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Data Processing

Array Flattener

· Last updated：2025-10-10

Flatten multidimensional arrays into one-dimensional arrays with customizable depth

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Written by the Elysia Tools team
Data Processing130
Array60
Depth23

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category
Data Processing
Input types
textarea, select, number, checkbox
Output type
text
Sample coverage
4
API ready
Yes

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.

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

  1. 1Paste your multidimensional array into the input field and select the corresponding input format.
  2. 2Set the 'Flatten Depth' to determine how many levels of nesting should be collapsed.
  3. 3Apply optional filters like 'Remove Duplicates' or 'Sort Results' to refine your output.
  4. 4Choose 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.

Examples

1. Flattening Nested JSON API Data

Frontend Developer

Background

An API returned a deeply nested array of user IDs categorized by department, making it difficult to map to a simple dropdown menu.

Problem

Need to extract all user IDs into a single, sorted, one-dimensional array.

How to use

Paste the JSON array, set 'Flatten Depth' to 3, enable 'Remove Duplicates', and set 'Sort Results' to 'Ascending'.

depth: 3, removeDuplicates: true, sortBy: 'ascending', outputFormat: 'json'

Outcome

A clean, unique, and sorted list of all user IDs ready for immediate use in the UI.

2. Converting Multi-Level CSV to Flat List

Data Analyst

Background

A legacy system export provided data in a nested CSV format that caused errors in spreadsheet software.

Problem

The data needs to be flattened into a single column to be compatible with standard data analysis tools.

How to use

Select 'CSV Format' as input, set 'Flatten Depth' to 1, and choose 'Line by Line' as the output format.

FAQ

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.

Hub

Array and List Data Organization Tools

Inspect, clean, filter, deduplicate, reshape, slice, and order arrays or lists for downstream data use.

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