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Online Normalize Generators

Paste numeric data (one or multiple columns) and generate a normalized dataset using min‑max scaling, z‑score standardization, L1/L2 unit normalization, or decimal scaling. Everything runs in your browser.

Category: Data · URL: /tools/online-normalize-generators.html
Tip: Auto delimiter detects comma, tab, semicolon, or whitespace from the first non-empty line.
If a column has constant values (max = min, or std = 0), results are set to 0 (or a for [a,b]).
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Related tools: JSON Pretty Print Formatter · Online CSV Converter · CSV Formatter · CSV Duplicate Checker · Online SQL Converter · Validate XML Against XSD
Privacy: runs locally in your browser. No uploads, no tracking scripts.

How to use

Use this tool to normalize numeric datasets in-place.

  1. Paste your data into the input (CSV/TSV/semicolon/space-separated).
  2. Pick a method (Min‑Max, Z‑Score, L1, L2, Decimal Scaling) and choose column-wise or global scope.
  3. Optional: mark the first row as a header; choose delimiter settings; set output decimals.
  4. Click Normalize, then copy the output.
Keywords this page targets (natural cluster): online normalize generators, min max normalization online, normalize to 0 1 generator, normalize to range a b, z score normalization tool, standardize data online, feature scaling online, l2 normalization online, l1 normalization calculator, unit vector normalization tool, decimal scaling normalization, normalize csv columns online, normalize tsv data online, normalize matrix online, column wise normalization, global normalization dataset, normalize numbers for machine learning, data normalization generator, scale columns to 0 1, normalize values without excel
Secondary intents covered: Scale features to 0–1 before training a model, Standardize columns (z-scores) to compare different units, Normalize vectors to unit length (L1 or L2) for similarity tasks, Normalize multi-column CSV/TSV data without uploading files, Keep headers and non-numeric columns while scaling numeric fields, Generate a clean, normalized dataset ready to paste into Excel/Sheets, Quickly verify min/max/mean/std per column after normalization, Handle empty cells safely (error or ignore blanks)

FAQ

What normalization methods are included?

Min‑Max (to [0,1] or [a,b]), Z‑Score standardization, L1/L2 unit normalization, and decimal scaling.

Does it normalize each column separately?

Yes by default (column-wise). You can switch to global normalization to scale across all numeric cells.

Can I keep headers and text columns?

Enable “First row is header” to preserve the first line, and keep “Keep non-numeric columns” on to leave text columns unchanged.

How are empty cells handled?

If “Ignore empty cells” is enabled, blanks stay blank and are excluded from stats. If disabled, blanks raise an error.

What happens if a column has the same value everywhere?

When the denominator is zero (max=min or std=0), the tool outputs 0 for that column (or a for the [a,b] range).

Is my data uploaded to a server?

No. The normalization runs client-side in your browser and the tool does not make network requests.

What delimiter formats work?

Auto detects comma, tab, semicolon, or whitespace. You can also force an input delimiter and choose a different output delimiter.