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Token Counter for Vibe Coders

Free Token Counter for Vibe Coders

Count AI tokens, multilingual words, characters, UTF-8 bytes, and context usage from text, DOCX, PDF, Markdown, or code privately in your browser.

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HOW TO

How to use Token Counter for Vibe Coders

Check prompts, code, and documents before using AI to plan context windows and token costs.

  1. 1

    Paste text or import a supported document

  2. 2

    Choose a tokenizer encoding and context size

  3. 3

    Review live tokens, words, characters, context use, and cost

FAQ

Common questions

Does the token counter upload my text?+

No. Text and imported documents are read and counted locally in your browser.

Why is a token count different from a word count?+

AI tokenizers split text into model-readable units. One word can use one or several tokens, and the ratio varies by language and content.

Can it count Thai, Chinese, Japanese, and English words?+

Yes. Word and character statistics use browser language segmentation for multilingual text, while AI tokens use the selected tokenizer encoding.

Which tokenizer should I choose?+

Use o200k_base for a modern OpenAI-compatible estimate, cl100k_base for earlier GPT-era workflows, or p50k_base for legacy content. Always confirm the tokenizer used by your target model or API.

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