Normalize Columns in CSV Files Online

What normalization methods does the CSV normalize tool support?

Min-max normalization (scales all values to 0–1), Z-score standardization (mean of 0, standard deviation of 1), and max-abs normalization (divides by the absolute maximum, preserving sign). Each method can be applied to any numeric column independently.

When should I use min-max vs Z-score normalization on a CSV file?

Use min-max when your downstream model requires values strictly between 0 and 1, such as certain neural networks. Use Z-score (standardisation) when the data has a roughly normal distribution or when you need to compare columns with different units. Z-score is generally preferred for linear models and PCA.

Does normalizing a CSV file change the original values permanently?

No. The tool outputs a new file with the normalised column values. Your original file is never modified. Keep a copy of the original if you need to invert the normalisation later.

Is my data private?

Yes — completely. Your file is never uploaded to any server. Everything runs locally in your browser using WebAssembly — processing happens entirely inside your tab. Once you close the tab, nothing is retained.

What is the maximum file size?

The free limit is 50 MB. For larger files, performance depends on your device's available memory — most modern machines handle 500 MB to 1 GB comfortably.