Normalize Columns in JSON Files Online
Normalize numeric columns in JSON files using min-max scaling (0–1) or z-score standardisation (mean=0, std=1). Adds new columns alongside the originals — no upload required.
About this tool
Normalize or standardize numeric columns in a JSON file using min-max scaling (0–1 range), Z-score standardization (mean 0, std 1), or max-abs normalization. Essential before feeding data into machine learning models that are sensitive to feature scale. Runs entirely in your browser — your data never leaves your device.
Frequently Asked Questions
What normalization methods does the JSON 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 JSON 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 JSON 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.
Related Tools
Bin Column in JSON Files Online
Bucket a numeric column in JSON files into labelled ranges — equal-width bins or custom edges. Runs entirely in your browser.
Add Calculated Column to JSON Files Online
Add a new column to JSON files computed from an arithmetic expression over existing columns. No formulas, no code — just point and click.
Extract JSON Column from JSON Files Online
Extract values from a JSON-encoded column in JSON files into a new flat column using a JSON path expression. Runs in your browser.
Calculate Date Difference in JSON Files Online
Calculate the difference between two date or timestamp columns in JSON files directly in your browser. Output in days, months, years, hours, minutes, or seconds — no upload required.
Normalize Columns in CSV Files Online
Normalize numeric columns in CSV files using min-max scaling (0–1) or z-score standardisation (mean=0, std=1). Adds new columns alongside the originals — no upload required.