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Elasticsearch ships with a wide range of built-in analyzers, which can be used in any index without further configuration:
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.
The simple analyzer divides text into terms whenever it encounters a character which is not a letter. It lowercases all terms.
The whitespace analyzer divides text into terms whenever it encounters any whitespace character. It does not lowercase terms.
The stop analyzer is like the simple analyzer, but also supports removal of stop words.
The keyword analyzer is a “noop” analyzer that accepts whatever text it is given and outputs the exact same text as a single term.
The pattern analyzer uses a regular expression to split the text into terms. It supports lower-casing and stop words.
Elasticsearch provides many language-specific analyzers like english or french.
The fingerprint analyzer is a specialist analyzer which creates a fingerprint which can be used for duplicate detection.
Custom analyzers
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.
