Analyze CSV

Analyze CSV gives you quick insights into any CSV file. Instantly see row counts, column stats, unique values, and empty cells with toggles for case sensitivity and trimming all in your browser.

Paste your input above or import a file below.
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Supported file types: .txt, .csv, .tsv, .log, .json, .xml, .md, .ini, .yaml, .yml, .html, .htm, .css
Total characters: 0
Options
Trim spaces
Case-insensitive counts

How to Use:

  • Paste your CSV data into the “Input CSV” box or click “Choose File” to upload a local file
  • Supported file types: .txt, .csv, .tsv, .log, .json, .xml, .md, .ini, .yaml, .yml, .html, .htm, .css
  • Toggle Trim spaces to remove extra spaces from each cell before analyzing
  • Toggle Case-insensitive counts to treat values like “Alice” and “alice” as the same
  • The tool immediately updates the analysis and flashes the output box to show changes
  • You’ll see total rows (excluding the header), column count, and per-column details:
    • Number of unique values in that column
    • Count of empty/missing values
  • Click “Analyze” to manually reprocess the current input
  • Use “Copy Output” to copy the full summary to your clipboard
  • Use “Export to File” to download the result as a .txt file
  • Click “Clear All” to reset input, output, options, and file import state

What Analyze CSV can do:

Analyze CSV helps you quickly break down your dataset. Whether you’re scanning for duplicates, checking for blank fields, or trying to understand value diversity in each column, this tool gives you a fast summary without needing a spreadsheet. It works live, offline, and with toggleable options to control how your data is interpreted.

Example:

Input:

name,age,email
Alice,30,[email protected]
Bob,25,[email protected]
Carol,28,[email protected]
Bob,25,[email protected]

Output:

Total rows (excluding header): 4
Total columns: 3

Column 1: name
  Unique values: 3
  Empty cells: 0

Column 2: age
  Unique values: 3
  Empty cells: 0

Column 3: email
  Unique values: 3
  Empty cells: 0

Common Use Cases:

Use Analyze CSV to validate exports, check for duplicates, or find missing data before importing into databases or spreadsheets. It’s especially useful when reviewing large files or when you need a quick summary without opening Excel or writing a script.

Useful Tools & Suggestions:

Before digging into the stats, run Validate CSV to make sure the structure won’t throw off your analysis. And after you’ve reviewed the breakdown, Trim CSV Columns can clean up stray spaces that might skew the data.

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