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Meilisearch Swift

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⚡ The Meilisearch API client written for Swift 🍎

Meilisearch Swift is the Meilisearch API client for Swift developers.

Meilisearch is an open-source search engine. Learn more about Meilisearch.

Table of Contents

📖 Documentation

For more information about this API see our Swift documentation.

For more information about Meilisearch see our Documentation or our API References.

⚡ Supercharge your Meilisearch experience

Say goodbye to server deployment and manual updates with Meilisearch Cloud. Get started with a 14-day free trial! No credit card required.

🔧 Installation

With Cocoapods

CocoaPods is a dependency manager for Cocoa projects.

Meilisearch-Swift is available through CocoaPods. To install it, add the following line to your Podfile:

pod 'MeiliSearch'

Then, run the following command:

pod install

This will download the latest version of Meilisearch pod and prepare the xcworkspace.

With the Swift Package Manager

The Swift Package Manager is a tool for automating the distribution of Swift code and is integrated into the swift compiler.

Once you have your Swift package set up, adding Meilisearch-Swift as a dependency is as easy as adding it to the dependencies value of your Package.swift.

dependencies: [
    .package(url: "", from: "0.16.0")

Run Meilisearch

There are many easy ways to download and run a Meilisearch instance.

For example, using the curl command in your Terminal:

#Install Meilisearch
curl -L | sh

# Launch Meilisearch
./meilisearch --master-key=masterKey

NB: you can also download Meilisearch from Homebrew or APT or even run it using Docker.

🎬 Getting started

To do a simple search using the client, you can create a Swift script like this:

Add documents

    import MeiliSearch

    // Create a new client instance of Meilisearch.
    // Note: You must provide a fully qualified URL including scheme.
    let client = try! MeiliSearch(host: "http://localhost:7700")

    struct Movie: Codable, Equatable {
        let id: Int
        let title: String
        let genres: [String]

    let movies: [Movie] = [
        Movie(id: 1, title: "Carol", genres: ["Romance", "Drama"]),
        Movie(id: 2, title: "Wonder Woman", genres: ["Action", "Adventure"]),
        Movie(id: 3, title: "Life of Pi", genres: ["Adventure", "Drama"]),
        Movie(id: 4, title: "Mad Max: Fury Road", genres: ["Adventure", "Science Fiction"]),
        Movie(id: 5, title: "Moana", genres: ["Fantasy", "Action"]),
        Movie(id: 6, title: "Philadelphia", genres: ["Drama"])

    let semaphore = DispatchSemaphore(value: 0)

    // An index is where the documents are stored.
    // The uid is the unique identifier to that index.
    let index = client.index("movies")

    // If the index 'movies' does not exist, Meilisearch creates it when you first add the documents.
        documents: movies,
        primaryKey: nil
    ) { result in
        switch result {
        case .success(let task):
            print(task) // => Task(uid: 0, status: Task.Status.enqueued, ...)
        case .failure(let error):

With the uid of the task, you can check the status (enqueued, canceled, processing, succeeded or failed) of your documents addition using the update endpoint.

Basic Search

do {
  // Call the search function and wait for the result.
  let result: SearchResult<Movie> = try await client.index("movies").search(SearchParameters(query: "philoudelphia"))
} catch {


 MeiliSearch.SearchResult<SwiftWork.(unknown context at $10d9e7f3c).Movie>
  ▿ hits: 1 element
    ▿ SwiftWork.(unknown context at $10d9e7f3c).Movie
      - id: 6
      - title: "Philadelphia"
      ▿ genres: 1 element
        - "Drama"
  - offset: 0
  - limit: 20
  - estimatedTotalHits: 1
  - facetDistribution: nil
  ▿ processingTimeMs: Optional(1)
    - some: 1
  ▿ query: Optional("philoudelphia")
    - some: "philoudelphia"

Since Meilisearch is typo-tolerant, the movie philadelphia is a valid search response to philoudelphia.

Note: All package APIs support closure-based results for backwards compatibility. Newer async/await variants are being added under issue 332.

Custom Search With Filters

If you want to enable filtering, you must add your attributes to the filterableAttributes index setting.

index.updateFilterableAttributes(["id", "genres"]) { result in
    // Handle Result in Closure

You only need to perform this operation once.

Note that MeiliSearch will rebuild your index whenever you update filterableAttributes. Depending on the size of your dataset, this might take time. You can track the process using the update status.

Then, you can perform the search:

let searchParameters = SearchParameters(
    query: "wonder",
    filter: "id > 1 AND genres = Action"

let response: Searchable<Meteorite> = try await
  "hits": [
      "id": 2,
      "title": "Wonder Woman",
      "genres": ["Action","Adventure"]
  "offset": 0,
  "limit": 20,
  "nbHits": 1,
  "processingTimeMs": 0,
  "query": "wonder"

🤖 Compatibility with Meilisearch

This package guarantees compatibility with version v1.x of Meilisearch, but some features may not be present. Please check the issues for more info.

💡 Learn more

The following sections in our main documentation website may interest you:

⚙️ Contributing

Any new contribution is more than welcome in this project!

If you want to know more about the development workflow or want to contribute, please visit our contributing guidelines for detailed instructions!

📜 Demos

To try out a demo you will need to go to its directory in Demos/. In that directory you can either:

  • Open the SwiftPM project in Xcode and press run, or
  • Run swift build or swift run in the terminal.


Please check the Vapor Demo source code here.


Please check the Perfect Demo source code here.

Meilisearch provides and maintains many SDKs and Integration tools like this one. We want to provide everyone with an amazing search experience for any kind of project. If you want to contribute, make suggestions, or just know what's going on right now, visit us in the integration-guides repository.