Convert CSV to Excel

Convert CSV to Excel in seconds with this free online CSV to Excel converter

Accepts csv


CSV (Comma Separated Values) files are the most common format for storing tabular data. Values in a row are separated by commas and rows are separated by newlines.

CSQ files often start with a header row that has column names, but this is not required.

Each row in a CSV file must have the same number of values as the header row.

CSV files do no enforce types or a schema. This means that each column can have multiple types, which can make analysis difficult and compression inefficient.

Parquet files can be easier to analyze and compress better than CSV files.


XLSX is a format used by Microsoft Excel to store tabular data in spreadsheets.

XLSX files store multiple sheets, where each sheet can contain one or more tables of data.

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How to Convert CSV to Excel

Viewing converted data
  1. Select your input CSV file
  2. Your CSV file will be converted to Excel
  3. Download your Excel file
  4. Click the View button to view your file

How to Convert CSV to Excel in Python using Pandas

First, we need to install pandas

pip install pandas

Then we can load the CSV file into a dataframe

df = pd.read_csv('path/to/file.csv')

Finally, we can export the dataframe to the Excel format

df.to_excel('path/to/file.xlsx', index=False)