Turn your spreadsheet data into clear, interactive visualizations. Upload Excel or CSV files and get instant charts with automatic data analysis.
Try it free →No signup · No data stored · 100% free
How it works
- 1
Upload your Excel file
Drop any .xlsx or .xls file. No account required.
- 2
AI-assisted conversion
Our engine reads your data, detects column types, and picks the best chart for each pattern.
- 3
Visualize your graphs
Interactive charts are ready instantly. Explore trends and share insights.
Everything you need, nothing more
No account needed
Upload instantly, zero signup.
Privacy first
Files are never stored on our servers.
Any device
Works on mobile and desktop.
AI-powered
Smart chart selection from your data.
Common use cases
Exploratory data analysis
Before writing a single formula, upload a spreadsheet to see its distributions and trends. A fast visual pass surfaces what is worth investigating and what is just noise.
Spotting outliers & errors
Charts make bad data obvious — a typo'd price or a duplicated row jumps out as a spike no sorted column ever would. Catch mistakes before they reach a report.
Read-only sharing
Share an interactive visualization with people who don't have Excel or shouldn't edit the source. They explore the numbers in a browser while your file stays untouched.
Chart the data before you trust it
Visualisation is usually treated as the last step: analyse first, then draw the picture. Reversing that order catches more problems than any amount of checking formulas.
Plotting a spreadsheet before analysing it makes the shape of the data visible. A duplicated import shows up as a doubled bar. A price typed with the decimal in the wrong place stretches the axis until everything else flattens. A column that stopped being filled halfway through the year leaves a cliff in the series. None of these announce themselves in a cell — all of them are obvious in a chart.
Upload an Excel or CSV file and the columns are read, typed and plotted in seconds, which makes this a cheap first step rather than a final one.
What tidy data means in practice
Almost every visualisation problem traces back to layout rather than content. Three rules cover it.
<strong>One variable per column.</strong> A column holding "Istanbul, 12.500" is two variables stuck together, and neither can be plotted.
<strong>One observation per row.</strong> Wide tables with a column per month are readable for humans and awkward for charts; a long table with a date column and a value column plots directly.
<strong>One header line, at the top.</strong> Merged or two-level headers hide which column a number belongs to.
Subtotal and grand-total rows break all three at once, because they are summaries sitting in the same shape as observations. Remove them before uploading — the chart can compute its own totals, and a total left in the data is read as one more data point.
Excel and CSV, same workflow
Both formats land in the same place. An .xlsx or .xls workbook opens with a tab per sheet; a .csv opens as one table, with the delimiter and encoding detected rather than asked about.
The practical difference is what each format loses. Excel preserves types, so a date stays a date and a number stays a number. CSV is plain text, so everything is inferred from how it was written — which is why a CSV export of the same data can produce different column types than the workbook it came from.
The data table shows the detected type for every column in both cases, which is the fastest way to see whether the export preserved what you assumed it did.
Sharing a view without sharing the file
Not everyone who needs to see the numbers has the software, the licence or the appetite to open a spreadsheet. Exporting the chart as a PNG turns an analysis into something that reads on a phone, in a message, or in a slide deck without an attachment anyone has to install.
When the recipient does need the underlying figures, the CSV and JSON exports sit above the chart — the parsed, normalised version rather than the original file, which is often the cleaner thing to send.
Your file is parsed and returned as data rather than kept in permanent storage, and your file history stays in your own browser. For data under a strict confidentiality obligation, use the software your organisation has approved.
Tips & best practices
Good visualization starts with tidy data: one variable per column, one observation per row, and a single header line describing each column. Wide summary tables with subtotals baked in are hard to chart automatically — a long, flat layout works far better. Keep text labels and numeric values in separate columns rather than mixing units into a cell like "12 kg". If a spreadsheet spans several sheets or tables, visualize them one at a time so each chart has a coherent scale. Remove fully blank rows and columns, which the detector may otherwise read as empty categories. Consistent date formatting across a column lets time-based charts order points correctly.
Ready to visualize your data?
Upload your Excel file and see your data come alive instantly.
Try it free →Frequently asked questions
Q.What does this site do & how can I convert my Excel files to graphs?
This site is a free, instant online tool to view, read, and convert Excel (.xlsx, .xls) files into interactive charts. Simply upload your file in the box above, and our system will automatically analyze your data structure, detect column types, and generate chart recommendations which you can customize and export.
Q.What file types are supported?
.xlsx and .xls files are supported.
Q.What chart types can it generate?
Bar, line, area, pie, scatter, and trend charts — chosen automatically based on your data.
Q.Is it free?
100% free. No signup, no credit card, no limits.
Q.Does it work with both Excel files and CSV?
Yes. .xlsx, .xls and .csv all open in the same view, with multi-sheet workbooks getting a tab per sheet and CSV delimiters detected automatically.
Q.Why does my chart look flat with one huge spike?
Usually a total row or a value with a misplaced decimal. Both are read as ordinary observations. The data table beside the chart shows which row is responsible.
Q.My spreadsheet has a column per month. Will it chart?
It will, but a long layout charts better: one date column and one value column, rather than a column per month. Most spreadsheet tools can transpose this for you.
Q.Can I see the raw rows as well as the chart?
Yes. A data table tab sits beside the charts, showing every row with its detected column types and a search box.
Q.Do I need an account?
No. There is no signup, no email and no payment. Open the page, pick a file, look at the result.
Have a different file type?
Each format has its own dedicated tool built for it.