JSON Array Splitter
Split large JSON arrays into smaller, manageable chunks for batch processing or file size management.
Choose from multiple splitting strategies and download chunks individually or as a ZIP file.
Key Features
✂️
Multiple Split Strategies
Split by item count, file size, or field values. Choose the strategy that best fits your data processing needs.
👁️
Preview Before Split
See exactly how your data will be split with detailed statistics and chunk previews before processing.
📦
Bulk Download
Download all chunks as individual files or package them together in a convenient ZIP archive.
📊
Detailed Statistics
Get comprehensive statistics about your data including total items, chunk counts, and file sizes.
⚡
High Performance
Memory-efficient processing handles large arrays smoothly with progress tracking and optimization.
🔒
Privacy First
All processing happens locally in your browser. No data is sent to servers, ensuring complete privacy.
📚 JSON Array Splitter Quick Guide
What it does
The JSON Array Splitter divides large JSON arrays into smaller, manageable chunks for batch processing, file size management, or parallel processing. Perfect for handling large datasets that exceed memory limits or API restrictions.
Quick Start
- Paste or load your JSON array data
- Choose splitting strategy: by count, file size, or field value
- Configure chunk size or criteria
- Click "Preview Split" to see the results
- Click "Split Array" and download chunks individually or as ZIP
Best for
- Breaking large datasets into batch processing chunks
- Reducing file sizes for API upload limits
- Organizing data by categories or field values
- Creating parallel processing workflows
- Managing memory usage with large JSON files
🎯 Step-by-Step Tutorial
Step 1: Load Your Data
Click "📋 Load Sample" to try with test data, or paste your own JSON array. The tool works with any valid JSON array structure.
[{"id": 1, "name": "Item 1"}, {"id": 2, "name": "Item 2"}]
Step 2: Choose Split Strategy
Select how to split your array:
- By Item Count: Split into chunks of N items each
- By File Size: Keep each chunk under a size limit
- By Field Value: Group items by a specific field
Step 3: Preview the Split
Click "👁️ Preview Split" to see how your data will be divided. Review the statistics and chunk details before proceeding.
Step 4: Split and Download
Click "✂️ Split Array" to process. Download individual chunks or use "📦 Download All as ZIP" for bulk download.
💼 Real-World Use Cases
📊 Batch Data Processing
Scenario: You have a 50,000-record dataset that needs to be processed in batches of 1,000 records each to avoid memory issues.
Solution: Use "By Item Count" strategy with 1,000 items per chunk. This creates 50 manageable files for sequential processing.
Result: Efficient batch processing with controlled memory usage and progress tracking.
📤 API Upload Limits
Scenario: Your API has a 5MB upload limit, but your JSON file is 20MB with product data that needs to be uploaded.
Solution: Use "By File Size" strategy with 4MB limit to ensure each chunk fits within API constraints with some buffer.
Result: Multiple smaller files that can be uploaded sequentially without API errors.
🗂️ Data Organization by Category
Scenario: You have a mixed dataset with products from different categories that need to be separated for different processing workflows.
Solution: Use "By Field Value" strategy with "category" field to automatically separate products into category-specific files.
Result: Organized data files grouped by category, ready for specialized processing pipelines.
❓ Frequently Asked Questions
What's the difference between splitting strategies?
By Count: Creates equal-sized chunks with fixed number of items. By Size: Ensures each chunk stays under file size limit. By Field: Groups items that share the same field value.
How large arrays can I split?
The tool can handle arrays with thousands of items. For very large files (>50MB), performance may vary based on your device's memory. The tool uses memory-efficient processing to handle large datasets.
Can I customize the file names?
Yes! Use the "File Name Prefix" field to set a custom prefix for all chunks. The tool automatically adds numbers or field values to create unique names (e.g., "mydata_1.json", "mydata_2.json").
What happens to the original order of items?
By default, the "Preserve original order" option maintains the sequence of items from your original array. Uncheck this if order doesn't matter for your use case.
Can I preview individual chunks before downloading?
Yes! Each chunk has a preview button (👁️) that opens the chunk content in a new window. This lets you verify the data before downloading individual files or the ZIP archive.