AI Tokenizer & Token ID Visualizer — Tech Help Tools
Xenova/all-MiniLM-L6-v2 via client-side Transformers.js. Your input text is never uploaded, stored, or transmitted to any server.AI Token Visualizer
Explore how Large Language Models split text into tokens and numerical Token IDs in real time.
How do AI Tokens and Embeddings Work?
When you talk to Large Language Models (LLMs) like ChatGPT, Claude, or Llama, they don't actually process text word-by-word or character-by-character. Instead, they break down your text into smaller pieces called Tokens.
What is a Token?
A token can be a full word, a syllable, or even just a single character. For example, common words like "apple" might be one token, but complex words are split into several smaller tokens. The tokenizer assigns a unique integer ID to each piece.
What is an Embedding?
Once text is tokenized, it is converted into high-dimensional vectors known as Embeddings. An embedding is a list of numbers capturing semantic meaning, allowing AI to understand context and intent.
100% Private & Local
This visualizer uses a lightweight Machine Learning model in your browser cache. All tokenization and embedding generation happens locally on your device without sending data to external servers.