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

[[analysis-lowercase-tokenizer]]
=== Lowercase Tokenizer


The `lowercase` tokenizer, like the
<<analysis-letter-tokenizer, `letter` tokenizer>> breaks text into terms
whenever it encounters a character which is not a letter, but it also
lowecases all terms.  It is functionally equivalent to the
<<analysis-letter-tokenizer, `letter` tokenizer>> combined with the
<<analysis-lowercase-tokenfilter, `lowercase` token filter>>, but is more
efficient as it performs both steps in a single pass.


[float]
=== Example output

[source,js]
---------------------------
POST _analyze
{
  "tokenizer": "lowercase",
  "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": "quick",
      "start_offset": 6,
      "end_offset": 11,
      "type": "word",
      "position": 1
    },
    {
      "token": "brown",
      "start_offset": 12,
      "end_offset": 17,
      "type": "word",
      "position": 2
    },
    {
      "token": "foxes",
      "start_offset": 18,
      "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",
      "start_offset": 45,
      "end_offset": 48,
      "type": "word",
      "position": 8
    },
    {
      "token": "s",
      "start_offset": 49,
      "end_offset": 50,
      "type": "word",
      "position": 9
    },
    {
      "token": "bone",
      "start_offset": 51,
      "end_offset": 55,
      "type": "word",
      "position": 10
    }
  ]
}
----------------------------
// TESTRESPONSE

/////////////////////


The above sentence would produce the following terms:

[source,text]
---------------------------
[ the, quick, brown, foxes, jumped, over, the, lazy, dog, s, bone ]
---------------------------

[float]
=== Configuration

The `lowercase` tokenizer is not configurable.