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Convert CSV into Charts by Asking in Plain English
Convert a CSV or Excel file into charts and tables by asking questions in plain English. Charts are built from the SQL query result, and the query is shown with each one.

Turn a wall of raw CSV rows into a clear chart — no formulas, no chart wizard. Ask in plain English, and the chart is generated from the actual SQL query result, with the query shown underneath.
Staring at thousands of rows of a CSV export and trying to picture the trend hiding inside them is exhausting. You know the story is in there — which product sold best, which month dipped, where the outliers are — but the numbers refuse to speak. AskCSV lets you convert CSV into charts by asking a question in plain English.
Why convert CSV into charts at all?
A table answers "what is the value?" A chart answers "what is happening?" Patterns that were invisible in a grid jump out: a seasonal spike, a slow decline, a category that quietly dominates. Instead of scrolling and squinting, you get a picture your whole team can read at a glance.
The problem with most charting tools is that they ask you to do the work first: pick the columns, choose the chart type, wrestle with pivot tables. AskCSV flips that. You describe what you want to see, and the tool works out the calculation and a sensible visualization for it.
How it works
- Open your CSV. Drag a file onto the page or paste delimited data. It is read in your browser and kept in this site's storage for your account or guest session; the file is not uploaded.
- Ask in plain English. Type something like "show monthly revenue as a bar chart" or "compare sales by region."
- The AI writes the query. It reads the names and types of the columns you chose to share and proposes a read-only
SELECTfor your question. - The query runs over the whole file. DuckDB executes it in your browser, so a bar for a region is the aggregated value across the matching rows, not a sample.
- Refine and share. Ask a follow-up ("now break it down by product") or request a different chart type, then use the result in your report.
Every chart shows the SQL that produced it, so a surprising number can be checked rather than trusted. How large a file can be handled depends on the browser and device.
What you can ask
You do not need to know your column names by heart or speak SQL. Natural questions work best:
- "Which five items generated the most revenue?"
- "Plot signups over time as a line chart."
- "What's the average order value by month?"
- "Show me the share of sales per category as a pie chart."
- "What does the distribution of order amounts look like?"
Each question turns raw rows into a finished visualization, and you can keep the conversation going to drill deeper.
Why this is more trustworthy than a prose answer
A chart is only as good as the number behind it. AskCSV separates the two jobs:
- The calculation is code. Totals, counts, shares, and trends are computed deterministically from the query result.
- The query is visible. The generated SQL is shown with the chart, so you can see the measure, filters, and grouping it used.
- The AI explains. Its role is to describe what the result shows, not to produce the figures.
AI answers can still be wrong — usually because the query answers a slightly different question than the one you meant. The visible SQL is how you catch that.
Limits and data handling
| Plan | Credits | Also included |
|---|---|---|
| Guest, no sign-in | $0.25, one time (about 5 answers) | Try it with no account |
| Signed in with Google | $5/month subscription with $5 of usage included (about 100 answers) | Cancel anytime |
| Extra credits (subscribers) | From $10 (about 200 answers) | Last 12 months after your last purchase; usable after the subscription ends |
Only AI answers use credits, charged for the tokens the AI reads and writes, so a request refused before the AI runs costs nothing. Guest credits expire 7 days after they are issued; files and chats stay in this browser until you delete them or clear the site's data. AskCSV keeps what the AI sees to a minimum: to write the SQL and explain the result, the AI provider (OpenAI) gets only your question, the file's name and row count, the columns you chose to share with up to 10 sample rows, up to 100 rows of each query result plus summary figures, and the earlier messages in the chat. AskCSV analyzes opened files only, and the privacy policy lists the sub-processors involved.
From raw rows to real insight
Charts are not just prettier tables; they are how decisions get made faster. A manager who sees a downward line reacts differently than one skimming a column of numbers. By making it effortless to convert CSV into charts, AskCSV shortens the distance between "I have the data" and "I know what it's telling me."
Head to the app, open a CSV you are authorized to analyze, and ask for the chart you have in mind.
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