# Improve Search Accuracy with Manticore's Fuzzy Search

Fuzzy search is a robust feature in Manticore Search that enables approximate string matching, helping users find relevant results even with misspellings or variations.

## What is Fuzzy Search?

Fuzzy search allows matches to be found even when users make typos or enter slightly different terms. It's ideal for situations where spelling errors or variations might hinder exact matches. In Manticore Search, enabling fuzzy search is simple — use the SQL/JSON search option `fuzzy=1` or activate it.

## When to use Fuzzy Search?

- Handle user input that includes typos or misspellings
- Search for names or terms with multiple spellings
- Process OCR-generated text that may contain errors
- Search through user-generated content with possible spelling mistakes
- Create a forgiving search interface to enhance user experience
- Search for technical terms or jargon that users may mistype
- Match similar but not identical phrases
- Search multilingual content with variations in transliteration
- Process search queries for products with complex or commonly misspelled names
- Boost search recall when precision can be relaxed


## Why Manticore Search is good for Fuzzy Search

- It's easy to implement with Manticore Search - just add `fuzzy=1` to your SQL or JSON query.
- Fuzzy search helps improve user experience by finding relevant results even when the input isn't perfect.
- It can increase the recall of your search results without significantly impacting precision.
- Manticore's fuzzy search is configurable, allowing you to adjust the fuzziness level to suit your needs.


## Pros

- Easy to implement with a simple option in SQL or JSON queries
- Improves user experience by handling typos and misspellings
- Increases search recall without significantly impacting precision
- Configurable fuzziness level for fine-tuning
- Can be combined with other Manticore Search features for powerful, flexible searching
- Works well with both short queries and longer phrases


## Cons

- May slightly increase search time compared to exact matching
- Can potentially return irrelevant results if not properly tuned
- Might require careful balancing with other search features for optimal results
- Not suitable for all types of data or search scenarios


## How to get started

### Install Manticore Search

- Follow the [installation instructions](/install) for your operating system
- Alternatively, use Docker: `docker pull manticoresearch/manticore:latest`


### Set up your Manticore Search table

- Create a table
- Configure full-text fields and attributes
- Index your data using the appropriate method (SQL, JSON, CSV, etc.)


### Implement fuzzy search

- Using SQL syntax: Add `fuzzy=1` to your SELECT clause
- Using HTTP JSON interface: Include the `fuzzy` parameter in your search request


### Fine-tune your fuzzy search

- Experiment with different fuzziness levels to balance recall and precision
- Adjust the fuzziness level `distance` if needed
- Consider combining fuzzy search with other features like quorum matching or proximity search
- Use highlighting to show where fuzzy matches occur in the results


### Enjoy Fuzzy Search

- Experience improved search results even with imperfect user input
- Monitor search performance and user satisfaction
- Feel free to [create an issue](https://github.com/manticoresoftware/manticoresearch/) if you encounter any problems
- Consider our [professional services](/services/) for advanced implementations


## Resources

- [Fuzzy Search Demo](https://github.manticoresearch.com/manticoresoftware/manticoresearch?query=joned&filters%5Bcomment%5D%5B%5D=28798446&filters%5Bcommon%5D%5Brepo_id%5D%5B%5D=95614931&sort=&search=keyword-search-fuzzy-layouts)
- [Manticore Search Documentation](https://manual.manticoresearch.com/Searching/Spell_correction#Fuzzy-Search)
- [SQL Syntax for Fuzzy Search](https://manual.manticoresearch.com/Searching/Spell_correction#SQL)
- [HTTP JSON Interface for Fuzzy Search](https://manual.manticoresearch.com/Searching/Spell_correction#JSON)


## Learn more about other use cases

Do not stop here when learning when you need **AI Database** and how **Manticore Search** can help you. There are many other use cases that you can explore.


## Implement Fuzzy Search with Manticore Search

Try Manticore Search for implementing Fuzzy Search in your application today!

[Install Now](/install)