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Count AI Tokens Instantly

Accurately count tokens for GPT-4, Claude, Llama, Gemini, and more. Optimize your prompts, estimate costs, and stay within context limits - all in your browser.

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Accurate Counts
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FEATURES

Everything You Need for Token Counting

A comprehensive token counter for AI developers, prompt engineers, and anyone working with large language models.

Multi-Model Support
Count tokens for OpenAI GPT-4/4o, Claude 3, Llama 3, Gemini, Mistral, and more. Switch between models instantly.
Accurate Tokenization
Uses official tokenizers (tiktoken, Claude tokenizer) for exact counts. No guesswork or approximations for supported models.
Comprehensive Statistics
Get detailed text analytics: characters, words, sentences, paragraphs, and average lengths.
100% Private & Secure
All processing happens locally in your browser. Your text never leaves your device - no servers, no tracking.
Works Offline
Install as a PWA and count tokens anywhere, anytime - even without internet.
Real-Time Updates
See token counts update as you type. No need to click 'calculate' - results appear instantly.
File Upload Support
Upload .txt, .md, .json, .xml, or other text files. Drag and drop or click to browse.
Context Window Tracking
See how much of your model's context window you're using with a visual progress bar.
Easy Copy & Paste
Simply paste your text and get instant results. Copy statistics to clipboard with one click.
HOW IT WORKS

Count Tokens in 3 Easy Steps

No setup required. Just paste, select your model, and see results instantly.

01

Paste or Upload Text

Enter your text directly or upload a file. The counter handles any text length efficiently.

02

Select Your AI Model

Choose from GPT-4, Claude, Llama, Gemini, Mistral, and more. Each model uses its own tokenizer.

03

View Statistics

Get instant token count, context usage percentage, and comprehensive text statistics.

Results in milliseconds

Use Cases

How developers and AI practitioners use our token counter

Prompt Engineering
Optimize your prompts to fit within context limits. Test different prompt versions and see their token impact.
API Cost Estimation
Estimate API costs before making requests. Know exactly how many tokens you're using per call.
Context Window Management
Ensure your text fits within model context limits. Track usage percentage in real-time.
Chatbot Development
Manage conversation history to stay within limits. Know when to truncate or summarize context.
Document Processing
Plan document chunking strategies. Know how to split large documents for AI processing.
Enterprise AI Development
Standardize token counting across teams. Consistent metrics for AI feature development.
AI Tool

Count Your Tokens

Paste or type your text to see real-time token counts for your selected AI model

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Token Counter

Token Counter

Paste or type your text to see real-time token counts for your selected AI model

  • Count tokens for GPT-4, Claude, and other AI models
  • Calculate API costs based on token usage
  • Works offline - no data sent to servers

Token Counter

Paste or type your text to see real-time token counts for your selected AI model

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Frequently Asked Questions

Everything you need to know about token counting for AI models.

A token is a piece of text that language models process. It can be a word, part of a word, or punctuation. For example, 'tokenization' might be split into 'token' and 'ization'. Different models use different tokenization schemes, which is why token counts vary between models.

For OpenAI and Claude models, we use their official tokenizers providing exact counts. For Llama, Gemini, and Mistral, we provide estimates based on their known tokenization patterns.

We support GPT-4, GPT-4o, GPT-4-turbo, GPT-3.5-turbo (OpenAI), Claude 3 Opus/Sonnet/Haiku, Claude 3.5 (Anthropic), Llama 2/3 (Meta), Gemini Pro/1.5/2.0 (Google), and Mistral Large/Medium/Small.

Absolutely. All tokenization happens locally in your browser using JavaScript. Your text is never sent to any server - it stays on your device. We don't collect, store, or transmit your data.

Yes! Install it as a Progressive Web App (PWA) from your browser, and you can count tokens even without an internet connection.

You can upload any text-based file: .txt, .md, .json, .xml, .csv, .log, .html, .css, .js, .py, and more. The tool reads the raw text content for tokenization.

The context window is the maximum number of tokens a model can process in a single request (input + output). For example, GPT-4 has an 8K context window, while GPT-4-turbo has 128K. Our tool shows how much of this window your text uses.

We use Anthropic's official JavaScript tokenizer (@anthropic-ai/tokenizer) for accurate Claude token counting. This provides exact counts for all Claude 3 and 3.5 models.

This tool works in all modern browsers including Chrome, Firefox, Safari, and Edge. It is optimized for desktop use but works on mobile devices too.

We welcome feedback! You can submit issues or feature requests through our GitHub repository. We're constantly improving based on user input.

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