# Number Format Cleaner Normalize and clean various number formats in text for consistency > Canonical page: https://elysiatools.com/en/tools/number-format-cleaner - **Category:** Text Processing - **Keywords:** number format, normalize numbers, decimal separator, thousands separator, currency format, text cleaning ## 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. ## Inputs - **Text Input** (textarea): Enter or paste your text with various number formats here... Examples of mixed formats: 1,234.56 and 1.234,56 and 1,234 and 1 234.56 $1,234.56 and €1,234,56 and ¥1,234 1234.56% and 1.2% and 1 234% 1,234,567.89 and 1,234,567.89 - **Target Format** (select) - **Custom Thousands Separator (for custom format)** (text): Only used when "Custom Format" is selected - **Custom Decimal Separator (for custom format)** (text): Only used when "Custom Format" is selected - **Remove Currency Symbols** (checkbox): Remove all currency symbols from numbers - **Normalize Number Spaces** (checkbox): Remove spaces within numbers (1 234 → 1234) - **Output Format** (select) ## 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. ## Frequently asked questions ### 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. ## Related tools - [Markdown to Plain Text](https://elysiatools.com/en/tools/markdown-to-plain-text): Convert Markdown formatted text to plain text by removing all Markdown syntax and formatting - [Line Number Remover](https://elysiatools.com/en/tools/line-number-remover): Remove line numbers from text or code with intelligent pattern recognition - [Prefix Remover](https://elysiatools.com/en/tools/prefix-remover): Remove common prefixes from each line with intelligent detection and customizable options - [Suffix Remover](https://elysiatools.com/en/tools/suffix-remover): Remove common suffixes from each line with intelligent detection and customizable options - [Text Compressor](https://elysiatools.com/en/tools/text-compressor): Compress text by removing extra spaces, newlines, and unnecessary whitespace while preserving content structure - [Paragraph Formatter](https://elysiatools.com/en/tools/paragraph-formatter): Normalize paragraph formatting with proper spacing, punctuation, and structure - [BOM Character Remover](https://elysiatools.com/en/tools/data-bom-remover): Remove BOM (Byte Order Mark) characters from text and file content. Perfect for cleaning up text files that have encoding issues, fixing CSV imports, and preparing data for processing. Features: - Detect and remove UTF-8 BOM (EF BB BF) - Detect and remove UTF-16 BOM (FE FF or FF FE) - Detect and remove UTF-32 BOM (00 00 FE FF or FF FE 00 00) - Support multiple input formats - Visual BOM character display - Detailed detection report - Support for batch text processing Common Use Cases: - Fix CSV file import errors - Clean up text file encoding issues - Prepare data for JSON parsing - Fix XML parsing problems - Resolve API data encoding conflicts - Standardize text data format - [Data Cleaner](https://elysiatools.com/en/tools/data-cleaner): Clean and standardize data by fixing spelling errors, standardizing formats, removing duplicates, and filling missing values ## Samples - [Regex Replace Samples](https://elysiatools.com/en/samples/regex-replace): Collection of common and useful regex replacement patterns for text transformation and data cleaning - [Markdown Samples](https://elysiatools.com/en/samples/markdown-samples): Markdown format examples from simple to complex document structures - [PDF Samples](https://elysiatools.com/en/samples/pdf-samples): Generated PDF samples from tools dated 2026-02-01 to 2026-02-10 - [Test Pyramid Examples - Testing Strategy Guide](https://elysiatools.com/en/samples/test-pyramid-examples): Comprehensive test pyramid implementation examples including unit tests, integration tests, E2E tests, test organization, and strategic testing patterns for balanced software quality assurance ## Related content - [Invoice, Receipt, and Tax Workflow](https://elysiatools.com/en/hubs/invoice-tax-workflows): Turn receipt or billing inputs into a checked invoice by normalizing amounts, applying the right tax path, validating identifiers, and producing a PDF, receipt, or XLSX record.