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Number Format Cleaner

Normalize and clean various number formats in text for consistency

Only used when "Custom Format" is selected

Only used when "Custom Format" is selected

Remove all currency symbols from numbers

Remove spaces within numbers (1 234 → 1234)

Key Facts

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

Overview

The Number Format Cleaner is a specialized utility designed to normalize inconsistent numerical data within text, ensuring your datasets follow a uniform structure for analysis or reporting.

When to Use

  • •When merging datasets from different regions that use conflicting decimal and thousands separators.
  • •When preparing raw text data for import into spreadsheets or databases that require a specific number format.
  • •When cleaning scraped web content or documents containing mixed currency symbols and inconsistent spacing.

How It Works

  • •Paste your text containing mixed number formats into the input area.
  • •Select your desired target format or define custom separators for thousands and decimals.
  • •Toggle options to strip currency symbols or normalize internal spacing as needed.
  • •Choose your preferred output style, such as cleaned text or a detailed report, and generate the result.

Use Cases

Standardizing international financial reports for unified accounting software import.
Cleaning large text files containing mixed regional number notations for data science projects.
Removing formatting artifacts from copied-and-pasted web tables to prepare them for calculation.

Examples

1. Standardizing Global Sales Data

Data Analyst
Background
An analyst received a sales report containing mixed US (1,234.56) and European (1.234,56) number formats.
Problem
The spreadsheet software fails to perform calculations because it treats the mixed formats as text strings.
How to Use
Paste the data into the tool, select 'English Standard' as the target format, and enable 'Remove Currency Symbols'.
Outcome
All numbers are converted to a consistent 1,234.56 format, allowing for immediate mathematical operations in Excel.

2. Cleaning Scraped Financial Text

Researcher
Background
A researcher scraped financial figures from various international websites, resulting in inconsistent spacing and symbols.
Problem
The data is cluttered with currency symbols and irregular spaces, making it impossible to aggregate.
How to Use
Input the text, enable 'Remove Currency Symbols' and 'Normalize Number Spaces', then select 'Cleaned Text Only'.
Outcome
The output provides a clean list of raw numerical values ready for statistical analysis.

Try with Samples

markdown, video, text
Regex Replace Samples
Collection of common and useful regex replacement patterns for text transformation and data cleaning
preferred input family markdown
markdown
Markdown Samples
Markdown format examples from simple to complex document structures
preferred input family markdown
markdown
Number & Currency Samples
Text containing various number and currency formats for testing currency extraction
title token number
text
Apache Arrow Samples
Apache Arrow in-memory columnar format examples for high-performance data processing and analytics
preferred input family markdown
markdown

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FAQ

Can this tool handle currency symbols?

Yes, you can enable the 'Remove Currency Symbols' option to automatically strip symbols like $, €, or ¥ from your numbers.

Does it support European number formats?

Yes, you can select 'European Standard' to convert numbers to the 1.234,56 format.

Can I define my own separators?

Yes, by selecting 'Custom Format', you can manually specify your preferred characters for both thousands and decimal separators.

What happens to spaces inside numbers?

The 'Normalize Number Spaces' option removes internal spaces (e.g., converting 1 234 to 1234) to ensure the numbers are machine-readable.

Can I see a comparison of the changes?

Yes, select 'Side-by-Side Comparison' in the Output Format settings to view the original text alongside the cleaned version.

API Documentation

Request Endpoint

POST /en/api/tools/number-format-cleaner

Request Parameters

Parameter Name Type Required Description
textInput textarea Yes -
targetFormat select Yes -
customThousandsSep text No Only used when "Custom Format" is selected
customDecimalSep text No Only used when "Custom Format" is selected
removeCurrencySymbols checkbox No Remove all currency symbols from numbers
normalizeSpaces checkbox No Remove spaces within numbers (1 234 → 1234)
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-number-format-cleaner": {
      "name": "number-format-cleaner",
      "description": "Normalize and clean various number formats in text for consistency",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=number-format-cleaner",
      "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]