---
title: Standard tokenizer
description: The standard tokenizer provides grammar based tokenization (based on the Unicode Text Segmentation algorithm, as specified in Unicode Standard Annex #29)...
url: https://www.elastic.co/elastic/docs-builder/docs/3016/reference/text-analysis/analysis-standard-tokenizer
products:
  - Elasticsearch
---

# Standard tokenizer
The `standard` tokenizer provides grammar based tokenization (based on the Unicode Text Segmentation algorithm, as specified in [Unicode Standard Annex #29](https://unicode.org/reports/tr29/)) and works well for most languages.

## Example output

```json

{
  "tokenizer": "standard",
  "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

The `standard` tokenizer accepts the following parameters:
<definitions>
  <definition term="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`.
  </definition>
</definitions>


## Example configuration

In this example, we configure the `standard` tokenizer to have a `max_token_length` of 5 (for demonstration purposes):
```json

{
  "settings": {
    "analysis": {
      "analyzer": {
        "my_analyzer": {
          "tokenizer": "my_tokenizer"
        }
      },
      "tokenizer": {
        "my_tokenizer": {
          "type": "standard",
          "max_token_length": 5
        }
      }
    }
  }
}


{
  "analyzer": "my_analyzer",
  "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone."
}
```

The above example produces the following terms:
```text
[ The, 2, QUICK, Brown, Foxes, jumpe, d, over, the, lazy, dog's, bone ]
```