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
standardanalyzer 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
simpleanalyzer divides text into terms whenever it encounters a character which is not a letter. It lowercases all terms. - Whitespace Analyzer
- The
whitespaceanalyzer divides text into terms whenever it encounters any whitespace character. It does not lowercase terms. - Stop Analyzer
- The
stopanalyzer is like thesimpleanalyzer, but also supports removal of stop words. - Keyword Analyzer
- The
keywordanalyzer is a noop analyzer that accepts whatever text it is given and outputs the exact same text as a single term. - Pattern Analyzer
- The
patternanalyzer 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
englishorfrench. - Fingerprint Analyzer
- The
fingerprintanalyzer 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.