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CSV Filter

Filter CSV data by column values with multiple conditions and operators. Supports 12 filter operators including equals, contains, greater_than, less_than, and empty value checks. Additional Filters examples: [{"column": "age", "operator": "greater_than", "value": "25"}] [{"column": "status", "operator": "equals", "value": "active"}, {"column": "score", "operator": "greater_equal", "value": "80"}] [{"column": "name", "operator": "contains", "value": "john"}, {"column": "email", "operator": "is_not_empty"}]

Click to upload file or drag and drop file here

Maximum file size: 10MB

Key Facts

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

Overview

CSV Filter is an online data processing tool for filter csv data by column values with multiple conditions and operators. supports 12 filter operators including equals, contains, greater_than, less_than, and empty value checks. additional filters examples: [{"column": "age", "operator": "greater_than", "value": "25"}] [{"column": "status", "operator": "equals", "value": "active"}, {"column": "score", "operator": "greater_equal", "value": "80"}] [{"column": "name", "operator": "contains", "value": "john"}, {"column": "email", "operator": "is_not_empty"}]. It is especially useful when working with json, csv content.

When to Use

  • •Use it when you need to validate json, csv content quickly in the browser.
  • •Helpful for data processing workflows that need repeatable inputs and fast results.
  • •A good fit when you want to test with real files before running the same workflow in code or API calls.

How It Works

  • •Provide CSV File, Filter Column, Filter Operator, Filter Value as input to the tool.
  • •The tool processes the request and returns a file result.
  • •For file workflows, start with representative samples such as json, csv test files to verify edge cases and output quality.

Use Cases

Validate json, csv data during debugging or QA.
Validate expected output before using the API or automation flows.
Test the workflow with representative sample files and edge cases.

Try with Samples

json, csv, file
CSV Samples
Sample CSV files with various data types, sizes, and complexity levels
title token csv
json
Python Samples
Essential Python code examples and Hello World demonstrations
preferred input family json
json
WebRTC Real-Time Communication Samples
Comprehensive WebRTC samples for peer-to-peer audio/video communication, data channels, screen sharing, and signaling server implementation
preferred input family json
json
Grafana Advanced Application Samples
Comprehensive Grafana samples covering advanced dashboard design, alerting configurations, data source integrations, and plugin development
preferred input family json
json

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FAQ

What does CSV Filter do?

CSV Filter helps you validate json, csv content online without setting up a separate local script or app.

When should I use this tool?

Use it when you need a quick validate workflow, want to verify output, or need a browser-based utility for data processing tasks.

Can I try this tool with sample data?

Yes. This page can recommend related sample files so you can test the workflow immediately.

What inputs does CSV Filter accept?

CSV Filter accepts CSV File, Filter Column, Filter Operator, Filter Value and supports file uploads for 1 field.

Is there an API for CSV Filter?

Yes. The tool page includes an API endpoint so you can move from manual testing to scripted usage.

API Documentation

Request Endpoint

POST /en/api/tools/csv-filter

Request Parameters

Parameter Name Type Required Description
csvFile file (Upload required) Yes -
filterColumn text Yes -
filterOperator select No -
filterValue text No -
additionalFilters textarea No -
outputFormat select No -
includeHeader checkbox No -
caseSensitive checkbox No -
trimValues checkbox No -

File type parameters need to be uploaded first via POST /upload/csv-filter to get filePath, then pass filePath to the corresponding file field.

Response Format

{
  "filePath": "/public/processing/randomid.ext",
  "fileName": "output.ext",
  "contentType": "application/octet-stream",
  "size": 1024,
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
File: File

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-csv-filter": {
      "name": "csv-filter",
      "description": "Filter CSV data by column values with multiple conditions and operators. Supports 12 filter operators including equals, contains, greater_than, less_than, and empty value checks.

Additional Filters examples:
[{\"column\": \"age\", \"operator\": \"greater_than\", \"value\": \"25\"}]
[{\"column\": \"status\", \"operator\": \"equals\", \"value\": \"active\"}, {\"column\": \"score\", \"operator\": \"greater_equal\", \"value\": \"80\"}]
[{\"column\": \"name\", \"operator\": \"contains\", \"value\": \"john\"}, {\"column\": \"email\", \"operator\": \"is_not_empty\"}]",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=csv-filter",
      "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.

Supports URL file links or Base64 encoding for file parameters.

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