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JSON Sort – Sort JSON Arrays by Key (Free & Instant)

Sort large JSON arrays by specific keys directly in your browser. This tool handles complex nested structures and multi-field ordering for developers and data analysts.

Last updated: January 2025

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Drag and drop a .json file here

or click to browse

How to Sort JSON Data

  1. Input Data: Paste your JSON into the editor or drag and drop a .json file.
  2. Parse: Click Parse JSON to validate the structure and extract available keys.
  3. Configure: Pick the keys to sort by. Choose Ascending (A-Z, 0-9) or Descending (Z-A, 9-0).
  4. Execute: Click Sort to generate the reordered array.
  5. Export: Copy the result to your clipboard or download it as a new file.

Technical Specifications

Browser-Side Processing

The sort runs in your browser using Array.prototype.sort() with custom comparators. Nothing travels over the network, so there's no latency.

Handling Valid JSON

The input must be a valid JSON array, or an object that contains an array. Invalid JSON returns the exact line and column of the error.

Key Paths

For nested objects, use dot notation (e.g., user.details.age) to reach deep keys.

Usage Instructions

Sort objects inside JSON arrays by one or more keys. Comparisons run locally in your browser and handle numbers and case-insensitive strings correctly. Each detected array gets its own sort rules, including nested sub-arrays.

1. Input JSON Data

Paste your JSON into the editor or upload a .json file via the drop zone. The File API reads content locally. No data is transmitted to a server.

2. Parse and Map Arrays

Click Parse JSON. The tool validates syntax and scans the object tree for arrays. Each array is listed by path (e.g., root.orders[*].items) with its object count.

3. Define Sort Logic

Set the sort parameters for each detected array:

4. Process and Export

Click Sort to run the sort logic on a deep copy of the data.

Practical Applications

API Response Normalization

Standardize unsorted REST API responses. Sort a list of records by id or created_at to spot duplicates or find the newest entries at a glance.

Dataset Diffing

Prep two datasets for comparison. If two JSON exports hold the same data in different orders, a standard diff won't work. Sort both by a shared key like email or sku for a clean, accurate diff.

Nested Object Processing

Handle nested structures in one pass. Sort departments by name while sorting each department's employees array by hire_date. The tool applies your rules across the entire JSON tree.

FAQ

Can I sort by multiple keys?

Yes. Click Add Sort Key to chain criteria. The first key is the primary sort; additional keys resolve ties. Each rule can be ascending or descending.

How are missing keys handled?

Objects missing the sort key are moved to the end of the array. Valid data remains grouped, and the overall structure is preserved.

How does it handle nested arrays?

The parser scans the JSON tree recursively for every array of objects. Each array gets its own configuration block, so parent and child arrays can use different sort rules.

Are numbers and strings handled correctly?

Yes. Numbers compare by value, so 10 follows 9. Strings compare case-insensitively, so Apple and apple rank the same.

Is my data secure?

Yes. Everything happens in your browser. The File API keeps data in local memory. No JSON content is sent to or stored on any server.

Supported JSON Structures

The tool identifies arrays at any depth within valid JSON.

Structure Technical Context Supported
Root-level Array Arrays containing objects at the top level. Yes
Object Properties Objects containing one or more array properties. Yes
Deeply Nested Arrays located multiple levels down the tree. Yes
Primitive Arrays Arrays of strings or numbers (e.g., ["a", "b"]). No*

*Primitive arrays have no object keys to sort by, so they're skipped.

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