elasticsearch/docs/reference/data-analysis/text-analysis/analysis-whitespace-tokenizer.md
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Co-authored-by: Liam Thompson <32779855+leemthompo@users.noreply.github.com>
Co-authored-by: Liam Thompson <leemthompo@gmail.com>
Co-authored-by: Martijn Laarman <Mpdreamz@gmail.com>
Co-authored-by: István Zoltán Szabó <szabosteve@gmail.com>
2025-02-27 17:56:14 +01:00

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---
navigation_title: "Whitespace"
mapped_pages:
- https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-whitespace-tokenizer.html
---
# Whitespace tokenizer [analysis-whitespace-tokenizer]
The `whitespace` tokenizer breaks text into terms whenever it encounters a whitespace character.
## Example output [_example_output_19]
```console
POST _analyze
{
"tokenizer": "whitespace",
"text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}
```
The above sentence would produce the following terms:
```text
[ The, 2, QUICK, Brown-Foxes, jumped, over, the, lazy, dog's, bone. ]
```
## Configuration [_configuration_22]
The `whitespace` tokenizer accepts the following parameters:
`max_token_length`
: The maximum token length. If a token is seen that exceeds this length then it is split at `max_token_length` intervals. Defaults to `255`.