation-Ready Data Visuals

Turn a short list of values into a readable chart for a slide, poster, classroom handout, or stakeholder update.

02Chart workflow

AI Graph Maker for Reports and Research

Give the model structured values and a clear comparison goal, then keep every important visual choice open to review in FigEditor.

Turn Pasted Rows into a Chart Draft — Paste categories, dates, values, units, and the comparison you need from Excel, CSV, or text. Exact labels and a clear chart goal make the result easier to verify.

Turn Pasted Rows into a Chart Draft

Paste categories, dates, values, units, and the comparison you need from Excel, CSV, or text. Exact labels and a clear chart goal make the result easier to verify.

Keep Scales, Error Bars, and Claims Honest — State the required baseline, axis range, uncertainty, sample size, and verified statistical annotations. Never ask the model to invent missing measurements or significance.

Keep Scales, Error Bars, and Claims Honest

State the required baseline, axis range, uncertainty, sample size, and verified statistical annotations. Never ask the model to invent missing measurements or significance.

Refine Labels, Color, and Layout in FigEditor — Open the draft in FigEditor and continue with focused revisions to labels, hierarchy, color, spacing, or annotations before export.

Refine Labels, Color, and Layout in FigEditor

Open the draft in FigEditor and continue with focused revisions to labels, hierarchy, color, spacing, or annotations before export.

Data integrity

Check Data, Axes, and Statistical Claims

A convincing chart can still be wrong. Treat every generated image as a visual draft and compare it with the source before using it in a report, paper, or presentation.

Match Every Mark to a Source Value

Check each bar, point, line, percentage, category, date, and unit against the data you supplied.

Review Baselines and Axis Ranges

Confirm that the scale does not exaggerate small differences, hide variation, or imply a comparison the source cannot support.

Add Only Verified Statistical Claims

Use error bars, p-values, trend lines, and sample sizes only when those values already come from a valid analysis.

Scatter plot with twelve biomarker observations, an honest zero-to-one response scale, regression line, and R-squared label
The visual draft shows the requested relationship; the researcher remains responsible for the calculation and interpretation.Review before use

Why Use an AI Data Visualization Generator?

Move from pasted spreadsheet rows or a written brief to a readable chart draft while keeping source review and practical output in view.

Generate a Chart Direction Faster

Turn structured values into a concrete chart draft before spending time on manual axis setup, labels, legends, and styling.

Faster First Draft

Start from the Question the Chart Must Answer

Describe whether readers should compare categories, follow change over time, inspect a relationship, or understand parts of a whole.

Clear Chart Intent

See the Model and Credit Cost Up Front

Choose the generation model and resolution while seeing the credit cost before the chart draft is created.

Transparent Credits

Use Exact Values, Labels, and Units

Supply the wording and measurements that must stay unchanged, then compare every plotted element with the original source.

Data-Specific Input

Continue Refining the Generated Chart Draft

Keep the useful composition and make focused changes to labels, annotations, emphasis, color, or layout in FigEditor.

Reviewable Workflow

Keep Human Review in the Loop

Verify calculations, axis choices, uncertainty, sample sizes, statistical claims, and visual implications before export.

Human Verification

How to Make a Chart with AI in 3 Steps

Paste structured values from Excel, CSV, or text, describe the comparison, then generate and review the chart before using it.

Step 1: Paste the Data and Exact Labels

Provide categories or dates, values, units, and any verified uncertainty or sample-size information. This page currently accepts pasted text plus optional image references.

Step 2: Describe the Chart Goal and Format

Say whether the visual should compare categories, show a trend, display proportions, or inspect a correlation. Specify the chart type only when you already know what fits.

Step 3: Generate, Verify, and Refine

Compare every mark with the source, check the axis and legend, remove unsupported claims, then continue refining the visual draft in FigEditor.

Three-group experimental time-series chart generated from exact values with markers, error bars, and a reviewable legend

AI Chart Generator FAQ

Answers about text and data input, chart types, accuracy, editing, statistical plots, and credit use

Paste categories or dates with their values, units, and exact labels, then explain what readers should compare or understand. The AI Chart Generator creates a visual draft from that text. Check every mark, legend entry, axis, and annotation against the source before refining the chart in FigEditor.

Create a Reviewable Chart Visual from Your Data

Use the AI Chart Generator to create a focused visual, verify every value and scale, and continue refining the chart in FigEditor.