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Upload any spreadsheet. Ask questions. AI builds charts, finds patterns, and delivers insights — no SQL, no Python, no waiting for the data team.
No credit card required. 3 free analyses per day.
Not ready to sign up? Try the free CSV analyzer — no account needed
Files are read in your browser — nothing is uploaded.
NoCodeCSV answers questions about your data, creates charts, cleans messy files, and summarizes large datasets — in plain English, with no learning curve.
Upload your CSV or Excel file, type a question in plain English, and the AI generates charts, finds patterns, and summarizes the results — no SQL, Python, or formulas needed.
Drag your CSV, Excel, or TSV file. Works with files up to 25MB.
Type any question — "Summarize sales by region", "Find outliers in column B".
AI analyzes, computes, and visualizes. Download chart + answer as PNG or CSV.
NoCodeCSV is a free AI-powered tool that lets you chat with your CSV and Excel files. Upload a spreadsheet, ask questions in plain English, and get instant charts, patterns, and summaries — no SQL, Python, or coding required.
Yes. NoCodeCSV offers a free tier with 3 analyses per day. A Pro plan at $15/month unlocks unlimited analyses and advanced features.
Upload your CSV file to the free analyzer, then type questions about your data in plain English. The AI generates charts, finds patterns, and summarizes the results for you.
No. NoCodeCSV is designed for non-technical users. You ask questions in natural language and the AI handles the analysis, charting, and data exploration for you.
NoCodeCSV supports CSV and Excel (.xlsx) files. You can upload, analyze, and export your data entirely in the browser.
Files are parsed in your browser and analysis is processed per request without being stored. NoCodeCSV does not keep your uploaded data on its servers.
An AI CSV tool does three things: it parses your file, it computes over the columns, and it puts the answer in a sentence. Parsing and computing happen in your browser. Only the question and the data the answer needs are sent to a model — and you can skip that step entirely if you only want counts, null rates or duplicates.
“What is in this file?”
Column names, types, row count, null rate per column, duplicate rows, min and max. This needs no model at all — it is arithmetic on the parsed file.
“Which rows matter?”
Filtering and grouping. The model’s only job is translating your sentence into a group-by you could have written yourself.
“Is this data trustworthy?”
Missing values, mixed types in one column, dates stored as text, trailing whitespace in keys. This is where a spreadsheet silently lies to you.
“Explain it to someone else.”
The one genuinely AI-shaped task: turning an aggregate into a paragraph a colleague can act on, with the numbers still attached.
| Route | You need | Fails when |
|---|---|---|
| Spreadsheet + formulas | The column names to already be clean | Any column is text that should be a number, or the file is larger than the row limit |
| Pivot table | Knowing which two columns to cross | You do not yet know what you are looking for — which is the usual case |
| Script (pandas / R) | The ability to write and debug it | You need the answer once, today |
| Ask in plain English | Nothing — type the question | The file has no header row, or one column mixes units (kg and lb in the same column) |
None of these is the right answer for everything. The plain-English route is the fastest way to find out which of the other three you actually needed.
Both are free and neither needs a model: open the CSV analyzer and the profile is the first thing it shows. If your file is a European export that came in as a single column, the delimiter converter fixes that before analysis. And if it is simply too large to open, split it first.
Your first 3 analyses are free. No credit card required.