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Flatten Array

Flatten array one level deep using lodash _.flatten

Flatten an array one level deep (nesting flattened to a single level).

Features:

  • Accepts nested JSON arrays of any depth
  • Flattens only one level of nesting
  • Preserves deeper nested structures
  • Handles arrays with mixed data types
  • Uses lodash _.flatten for reliable array processing

Examples:

  • Input: [1, [2, [3]], 4] → Output: [1, 2, [3], 4]
  • Input: [["a", "b"], ["c", "d"]] → Output: ["a", "b", "c", "d"]
  • Input: [1, [2, [3, [4]]], 5] → Output: [1, 2, [3, [4]], 5]

Use Cases:

  • Data Preprocessing: Reduce one level of nesting in structured data
  • Array Normalization: Simplify nested array structures
  • Batch Processing: Prepare nested data for processing
  • Data Transformation: Convert nested arrays to simpler structures

Enter a valid JSON array with nested elements

Key Facts

Category
Data Processing
Input Types
textarea
Output Type
text
Sample Coverage
4
API Ready
Yes

Overview

The Flatten Array tool uses lodash's _.flatten function to reduce one level of nesting in JSON arrays, simplifying data structures for easier processing and analysis.

When to Use

  • •When you need to reduce one level of nesting in JSON arrays from APIs or databases.
  • •For normalizing nested array structures before data analysis or transformation.
  • •To prepare nested data for batch processing or further computational tasks.

How It Works

  • •Input a valid JSON array into the text area provided.
  • •The tool processes the array using the lodash _.flatten function.
  • •It returns a new array with one level of nesting removed.
  • •Deeper nested structures are preserved as-is in the output.

Use Cases

Simplifying nested API responses for frontend development.
Preprocessing data for machine learning or statistical analysis.
Normalizing array structures in data pipelines or ETL workflows.

Examples

1. Flattening API Response Data

Web Developer
Background
A developer receives a nested JSON array from a REST API containing user roles and permissions.
Problem
The nested structure complicates direct iteration over permission objects in the frontend code.
How to Use
Copy the permissions array from the API response and paste it into the tool's input field.
Outcome
The array is flattened one level, enabling straightforward looping and rendering of permissions.

2. Normalizing Survey Data

Data Analyst
Background
Survey responses are stored in a nested array format with categories and sub-answers for analysis.
Problem
Statistical software requires flat arrays to perform calculations and generate reports.
How to Use
Input the nested survey array into the tool to reduce its nesting.
Outcome
The responses are flattened, making them compatible with analysis tools like Excel or Python libraries.

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FAQ

What does flattening an array mean?

Flattening reduces the nesting level of an array by one, converting nested arrays into a single-level array where possible.

Can this tool handle arrays with mixed data types?

Yes, it processes arrays containing numbers, strings, objects, and other arrays without issues.

Does it flatten all levels of nesting?

No, it only flattens one level deep; deeper nested elements remain unchanged.

Is the original array modified?

No, the tool returns a new array, leaving the input array untouched.

What library is used for flattening?

It relies on the lodash library's _.flatten function for consistent and reliable array processing.

API Documentation

Request Endpoint

POST /en/api/tools/flatten-array

Request Parameters

Parameter Name Type Required Description
array textarea Yes Enter a valid JSON array with nested elements

Response Format

{
  "result": "Processed text content",
  "error": "Error message (optional)",
  "message": "Notification message (optional)",
  "metadata": {
    "key": "value"
  }
}
Text: Text

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-flatten-array": {
      "name": "flatten-array",
      "description": "Flatten array one level deep using lodash _.flatten",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=flatten-array",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]