Token to Word Estimator
Convert a token count into rough English words, English characters or CJK character ranges — or paste text to estimate tokens.
Inputs
Paste text to estimate tokens. Text stays in your browser.
Estimate
| Metric | Result |
|---|---|
| English words | — |
| English characters | — |
| CJK character range | — |
| Mixed-text characters | — |
| Estimated text tokens | — |
| English words in text | — |
| CJK chars in text | — |
A token to word estimator for quick planning: convert a token count into approximate English words, English characters and CJK character ranges, or paste text to estimate a rough token count. It helps with prompt length, context-window planning and API-cost estimation. Everything runs locally in your browser; your text is not uploaded.
Related search intents: token to word estimator · token word calculator · AI token word count · tokens to words · LLM token estimator · prompt token length · tokens to characters · GPT token word estimate · Claude token estimator · Chinese token estimate · context window estimator · AI prompt length checker
FAQ
How many words is one token?
A common English rule of thumb is 1 token ≈ 0.75 words, so 1,000 tokens is about 750 English words. The real count depends on tokenizer, punctuation and text type.
How many Chinese characters is one token?
There is no stable one-size-fits-all ratio for Chinese, Japanese or Korean. For planning, use roughly 1 token ≈ 1–2 CJK characters, then verify with the official tokenizer.
Why does this differ from an official tokenizer?
Official tokenizers split text using model-specific vocabularies. Spaces, punctuation, emoji and code snippets can all change the split. This tool uses simple rules for quick estimates.
Is my pasted text uploaded?
No. Text is processed locally in your browser and is not sent to a server or analytics event.
What is this tool good for?
Prompt planning, context-window sizing and rough API-cost estimation. For exact billing or truncation, use the target model’s official counting method.
Two ways to estimate
- If you know the token count, enter it in Tokens; the result shows rough English words, English characters, CJK character range and mixed-text characters.
- If you have text, paste it into the text box; the tool estimates tokens from English words, CJK characters and symbols.
- Use the result for planning. Before production limits or billing decisions, verify with the tokenizer or counting API for your target model.
A typical example
For 1,000 tokens, English prose is roughly 750 words or about 4,000 English characters. Dense Chinese/Japanese/Korean text often lands around 1,000–2,000 CJK characters. Pasted mixed-language prompts are estimated from word count, CJK chars and symbols.
Do not treat this as an exact tokenizer
- Different models use different tokenizers, so the same text can produce different token counts in GPT, Claude, Gemini or DeepSeek.
- Code, JSON, URLs, emoji, math symbols and heavy punctuation can increase error.
- The tool does not upload or log your text, but it is still only for rough planning — not final billing, truncation or production enforcement.