Token Counter (AI)
Estimate prompt tokens, context-window usage, remaining room and approximate AI model cost before you send a request.
Paste text to see token usage
Context fit appears after calculation
Metrics appear after calculation
Your explanation appears here
Different AI models tokenize text differently. Use this counter for planning and verify exact counts with your provider SDK when precision matters.
Your plan appears after calculation
Preview context usage after compressing the prompt or reserving more output tokens.
Calculate your prompt first
It estimates tokens from characters and words using a local heuristic. The balanced mode is designed for practical planning, while compact and verbose modes give lower and higher bounds.
No. Tokenizers vary by provider, model, language, spacing and code format. Use this for fast planning, then verify exact counts with the provider tokenizer or SDK when production accuracy is required.
No. The text analysis runs with client-side JavaScript only. It does not call external APIs, persist your text in browser storage, use API keys, analytics, tracking pixels or auth headers.
Token counts and costs are estimates generated locally in your browser. Actual billing may differ by provider tokenizer, model, cached tokens, tool calls, reasoning tokens, retries, rounding rules and current pricing. VisionVix accepts no liability for engineering, budget or production decisions based on this output.
