Analyzer reference

Elasticsearch ships with a wide range of built-in analyzers, which can be used in any index without further configuration:

Standard Analyzer

The standard analyzer divides text into terms on word boundaries, as defined by the Unicode Text Segmentation algorithm. It removes most punctuation, lowercases terms, and supports removing stop words.

Simple Analyzer

The simple analyzer divides text into terms whenever it encounters a character which is not a letter. It lowercases all terms.

Whitespace Analyzer

The whitespace analyzer divides text into terms whenever it encounters any whitespace character. It does not lowercase terms.

Stop Analyzer

The stop analyzer is like the simple analyzer, but also supports removal of stop words.

Keyword Analyzer

The keyword analyzer is a noop analyzer that accepts whatever text it is given and outputs the exact same text as a single term.

Pattern Analyzer

The pattern analyzer uses a regular expression to split the text into terms. It supports lower-casing and stop words.

Language Analyzers

Elasticsearch provides many language-specific analyzers like english or french.

Fingerprint Analyzer

The fingerprint analyzer is a specialist analyzer which creates a fingerprint which can be used for duplicate detection.

If you do not find an analyzer suitable for your needs, you can create a custom analyzer which combines the appropriate character filters, tokenizer, and token filters.