Formatting Utilities

Number To Words

Converts numeric values into their written English equivalent through the /v1/format/words endpoint. Pass any integer and get back its word representation — useful for generating readable reports, checks, or natural language processing. Works with negative numbers, zero, and large values up to JavaScript's safe integer limit.

API Endpoint

GET /v1/format/words

Code Examples

curl "https://tinyfn.io/v1/format/words" \
  -H "X-API-Key: YOUR_API_KEY"
const response = await fetch('https://tinyfn.io/v1/format/words', {
  headers: { 'X-API-Key': 'YOUR_API_KEY' }
});
const data = await response.json();
console.log(data);
import requests

response = requests.get('https://tinyfn.io/v1/format/words',
    headers={'X-API-Key': 'YOUR_API_KEY'})
data = response.json()
print(data)

Use via MCP

Add to your AI agent

Connect your AI agent (Claude, Cursor, Windsurf, etc.) to TinyFn's formatting tools:

{
  "mcpServers": {
    "tinyfn-format": {
      "url": "https://tinyfn.io/mcp/format",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Learn more about MCP setup →

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Number To Roman
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Roman To Number
Convert Roman numerals to a number.
Format Bytes
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Format Phone
Format a phone number according to country conventions.

FAQ

How do I convert a number to words using the MCP tool?

Call the Number To Words tool with your numeric value. It returns the English text representation, like 42 becomes 'forty-two' and 1000 becomes 'one thousand'.

What's the largest number I can convert to words?

The tool handles values up to JavaScript's MAX_SAFE_INTEGER (9,007,199,254,740,991). Beyond this limit, precision may be lost in the conversion.

Does the number-to-words converter handle negative numbers and decimals?

Yes for negative numbers (returns 'negative forty-two'), but decimal support depends on the specific implementation. Test with your use case to confirm decimal handling.

Can I use this for generating written checks or legal documents?

Absolutely. The deterministic output ensures consistent formatting for financial applications, contracts, or any document requiring spelled-out numbers.

How does this compare to writing my own number-to-words function?

TinyFn handles edge cases, localization considerations, and maintains consistent output format. Saves development time versus building comprehensive number parsing logic from scratch.

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