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AI Token Visualizer

Estimate token counts and visualize limits for ChatGPT, Claude, and Gemini.

STEP 1

Pick

STEP 3

Save

Fast. Local. Effortless.

Manage your sensitive files with zero uploads. Everything happens directly in your browser.

01

Paste Prompt

Type or paste your prompt into the text area.

02

Select Model

Choose your target AI model to apply the appropriate token estimation logic.

03

View Metrics

Instantly see the estimated token count and context consumption.

Workflows & Solutions

Specialized Workflows & Use Cases

Tailored browser-based workflows designed for specific industry needs and compliance standards.

FEATURES

Multiple Models Supported

Visualize token limits and consumption for ChatGPT, Claude, and Gemini in real-time.
PRIVACY

Instant Estimation

No APIs required. Uses fast heuristic calculations right in your browser to help you optimize prompts.

Frequently Asked Questions

Everything you need to know about our private, browser-based file tools.

Still have questions? Contact us or check our How it Works page.

What Is an AI Token Visualizer?

Large language models like GPT-4, Claude, and Gemini don't process text word-by-word — they process tokens. A token is a chunk of text that the model's vocabulary recognizes as a single unit. It might be a whole word ("hello"), a word fragment ("ing"), a punctuation mark, or a space. Understanding tokenization is essential for developers building on AI APIs, writers optimizing prompts, and anyone managing context window limits.

Edita's AI Token Visualizer shows you exactly how your text is split into tokens for GPT (tiktoken), Claude (Anthropic tokenizer), and Gemini — color-coding each token so you can see the boundaries visually. It also counts the total tokens, helping you stay within model limits and estimate API costs.

Why Token Count Matters

API Cost Management

OpenAI, Anthropic, and Google charge per token. A prompt that's 500 tokens longer than necessary costs measurably more at scale. Visualizing token boundaries helps you trim prompts without losing semantic meaning.

Context Window Limits

Every model has a maximum context length — GPT-4o at 128K tokens, Claude 3.5 at 200K, Gemini 1.5 Pro at 1M. Paste your full prompt plus expected response to verify you're within limits before sending expensive API calls.

Prompt Engineering

Seeing how a model tokenizes your text reveals surprising patterns — "don't" splits differently from "do not", and certain technical terms tokenize inefficiently. Adjusting phrasing based on token visualization can improve both cost and model performance.

Supported Models

The visualizer supports tokenization for GPT-3.5 / GPT-4 (cl100k_base via tiktoken), Claude (Anthropic tokenizer), and Gemini — the three most widely used AI API families. Switch between models to compare how the same text tokenizes differently across architectures.

Related Tools

Working with structured prompts? Use the JSON Formatter to structure API payloads cleanly before tokenizing them.