Text Tokenizer Guide

What does this tool do

The Text Tokenizer splits text into tokens — words, characters, or lines — and shows how often each token appears. Choose a mode (words, characters, or lines), paste your text, and get an instant count plus a frequency table sorted by occurrence. Copy tokens as comma-separated or newline-separated, copy the frequency table, or send the counts to the Statistics Calculator for deeper analysis. Useful for word counts, text analysis, and preparing data for statistical tools.

How to use it

1. Select mode — Choose Words, Characters, or Lines depending on how you want to split the text.
2. Enter or paste text — Type or paste into the input area. Use Generate dummy text to quickly fill with sample content.
3. Click Tokenize — The tool splits the text and displays token count, unique count, and a frequency table.
4. Copy results — Copy tokens in comma or newline format, or copy the frequency table (token, tab, count per line).
5. Analyze further — Click Analyze in Statistics to open the Statistics Calculator with the frequency counts pre-filled.

How it works

• Words mode — Splits on whitespace and filters empty strings. Consecutive spaces are treated as one separator.
• Characters mode — Each character is a token; spaces, tabs, and newlines are excluded.
• Lines mode — Splits on newlines (handles both \n and \r\n), trims each line, and filters empty lines.

Frequency is computed by counting each token's occurrences and sorting by count descending. Ties preserve the order of first appearance.

All computation runs entirely in your browser. No data is sent to any server.

Use cases & examples

• Word count — Get the total number of words and unique words in a document.
• Text analysis — See which words or characters appear most often.
• Data preparation — Export tokens to comma or newline format for use in spreadsheets or other tools.
• Statistics pipeline — Use "Analyze in Statistics" to compute mean, median, distribution, and percentiles on token counts.
• NLP and corpus work — Quick tokenization for small to medium texts before further processing.

Example

For input: "hello world hello" in Words mode:

• Tokens: hello, world, hello
• Frequency: hello (2), world (1)

Limitations & known constraints

• Input cap — Maximum 512KB (~512,000 characters). Larger input returns an error.
• Client-side only — No server; processing runs in the browser. Very large inputs may cause brief UI lag on slower devices.
• Simple tokenization — Words mode splits on whitespace only; no stemming, lemmatization, or language-specific tokenization.
• Characters exclude spaces — Spaces, tabs, and newlines are not counted as character tokens.