DigitalQuiver Tools

AI Token Counter

Estimate how many tokens a prompt will use, for GPT- and Claude-style models.

0Characters
0Words
0~Tokens (GPT-style)
0~Tokens (Claude-style)

These are estimates, not exact counts. Exact token counts depend on each provider's own tokenizer. OpenAI's tokenizer is public, so dedicated tools can be exact for GPT models; Anthropic doesn't publish an offline tokenizer, so an exact Claude count requires calling Anthropic's own API. This tool uses a character-based approximation to give you a fast, reasonable ballpark for either family, without uploading your text anywhere.

What is the AI Token Counter?

LLM APIs charge and enforce context limits by "tokens," not characters or words — a token is roughly a word-piece, and the exact count depends on the specific model's tokenizer. This tool gives you a fast, private estimate of your prompt's token count before you send it anywhere.

How to use it

  1. Paste or type your prompt.
  2. Character, word, and estimated token counts update automatically for both GPT-style and Claude-style tokenization.

Why this is an estimate, not an exact count

A genuinely exact token count requires running the model provider's own tokenizer. OpenAI publishes theirs, so dedicated offline tools can count GPT tokens exactly; Anthropic does not publish an equivalent offline tokenizer for Claude, so an exact Claude count can only come from calling Anthropic's own API directly. To keep this tool free, private, and usable without an API key, it uses a character-based approximation instead — a fast, useful ballpark, not a billing-accurate count. For an exact number before an important production run, check your provider's own documented tokenizer or API.

More AI Tools

Prompt FormatterFormat a system + user prompt into the JSON shape LLM APIs expect. Prompt DiffCompare two versions of a prompt and see exactly what changed. LLM Cost CalculatorEstimate the cost of an LLM API call from your token counts and pricing. Context Window CalculatorSee how much of a model's context window your prompt would use.