OpenSearch/docs/reference/analysis/tokenizers/whitespace-tokenizer.asciidoc

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[[analysis-whitespace-tokenizer]]
=== Whitespace Tokenizer
The `whitespace` tokenizer breaks text into terms whenever it encounters a
whitespace character.
[float]
=== Example output
[source,js]
---------------------------
POST _analyze
{
"tokenizer": "whitespace",
"text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}
---------------------------
// CONSOLE
/////////////////////
[source,js]
----------------------------
{
"tokens": [
{
"token": "The",
"start_offset": 0,
"end_offset": 3,
"type": "word",
"position": 0
},
{
"token": "2",
"start_offset": 4,
"end_offset": 5,
"type": "word",
"position": 1
},
{
"token": "QUICK",
"start_offset": 6,
"end_offset": 11,
"type": "word",
"position": 2
},
{
"token": "Brown-Foxes",
"start_offset": 12,
"end_offset": 23,
"type": "word",
"position": 3
},
{
"token": "jumped",
"start_offset": 24,
"end_offset": 30,
"type": "word",
"position": 4
},
{
"token": "over",
"start_offset": 31,
"end_offset": 35,
"type": "word",
"position": 5
},
{
"token": "the",
"start_offset": 36,
"end_offset": 39,
"type": "word",
"position": 6
},
{
"token": "lazy",
"start_offset": 40,
"end_offset": 44,
"type": "word",
"position": 7
},
{
"token": "dog's",
"start_offset": 45,
"end_offset": 50,
"type": "word",
"position": 8
},
{
"token": "bone.",
"start_offset": 51,
"end_offset": 56,
"type": "word",
"position": 9
}
]
}
----------------------------
// TESTRESPONSE
/////////////////////
The above sentence would produce the following terms:
[source,text]
---------------------------
[ The, 2, QUICK, Brown-Foxes, jumped, over, the, lazy, dog's, bone. ]
---------------------------
[float]
=== Configuration
The `whitespace` tokenizer is not configurable.