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.
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
Paste text or import a supported document
- 2
Choose a tokenizer encoding and context size
- 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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