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Welcome to Tokenizador

Tokenizador is a professional, real-time AI tokenization visualization tool that helps you understand how different AI models process and tokenize text. With support for 48 models from leading providers like OpenAI, Anthropic, Google, Meta, and more, you can visualize tokenization, estimate costs, and compare models all in one place.

Quick Start

Get started with Tokenizador in minutes

How to Use

Learn how to use the tokenization analyzer

Supported Models

View all 48 supported AI models

API Reference

Explore the JavaScript API

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Key Features

Real-Time Analysis

Tokens are calculated as you type, with instant feedback on tokenization

48 Models Supported

Support for OpenAI, Anthropic, Google, Meta, Mistral AI, and many more providers

Cost Estimation

Automatically calculates the estimated cost per model based on current pricing

Interactive Visualization

Color-coded token display with detailed token lists and statistics

Context Warnings

Get warnings when your text exceeds model context limits

Export Results

Export analysis results in JSON, CSV, or TXT formats

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What is Tokenization?

Tokenization is the process of breaking down text into smaller units called “tokens” that AI models can understand. Different models use different tokenization strategies, which affects:
  • Token count - How many tokens your text uses
  • Cost - API costs are typically charged per token
  • Context limits - Maximum text length a model can process
Understanding tokenization helps you optimize your prompts and manage API costs more effectively.

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Live Demo

Visit tokenizador.alblandino.com to try the tool in your browser. No installation required!

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Who is this for?

Optimize your prompts, estimate API costs, and understand how different models process your text
See how your content is tokenized and ensure it fits within model context limits
Compare tokenization strategies across models and analyze text processing patterns
Learn about tokenization and explore how different AI models work under the hood

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Architecture

Tokenizador is built with a modern, modular architecture:
  • Vanilla JavaScript - No framework dependencies, fast and lightweight
  • Tiktoken Library - Industry-standard tokenization for maximum accuracy
  • Modular Design - Separation of concerns with services, controllers, and utilities
  • Responsive UI - Works perfectly on desktop, tablet, and mobile

Explore the Architecture

Learn about the modular architecture and component design

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Get Started

Ready to start visualizing tokenization? Follow our quickstart guide to get up and running in minutes.

Quickstart Guide

Start using Tokenizador in 3 simple steps

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