Free Claude Token Counter
Estimating Claude usage before you send it
Claude models read and bill in tokens, and the limits you run into, the context window and the maximum output, are measured in them. Anthropic’s tokenizer is not available for offline use, which means a browser tool can only estimate. This counter does that honestly. Paste your text and it shows an estimated token count, a likely range around it, and the word and character counts. Everything is calculated in your browser, so your prompt is never uploaded.
How the estimate is made
The tool walks through your text piece by piece. Short English words count as one token, and longer words are split into several. Numbers are counted in short groups of digits, punctuation and symbols are counted individually, emoji and characters outside the basic alphabet get their own rules, and scripts such as Bengali, Arabic, Hindi and Cyrillic are counted more heavily than English, because they are split into more pieces. Line breaks add a little. It is a careful rule of thumb, not Anthropic’s real tokenizer.
Reading the estimate and the range
Because the method is approximate, the tool shows both a single estimate and a likely range, running from roughly twelve percent below the estimate to fifteen percent above it. Plain English prose usually lands close to the middle. Code, emoji, long numbers, tables and non-English text are less predictable and can sit near either end, so plan around the top of the range when you are checking whether something fits.
Using the counter for a real task
- Paste the full prompt: system instructions, documents and your question.
- Read the estimate and the range, and use the upper figure for limits.
- Compare it with the context window of the model you plan to use, with the AI context window checker.
- Turn the tokens into money with the AI API cost calculator, remembering that output is priced separately.
If your text uses most of the window, you leave little room for a reply, and it is worth trimming or splitting.
Things that add tokens beyond your text
- The system prompt you set for your application.
- Conversation history, which is resent with each turn.
- Images, which are converted into tokens based on their size.
- Tool definitions, if you give the model functions to call.
- The reply itself, counted as output.
This tool counts only the text you paste, so add these separately when you budget.
Getting an exact count
If you build with the Claude API, Anthropic provides a token counting endpoint that returns the exact number for a request, including system prompts, tools and images, without generating a reply. Each response from the API also reports the actual input and output tokens used. Use the estimate here for quick planning and the API figures for billing and final limits.
Why a rough number is still useful
Most planning questions do not need exactness. Will this fit? Is it closer to 5,000 tokens or 50,000? Which of two prompts is bigger? An estimate within about fifteen percent answers all of these. It stops being enough only when you are close to a hard limit or checking a bill. For a quick sense of the spread between methods, paste the same text into the GPT token counter and compare. If the two numbers are close, your planning is safe, and if they differ a lot, check the real count through the API.
Shrinking a prompt without losing meaning
- Remove repeated instructions and examples that do not change the answer.
- Send the relevant excerpt of a document, not all of it.
- Strip formatting noise with the AI text cleaner.
- Ask for the reply format you need, so the model does not write more than necessary.
To compare model families, there is a GPT token counter with an exact count for newer OpenAI models, and the general AI token counter gives a model-neutral estimate.
FAQ
No. Anthropic’s tokenizer is not available offline, so this is an estimate. It can be off by roughly 10 to 15 percent, more for code, emoji and non-English text.
A band from about 12 percent below to 15 percent above the estimate, to show how far off an approximation can be.
Yes. Images are converted to tokens based on their size. This tool counts text only.
Use the token counting endpoint in the Anthropic API, or read the usage figures returned with each response.
No. The estimate is calculated in your browser.
Use the estimate for general planning and the top of the range when you are checking whether something fits under a limit.
It is less precise for code, tables and symbols, which split into many small tokens. Use the top of the range for those.
It is less precise for code, tables and symbols, which split into many small tokens. Use the top of the range for those.