# Token Counter Visualizer

> Count tokens and see how the o200k_base tokenizer splits your text. Paste text for a visual token breakdown in your browser.

- **Source:** DevDreaming (https://devdreaming.com)
- **Canonical URL:** https://devdreaming.com/tools/token-counter-visualizer
- **Category:** AI & LLM Tools
- **Price:** Free - no signup

---

## What this tool does

The Token Counter Visualizer counts tokens in text and shows how the tokenizer splits it. Paste or type text to see the live token count and character count, then inspect the colored token chunks below. Hover over a chunk for its numeric token ID.

The tool uses the o200k_base encoding. Token counts may differ for models that use another encoding. For long inputs, the total still counts the full text while the visualization shows the first 2,000 tokens.

An example cost card multiplies the count by the rates displayed there; those figures are illustrative rather than current model pricing. Tokenization runs in your browser, with no signup or text upload.

## How to use it

1. Type or paste your text into the Text content box.
2. Read the Token Count card, which updates live with the token total and the raw character count.
3. Check the example cost card for illustrative input and output totals at its displayed rates.
4. Scroll to the Token Visualization section to see the text split into individual colored token chunks.
5. Hover over any chunk to see its numeric token ID in the tooltip.

**[Open the Token Counter Visualizer tool ->](https://devdreaming.com/tools/token-counter-visualizer)**

This tool runs in your browser and cannot be operated from this Markdown copy - open the link above to use it.

## What you can use it for

- Checking whether a prompt fits inside a model's context window before sending an API request.
- Comparing example cost totals for two versions of a prompt at the displayed rates.
- Understanding why a short string costs more tokens than expected, for example with unusual punctuation or non-English text.
- Trimming a long prompt down to a target token budget while editing.
- Learning how byte-pair encoding splits words, whitespace, and symbols into tokens.
- Comparing how rewording a prompt changes its token count.

## Key features

- Live token counting with the o200k_base encoding.
- Color-coded visualization of the first 2,000 token chunks while counting the full input.
- Per-token IDs shown on hover for inspecting tokenizer output.
- Illustrative input and output cost calculations at the displayed rates.

## Frequently asked questions

### What is a token counter?

A token counter measures how many tokens a piece of text uses when processed by a language model. Models do not read characters or words directly; they read tokens, so the token count determines context usage and API cost.

### How does the token counter visualizer count tokens?

It encodes your text with o200k_base and counts the resulting tokens. The visualization shows the first 2,000 tokens as colored chunks so you can inspect where the splits fall; the total includes the full input.

### Why is my token count higher than my word count?

Tokenizers split text into sub-word pieces, and whitespace, punctuation, rare words, and non-English characters often become multiple tokens. As a rough guide, English text averages around four characters per token, so token counts usually exceed word counts.

### Will this token count match every AI model?

No. This tool uses o200k_base. A model that uses a different encoding can split the same text differently, and a full API request may add tokens outside the text entered here.

### How is the example token cost calculated?

The tool multiplies the current token count by the example input and output rates shown on the card. For an actual budget, check your provider's current rates and account for all prompt and completion tokens.

### Is my text sent to a server when counting tokens?

No. Tokenization runs entirely in your browser using a JavaScript tokenizer library. The text you paste stays on your machine and is never uploaded.

## Privacy

All tools on DevDreaming run entirely in your browser - your input is never uploaded to a server.

---

## Related on DevDreaming

- [All Free Developer Tools](https://devdreaming.com/tools)
- [AI & LLM Tools](https://devdreaming.com/tools/category/ai)
- [LLM API Pricing Calculator](https://devdreaming.com/tools/llm-api-pricing-calculator)

---

_This is the Markdown twin of a page on **DevDreaming** - free developer tutorials, tools, and AI resources. Source of truth: the canonical HTML URL above._