Tokenize Text

The Tokenize Text Tool lets you split text into tokens easily. Customize your separator, decide whether to preserve punctuation, and optionally lowercase everything. Quickly tokenize sentences, lists, paragraphs, or raw text and copy or export the result.

Paste your input above or import a file below.
No file chosen
Supported file type: text/plain (.txt)
Total tokens: 0
Options
Preserve Punctuation
Lowercase Tokens

How to Use:

  1. Paste your text into the Input Text box or import a .txt file.
  2. Adjust Options:
    • Set a custom Separator (leave blank to split by spaces).
    • Toggle Preserve Punctuation if you want punctuation treated as separate tokens.
    • Toggle Lowercase Tokens to make all tokens lowercase.
  3. Click Tokenize to process the text instantly.
  4. View the tokenized output line-by-line in the Output area.
  5. Use Copy Output to copy results or Export to File to download them.
  6. Clear All to reset the tool for a new input.

Feature Guide:

  • Custom Separator: Enter any character(s) to split your tokens (space, comma, pipe, etc.).
  • Preserve Punctuation: When enabled, punctuation marks like commas, periods, and exclamation points are treated as individual tokens.
  • Lowercase Tokens: Automatically convert all tokens to lowercase for uniformity.
  • Live Token Counter: Displays total number of tokens generated.
  • File Import: Supports .txt files for quick loading of input.
  • Copy and Export: Copy results to clipboard or export directly to a .txt file.

Useful Combinations:

  • Use Preserve Punctuation + Space Separator for natural language processing prep.
  • Use Lowercase Tokens + Custom Separator for consistent dataset formatting.

Example:

Input Text:

Hello, World! Let's tokenize this text.

Options:

  • Separator: (blank for spaces)
  • Preserve Punctuation: ON
  • Lowercase Tokens: ON

Output:

hello
,
world
!
let's
tokenize
this
text
.

Total tokens: 9

Common Use Cases:

The Tokenize Text Tool is perfect for preparing text for NLP (Natural Language Processing), analyzing documents, splitting lists, cleaning raw input, or formatting strings for database insertion. It supports both basic and advanced tokenization needs with custom settings for ultimate flexibility.

Useful Tools & Suggestions:

Once you’ve tokenized your text, Lemmatize Text helps refine each token to its base dictionary form great for cleaning up variations. And if you’re exploring patterns or frequency, Create a Word Cloud gives you a quick, visual snapshot of the most common terms.

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