Loading...
Loading...
No signup, no email, no credit card. 2 free analyses a day in the browser. Nothing is stored after your question is answered.
"Show me total sales by product category""What's the average order value by month?""Find the top 10 customers by revenue""Which region had the highest growth in Q3?""Are there any outliers in the pricing column?"“Chat with CSV” is not a chatbot that has memorised your file. It is three mechanical steps, and knowing them tells you exactly what you can and cannot ask:
That is the whole trick — and it is why a plain-English question works at all. It is also why the quality of your header row decides the quality of the answer.
There is no single best method. Each one trades setup effort against repeatability:
| Approach | You need to know | Best when | Weakest at |
|---|---|---|---|
| Sorting and filtering by hand in Excel | Nothing | One-off look at a small file | Repeating it next month |
| Formulas (SUMIF, COUNTIF, XLOOKUP) | Function syntax | The same question every month | Questions you did not anticipate |
| Pivot tables | Field dragging, grouping | Cross-tabs and totals | Ad-hoc wording of a question |
| Asking an AI assistant in plain English | Nothing beyond the question | Exploring a file you have never seen | Anything that must be reproducible to the cent |
In practice most people do both: ask the AI to find the pattern, then rebuild the two figures that matter as formulas so they stay reproducible.
The CSV format is not one format. RFC 4180 defines commas as the separator and requires any field containing a comma, quote or line break to be wrapped in double quotes — which is why a file with unescaped commas in a text column can shift every row by one column. Two other failures are just as common:
Fix the delimiter before analysing: our free delimiter converter detects the separator and rewrites the file in your browser, and if the result is still too big to open, the CSV splitter cuts it into parts that keep the header row.
A CSV (comma-separated values) file stores tabular data — like a spreadsheet — as plain text, with each row on its own line and values separated by commas. It is the most common format for exporting data from databases, payment platforms, and business tools.
Upload your CSV file to a free AI analyzer like NoCodeCSV, then ask questions in plain English — for example, "what are total sales by region?". The AI computes the answer and generates charts, no SQL or Python required.
Yes — NoCodeCSV accepts CSV files up to 25MB, covering tens of thousands of rows. Files are processed and discarded, so your data stays private.
Only after the file is fixed. Semicolon exports (common in much of Europe) parse as a single column, so convert the delimiter first with our free delimiter converter, then analyse. The same applies to files with a byte-order mark glued to the first header.
The file is parsed in your browser. The analysis step sends the parsed text to the model for that request and does not store it afterwards — no database of your data is kept.
Yes — .xlsx and .csv are both accepted, up to 25MB. If a file is too large to open comfortably, split it into parts that keep the header row, then analyse each part.
Two analyses a day with no account at all — no email, no credit card, and nothing stored after your question is answered. A free account adds a third daily analysis, saved history and exports; the Pro tier removes the daily cap.
First 3 analyses are free. No credit card required.