Is my prompt data sent to a server?
No. The token encoding library runs entirely within your browser's JavaScript engine. Your proprietary prompts are completely secure.
Calculate exact token counts and estimated costs for LLM prompts • Encode strings using official tiktoken encodings locally
Strictly Client-Side Processing
Your proprietary prompts and training data never leave your browser. All computations, formatting, and validation are executed locally on your machine.
Total Tokens
0
Estimated API Cost
$0.0000
System Definition BlockCalculate exact token counts and API costs for your large language model prompts before sending them to OpenAI or Anthropic. 100% secure client-side processing.
WebToolkit Pro is engineered for zero-trust environments. This utility processes your sensitive data entirely within your browser using Web Workers.
The tool uses the official `js-tiktoken` library, operating the `cl100k_base` encoding standard used by models like GPT-4 and GPT-3.5 directly inside your browser.
import { encode } from 'gpt-tokenizer';
function calculateCost(promptText, costPer1kTokens = 0.01) {
const tokens = encode(promptText);
const estimatedCost = (tokens.length / 1000) * costPer1kTokens;
return `Tokens: ${tokens.length} | Cost: $${estimatedCost.toFixed(4)}`;
}No. The token encoding library runs entirely within your browser's JavaScript engine. Your proprietary prompts are completely secure.
As a general rule of thumb, 1 token is roughly equivalent to 4 characters or 0.75 words of standard English text.
Looking for more professional developer utilities?
Explore All WebToolkit Pro ToolsZero-Knowledge Protocol: To guarantee absolute user privacy, this tool executes 100% client-side inside your web browser via WebAssembly and local JavaScript. None of your input strings, payloads, keys, or files are ever transmitted to a remote server.
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