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LLM Tokenizers provides a user-friendly tool for exploring how large language models tokenize text. Enter your text, choose a model, and get detailed tokenized outputs including tokens, token IDs, token count, and character count. API access with Swagger documentation is available for developers.

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LLM Tokenizers

Code by 🧑‍💻Dark Ngo.

Overviews

Welcome to LLM Tokenizers! This repository provides a tool to easily explore the world of large language models by entering your text, selecting your preferred LLM, and receiving a detailed tokenized output. Our system provides a list of tokens, token IDs, token count, and character count, all in an instant. Discover how language models process text with our user-friendly and intuitive tool.

Check out the live version at LLM Tokenizers.

Key Features

  • Easy Text Tokenization: Enter your text and receive detailed tokenized output instantly.
  • Multiple LLM Support: Select from various large language models to see how each processes the input text.
  • Detailed Outputs: Get a comprehensive list of tokens, token IDs, token count, and character count.
  • User-Friendly Interface: Our tool is designed to be intuitive and easy to use.
  • API Access: For developers, API access is available. Visit our Swagger documentation to learn more.

Demo

If you like and find this repository useful, please consider giving me a ⭐.

Todos

  • GPT
  • Gemini
  • Claude (1; 2)
  • Claude (3; 3.5)
  • LLama
  • Mistral

About

LLM Tokenizers provides a user-friendly tool for exploring how large language models tokenize text. Enter your text, choose a model, and get detailed tokenized outputs including tokens, token IDs, token count, and character count. API access with Swagger documentation is available for developers.

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