What is a token in AI for fashion?
A small unit of text, often part of a word, that language models read and write; usage and limits are measured in tokens.
In short
A token is a small unit of text, often part of a word, that language models read and write. AI usage, pricing and limits are measured in tokens, so they shape the cost of tasks such as generating product copy or translating line sheets.
How does it work in practice?
Language models do not process whole words. They break text into tokens, which may be a full short word, part of a longer word, a space or a punctuation mark. A long product name with style codes, fabric terms and colour names may count as many tokens. Non-English languages and unusual technical terms often use more tokens for the same meaning.
Tokens matter in fashion workflows such as:
- Product copy generation for every style in a collection.
- Translation of line sheets, size guides and terms into several languages.
- Summarising retailer feedback, reviews or service tickets.
- Assistants that answer buyer questions using retrieved documents.
Why does it matter?
Many AI services charge per token for both input and output, so the length of prompts, attached documents and answers drives cost. Translating a full wholesale collection into several languages can consume a large number of tokens. The size of a model's context window, meaning how much it can consider at once, is also measured in tokens.
How does AI use it?
Tokens are the basic unit of every language model request. The model reads the input tokens, then predicts output tokens one at a time. Understanding this helps teams design efficient prompts, decide how much context to include and estimate running costs before rolling a feature out to all markets.
Common pitfalls
- Sending too much context. Pasting entire catalogues into every request inflates cost and can reduce answer quality.
- Ignoring output length. Setting clear length limits keeps costs and editing time down.
- Forgetting languages. Some languages use noticeably more tokens, which affects multi-market budgets.
- Equating tokens with words. Estimates based on word counts alone are usually too low.
Frequently asked questions
How many words is a token?
It varies by language and model. In English a token is often a short word or part of a word, so a text usually contains more tokens than words.
Why do AI tools charge by token?
Tokens reflect the actual computing work a model does to read input and generate output, so they are a practical unit for pricing and limits.