# Free Text Search

Hyperspace queries support free text search using the `standard` analyzer. This analyzer includes the following functionalities 

* **Tokenization -** Splits text into individual terms based on whitespace and punctuation, using the "standard tokenizer."
* **Lowercasing -** Converts all tokens to lowercase.
* **Removing Punctuation** - Strips most punctuation from the tokens.
* **Removing Accents -** Strips accents from characters (e.g., é becomes e).

Currently, only the English stemmer is supported.

**Example**

```json
{
  "query": {
    "bool": {
      "match": {
          "content": "The naïve approach to text search can be sufficient in many cases" 
        }
    }
  }
}
```

In the above example, the text will converted to the following list of keywords

```python
["The", "naive", "approach", "to", "text", "search", "can", "be", "sufficient", "in", "many", "cases"]
```

These keywords will then be matched with the field "content" of database documents.