Categories

CSV Splitter

Split CSV content by specified number of rows per file. Perfect for processing large datasets, dividing data for analysis, batch processing, and managing file size limits. Features: - Split CSV by row count - Support multiple output formats - Preserve header row in each split - Flexible output format options - Support for large datasets - Fast and efficient processing Common Use Cases: - Split large CSV files for processing - Divide data for parallel processing - Create manageable data chunks - Export data in different formats - Prepare data for batch operations - Manage file size limitations

Maximum number of data rows in each split file (excluding headers)

Add header row to each split file

Key Facts

Category
Data Processing
Input Types
textarea, number, checkbox, select
Output Type
text
Sample Coverage
4
API Ready
Yes

Overview

The CSV Splitter is a high-performance utility designed to break down large CSV datasets into smaller, manageable chunks based on a specific row count. It allows you to maintain data integrity by preserving header rows across all segments and offers flexible output formats including JSON, Markdown, and plain tables to suit your specific workflow requirements.

When to Use

  • When you need to bypass file size limitations for uploads or email attachments.
  • When preparing large datasets for parallel processing or batch operations.
  • When you need to extract specific segments of data from a massive CSV file for easier analysis.

How It Works

  • Paste your CSV content into the input area.
  • Specify the maximum number of rows you want in each resulting file.
  • Choose whether to include the header row in every split segment.
  • Select your preferred output format and generate the segmented data.

Use Cases

Dividing massive customer databases into smaller batches for email marketing campaigns.
Splitting log files to meet the import requirements of specific database management systems.
Converting large CSV datasets into JSON format for easier integration with web applications.

Examples

1. Batch Processing Large Sales Logs

Data Analyst
Background
An analyst has a 50,000-row sales log that exceeds the import limit of their reporting software.
Problem
The file is too large to import in one go, causing system timeouts.
How to Use
Paste the CSV content, set 'Rows Per File' to 5,000, and ensure 'Include Header Row' is checked.
Example Config
rowsPerFile: 5000, includeHeader: true, outputFormat: 'csv'
Outcome
The tool generates 10 smaller CSV files, each with the original header, allowing for successful batch imports.

2. Converting Data for Web Integration

Web Developer
Background
A developer needs to display a large product list on a website but needs the data in JSON format.
Problem
The source data is in CSV format and is too large to convert manually.
How to Use
Paste the CSV data, set the output format to 'JSON', and process the file.
Example Config
outputFormat: 'json'
Outcome
The tool outputs the data as a clean JSON array, ready to be used in the website's frontend code.

Try with Samples

csv, text

Related Hubs

FAQ

Can I keep the header row in every split file?

Yes, by enabling the 'Include Header Row' option, the tool will automatically prepend the original header to every generated segment.

What is the maximum number of rows I can process?

The tool supports up to 100,000 rows per file, making it suitable for most standard data processing tasks.

Does this tool support formats other than CSV?

Yes, you can convert your split data into JSON, Markdown tables, or plain text tables directly through the output format settings.

Is my data uploaded to a server?

This tool processes your data locally in your browser, ensuring your sensitive information remains private and secure.

What happens if my CSV has fewer rows than the split limit?

If your total row count is less than the specified limit, the tool will return the data as a single file without splitting it.

API Documentation

Request Endpoint

POST /en/api/tools/csv-splitter

Request Parameters

Parameter Name Type Required Description
csvContent textarea Yes -
rowsPerFile number Yes Maximum number of data rows in each split file (excluding headers)
includeHeader checkbox No Add header row to each split file
outputFormat select Yes -

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-csv-splitter": {
      "name": "csv-splitter",
      "description": "Split CSV content by specified number of rows per file. Perfect for processing large datasets, dividing data for analysis, batch processing, and managing file size limits.

Features:
- Split CSV by row count
- Support multiple output formats
- Preserve header row in each split
- Flexible output format options
- Support for large datasets
- Fast and efficient processing

Common Use Cases:
- Split large CSV files for processing
- Divide data for parallel processing
- Create manageable data chunks
- Export data in different formats
- Prepare data for batch operations
- Manage file size limitations",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=csv-splitter",
      "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]