# Array Flattener

Flatten multidimensional arrays into one-dimensional arrays with customizable depth

> Canonical page: https://elysiatools.com/en/tools/array-flattener

- **Category:** Data Processing

- **Keywords:** array, flatten, multidimensional, nested, transform, Array Flattener

## Overview

The Array Flattener is a powerful utility designed to simplify complex, nested data structures by converting multidimensional arrays into a clean, one-dimensional format with customizable depth control.

## Inputs

- **Array Input** (textarea): Enter your multidimensional array...
- **Input Format** (select)
- **Flatten Depth** (number): Enter depth (1 for single level, Infinity for complete)
- **Output Format** (select)
- **Remove Null/Undefined Values** (checkbox)
- **Remove Duplicates** (checkbox)
- **Sort Results** (select)

## When to use

- When you need to extract values from deeply nested JSON or JavaScript objects for easier data processing.
- When preparing data for flat-file formats like CSV where nested structures are not supported.
- When cleaning up datasets by removing duplicate entries or null values during the flattening process.

## How it works

- Paste your multidimensional array into the input field and select the corresponding input format.
- Set the 'Flatten Depth' to determine how many levels of nesting should be collapsed.
- Apply optional filters like 'Remove Duplicates' or 'Sort Results' to refine your output.
- Choose your preferred output format, such as JSON, CSV, or line-by-line text, and generate the result.

## Use cases

- Transforming nested API responses into a flat list for easier mapping in frontend applications.
- Consolidating multi-level category trees into a single list for database imports.
- Cleaning and normalizing messy data exports by removing duplicates and nulls in one step.

## Frequently asked questions

### What does the 'Flatten Depth' setting do?

It controls how many levels of nested arrays are collapsed. A depth of 1 flattens only the first level, while higher values reach deeper into the structure.

### Can I remove empty values while flattening?

Yes, simply enable the 'Remove Null/Undefined Values' checkbox to automatically filter out empty entries from your final array.

### Does this tool support CSV input?

Yes, you can select CSV as your input format to parse and flatten comma-separated data structures.

### Is there a limit to how deep I can flatten?

You can set the depth between 1 and 10, or choose to flatten completely to a single dimension.

### Can I sort the final array?

Yes, the tool includes a 'Sort Results' option that allows you to order your flattened data in either ascending or descending order.

## Related tools

- [Array Deduplicator](https://elysiatools.com/en/tools/array-deduplicator): Remove duplicate elements from arrays with various deduplication methods
- [Array Filter](https://elysiatools.com/en/tools/array-filter): Filter out elements of specific types from arrays (remove numbers, strings, booleans, etc.)
- [Z-Score Standardizer](https://elysiatools.com/en/tools/data-zscore-normalizer): Standardize numerical data using Z-score (standard score) normalization to transform values with mean=0 and standard deviation=1. Perfect for statistical analysis, machine learning feature preprocessing, outlier detection, and data comparison across different scales. Features: - Z-score standardization (mean=0, std=1) - Robust Z-score option (using median and MAD) - Custom scaling to target range - Multiple column selection - Automatic data type detection - Handles missing values intelligently - Preserves non-numeric columns - Comprehensive statistical summary - Outlier detection and reporting Common Use Cases: - Machine learning feature preparation - Statistical hypothesis testing - Outlier detection and removal - Data comparison across different units - Principal Component Analysis (PCA) preprocessing
- [Difference Arrays](https://elysiatools.com/en/tools/difference-arrays): Remove values from array that are present in other arrays using lodash _.difference
- [JSON Key Extractor](https://elysiatools.com/en/tools/json-key-extractor): Extract all keys from JSON objects with multiple output formats. Perfect for analyzing JSON structure, documentation generation, and understanding complex nested objects.
- [Uniq By](https://elysiatools.com/en/tools/uniq-by): Remove duplicates from an array using lodash _.uniqBy with a property path
- [Array Element Deleter](https://elysiatools.com/en/tools/array-element-deleter): Delete specific elements from arrays with support for multiple deletion methods
- [HTML to Markdown Converter](https://elysiatools.com/en/tools/html-to-markdown): Convert HTML content to Markdown format with customizable options using Turndown

## Samples

- [Web Image Processing Python Samples](https://elysiatools.com/en/samples/web-image-processing-python): Web Python image processing examples using PIL/Pillow including reading, saving, resizing, and format conversion
- [Duplicate Line Samples](https://elysiatools.com/en/samples/text-duplicate-line-samples): Sample files with various types of duplicate lines for testing duplicate removal tools
- [Special Characters Samples](https://elysiatools.com/en/samples/text-special-characters-samples): Sample text files with various special characters, punctuation, and symbols for testing non-alphanumeric character removal
- [Code Comment Samples](https://elysiatools.com/en/samples/code-comment-samples): Sample code files with various comment styles for testing comment removal

## Related content

- [Array and List Data Organization Tools](https://elysiatools.com/en/hubs/array-and-list-manipulation-tools): Inspect, clean, filter, deduplicate, reshape, slice, and order arrays or lists for downstream data use.