Words ↔ Numbers
Text & StringParse written English number expressions like 'two hundred forty-seven' into numeric digits. Supports integers, ordinals, fractions, and large numbers up to trillions.
Words Input
Result
23456
About Words ↔ Numbers
The Words to Numbers converter parses written English number expressions and converts them into their numeric digit equivalents. Enter phrases like 'two hundred forty-seven', 'three million, five hundred thousand', 'forty-second', or 'one and a half' and instantly receive the corresponding numeric values: 247, 3,500,000, 42nd, or 1.5. It handles cardinal numbers, ordinals, hyphenated compound numbers, and common fraction expressions, making it useful for processing natural language data, cleaning OCR output, parsing user input in forms, and converting historical documents where numbers were written as words.
Features
- ✓Parse cardinal numbers from 'zero' up to hundreds of trillions
- ✓Ordinal number parsing ('forty-second' → 42, 'hundredth' → 100)
- ✓Hyphenated compound number support ('ninety-nine' → 99)
- ✓Fraction expressions ('one and a half' → 1.5, 'three quarters' → 0.75)
- ✓Handles 'and' connector in British English style numbers
- ✓Bulk line-by-line mode for processing lists of written numbers
- ✓Inline extraction mode: finds and replaces all number words in a paragraph
- ✓Output as plain integer, formatted number with commas, or decimal
Common Use Cases
- Processing OCR output from scanned documents where numbers are written as words
- Normalizing natural language user input before storing numeric values
- Parsing historical financial or legal documents for data extraction
- Building NLP pipelines that require numeric normalization of text
- Converting quiz or test answer text into numeric values for auto-grading
- Cleaning survey free-text responses where respondents wrote numbers as words
Frequently Asked Questions
QWhat is the largest number that can be parsed?
The parser supports written numbers up to hundreds of trillions. Values like 'two hundred fifty trillion, three hundred billion' are converted correctly.
QDoes it handle British English with 'and' in number phrases?
Yes. 'Three hundred and forty-two' is parsed correctly in both British ('and' present) and American ('and' omitted) English styles.
QCan it extract numbers from a full paragraph of text?
Yes. In inline extraction mode, the tool scans an entire paragraph, identifies number word sequences, and replaces each one with its numeric equivalent while leaving the surrounding text intact.
QHow does it handle ambiguous phrases like 'a hundred'?
'A' is treated as equivalent to 'one' in number phrases, so 'a hundred' parses as 100 and 'a thousand and one' parses as 1001.