# Uniq With

Remove duplicates using lodash _.uniqWith and deep equality

> Canonical page: https://elysiatools.com/en/tools/uniq-with

- **Category:** Data Processing

- **Keywords:** array, unique, deep, compare, lodash

## Overview

Remove duplicates using a deep equality comparator.

**Highlights:**
- Uses lodash `_.uniqWith`
- Compares items with `_.isEqual`
- Useful for arrays of objects

**Example:**
- Array: `[{"id": 1}, {"id": 1}, {"id": 2}]`
- Result: `[{"id": 1}, {"id": 2}]`

## Inputs

- **Array** (textarea): Enter a JSON array

## When to use

- When you need to clean up arrays of objects that contain identical data structures.
- When standard unique filters fail because they only compare object references rather than content.
- When you want to ensure data integrity by removing redundant records from a JSON dataset.

## How it works

- Paste your JSON array into the input field.
- The tool utilizes the lodash _.uniqWith function to iterate through your data.
- It applies _.isEqual to perform a deep comparison of every object property.
- The tool returns a cleaned array containing only unique, non-redundant objects.

## Use cases

- Cleaning API response data that contains duplicate user or product records.
- Merging multiple data sources into a single, unique list of configuration objects.
- Preparing clean datasets for frontend state management or data visualization.

## Frequently asked questions

### What makes this different from a standard unique filter?

Standard filters often compare object references. This tool uses deep equality, meaning it compares the actual values inside the objects.

### Does this tool support nested objects?

Yes, because it uses lodash's deep equality check, it can accurately identify duplicates even within nested structures.

### What format should my input be in?

The input must be a valid JSON array of objects or values.

### Is the comparison case-sensitive?

Yes, the deep equality check treats strings with different casing as distinct values.

### Can I use this for large datasets?

It is highly efficient for most standard web-based data tasks, though performance may vary depending on the complexity and size of the objects.

## Related tools

- [Remove By Predicate](https://elysiatools.com/en/tools/remove-by-predicate): Remove items that match a predicate using lodash _.remove
- [Compact Array](https://elysiatools.com/en/tools/compact-array): Remove falsey values from array using lodash _.compact
- [Drop Items](https://elysiatools.com/en/tools/drop-items): Drop first N items from array using lodash _.drop
- [Drop Right Items](https://elysiatools.com/en/tools/drop-right-items): Drop last N items from array using lodash _.dropRight
- [Pull Values](https://elysiatools.com/en/tools/pull-values): Remove specific values from an array using lodash _.pull
- [Sorted Unique](https://elysiatools.com/en/tools/sorted-unique): Remove duplicates from a sorted array using lodash _.sortedUniq
- [Sorted Unique By](https://elysiatools.com/en/tools/sorted-unique-by): Remove duplicates from a sorted array using lodash _.sortedUniqBy
- [Uniq Array](https://elysiatools.com/en/tools/uniq-array): Remove duplicates from an array using lodash _.uniq

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