AI Token Counter & Text Metrics
Estimate BPE token usage, character counts, reading time, and density metrics for LLM prompts.
100% Client-Side · In-Memory Only
Interactive Tool Workspace
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How to Use AI Token Counter & Text Metrics
- Paste your text, system prompt, or source code into the editor.
- Review real-time BPE token estimations, character counts, and UTF-8 byte weights.
- Inspect detailed density metrics including tokens-per-word ratio and estimated reading/speaking time.
- Click the live pricing link to instantly evaluate inference costs across 400+ models.
Features & Guarantees
- Fast client-side BPE heuristic token counter for GPT-4o, Claude, and Gemini style tokenizers.
- Breaks down UTF-8 bytes, character distribution (ASCII vs Unicode vs Whitespace), and sentence counts.
- Calculates estimated silent reading and spoken presentation times.
- 100% private and offline: your text never leaves your browser.
Frequently Asked Questions
How does the AI token counter calculate tokens?
It uses calibrated Byte-Pair Encoding (BPE) heuristics averaging ~3.9 characters per token for prose and ~3.3 characters per token for code syntax, closely matching OpenAI cl100k/o200k and Anthropic tokenizers.
Is my text sent to any server or AI model?
No. All text parsing and token calculation execute entirely in your local browser memory.