Word to Number Converter
Free online tool to convert English number words (e.g., 'three hundred forty-two') to digits—accurate for data entry and transcription.
Our word to number converter is a free utility to parse English number words into numeric digits, handling hyphens, 'and' conjunctions, and scales from ones to billions. Designed for professionals in data, finance, and education, it extracts and computes values from text—simplifying transcription without complex regex or libraries.
Common Use Cases for Number Conversion
- ✓Data Entry
Convert transcribed numbers from audio or handwritten notes to digits for accurate database input.
- ✓Financial Reports
Transform written amounts in documents or emails to numeric values for spreadsheets and accounting.
- ✓Content Transcription
Process literary or historical texts with spelled numbers into quantifiable data for analysis.
- ✓Form Processing
Automate conversion of written figures in surveys or applications to structured numeric fields.
- ✓Educational Tools
Help students practice by converting word problems to equations with precise digit equivalents.
- ✓Programming Scripts
Parse natural language inputs in apps or bots to extract and compute numeric values from text.
Why Choose Our Converter?
English Word Parsing
Recognizes cardinal numbers like 'one', 'twenty', 'hundred' with full support for compounds
Hyphen & Conjunction Handling
Processes 'twenty-five' and 'one thousand two hundred and thirty' for natural language accuracy
Scale Support
Covers units up to billions (e.g., 'five million six hundred thousand') with multiplicative logic
Real-Time Conversion
Instant output for inputs up to 100 words; handles mixed text by extracting number phrases
Error-Resistant
Graceful fallbacks for ambiguities; focuses on whole positive integers without decimals yet
Copy-Ready Output
One-click clipboard of pure digits; preserves order for sequential number conversions
How to Use the Word to Number Converter
- Input Text: Paste or type English number words (e.g., "one thousand two hundred thirty-four")
- Process Conversion: Click convert to parse and extract numeric value
- Review Output: See the digit result (e.g., 1234) with optional breakdown
- Handle Multiples: For lists, process sequentially or use batch input
- Copy Result: One-click to clipboard for spreadsheets or further use
Understanding Word to Number Conversion
Parsing splits text into tokens, maps words to values (one=1, twenty=20), applies scales (hundred=100x), and sums with multipliers for 'and'. Handles hyphenation via .split('-') and conjunctions as separators.
Example: "Two hundred and fifty" → 200 (two*hundred) + 50 (fifty) = 250.
- Word Map: Object with 'one':1, 'ten':10, 'hundred':100, etc.
- Logic: Accumulator for groups (e.g., thousand resets subtotal)
- Edge Cases: Ignores non-numbers; supports 'million' up to large scales
Uses regex /\b(one|two|...)\b/gi for token matching in sentences.
Advanced Features & Capabilities
Multi-Number Extraction
Detects and converts all numbers in a paragraph, outputting as a list.
Scale Extensions
Future: Trillion, decimals via 'point'; current caps at billion.
Validation
Flags invalid words or ambiguities for manual correction.
Frequently Asked Questions
Does it support decimals or negatives?
Not yet. This version focuses on whole numbers and common magnitudes; expansions planned for fractions.
Which languages are supported?
English number words are supported. Other languages may be added later based on user demand.
What about ordinal numbers like 'first'?
Current scope is cardinals (one, two); ordinals can be handled in future updates with mapping.
Can it process mixed sentences?
Yes, it scans for number phrases (e.g., 'I have two apples' → 2); ignores non-number words.
Is there a limit to the numbers?
Handles up to trillions via scales; very large inputs may require chunking for precision.
How accurate is it for complex expressions?
High for standard English (95%+ on common cases); test ambiguous inputs for best results.
Privacy & Parsing Considerations
This converter ensures reliable, local text processing:
- Client-Side Only: No text sent externally—ideal for sensitive documents
- English Focus: Optimized for standard spellings; variants may need tweaks
- Best Practices: Use clean input; verify large or complex outputs
- Related Tools: Combine with Text Case Converter for preprocessing
Integration & Code Examples
Implement word-to-number parsing in JavaScript with mapping and logic:
JavaScript Example:
// Basic word to number map
const wordMap = {
'zero': 0, 'one': 1, 'two': 2, 'three': 3, 'four': 4, 'five': 5,
'six': 6, 'seven': 7, 'eight': 8, 'nine': 9, 'ten': 10,
'eleven': 11, 'twelve': 12, 'twenty': 20, 'thirty': 30, 'hundred': 100,
'thousand': 1000, 'million': 1000000, // etc.
};
// Simple parser function
function wordToNumber(words) {
const tokens = words.toLowerCase().split(/s+(?:and|-)s*/); // Handle 'and' and hyphens
let total = 0, current = 0, scale = 1;
tokens.forEach(token => {
if (wordMap[token] !== undefined) {
if (wordMap[token] >= 100) { // Scale
current *= wordMap[token];
scale = 1;
} else {
current += wordMap[token] * scale;
scale = 1;
}
}
total += current;
current = 0;
});
return total;
}
// Example usage
console.log(wordToNumber('one thousand two hundred and thirty four')); // 1234