A Swift UITextField subclass that adds autocomplete suggestions with customizable inline and list modes.
SearchTextField is a Swift library that provides autocomplete functionality for UITextField in iOS apps. It allows developers to easily add suggestion lists that can be triggered on focus or typing, with support for local and remote data sources. The library solves the problem of implementing custom autocomplete fields without rebuilding UI components from scratch.
iOS developers building apps that require search or input fields with autocomplete suggestions, such as search interfaces, form inputs, or data entry screens.
Developers choose SearchTextField for its ease of integration, extensive customization options, and support for both inline and list-based autocomplete modes, reducing development time compared to manual implementations.
UITextField subclass with autocompletion suggestions list
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The library subclasses UITextField, allowing developers to add autocomplete with minimal code, as shown in the simple usage example with filterStrings().
Supports themes, cell heights, fonts, and colors, with the ability to customize every aspect of the suggestions list, including headers and RTL layout, as detailed in the theme and property settings.
Includes userStoppedTypingHandler to fetch suggestions asynchronously from servers, making it suitable for dynamic autocomplete from APIs, with loading indicator integration.
Offers an inline mode where the first matched suggestion appears as a placeholder, useful for email domain autocomplete as demonstrated with startFilteringAfter.
Built on UITextField, so it's not compatible with SwiftUI without additional bridging code, limiting its use in modern iOS apps adopting SwiftUI exclusively.
Missing support for multi-select, complex animations, or custom gesture interactions, which might require manual extensions beyond the provided handlers and themes.
While CocoaPods is supported, manual installation involves just dropping a file, which might not handle dependencies or updates efficiently compared to modern package managers.