optonaut/ActiveLabel.swift
ActiveLabel.swift
ActiveLabel.swift is a rich text parsing library and interactive text label for iOS. It functions as a replacement for standard labels, identifying specific text patterns within strings and applying distinct visual styles to recognized entities.
The project enables the detection and highlighting of hashtags, mentions, and URLs using a custom regular expression text recognizer. It allows for the definition of project-specific text patterns and uses predicate-based filtering to determine if detected entities should be highlighted or ignored.
The system manages user interaction through entity tap handling, which triggers callback functions when users interact with recognized elements. It also includes utilities for URL management, such as truncating long web addresses to maintain layout consistency.
Features
- Text Highlighting Components - Implements a specialized UI component for identifying and styling social patterns and web addresses in mobile interfaces.
- Regex Pattern Matching - Identifies hashtags, mentions, and URLs by matching text strings against a collection of regular expression patterns.
- UI Element Callbacks - Executes predefined closure functions when users tap recognized interactive entities within the text.
- Entity Visualizations - Visually highlights identified semantic entities like hashtags and links within text for user interaction.
- Attributed Text Interaction - Enables specific actions, such as opening links, when users tap attributed text entities within a flow.
- Regex Text Recognizers - Provides a system for defining regular expression patterns to identify and style project-specific text elements.
- Rich Text Rendering - Identifies specific text patterns within strings and applies distinct visual styles to the recognized entities.
- Text Attribute Styling Systems - Implements a system for mapping detected text entities to native attributed string styles for visual differentiation.
- Text Highlighting Utilities - Provides logic for identifying and styling specific patterns of text within a Swift user interface.
- Text Labels - Provides an enhanced label component that detects and highlights hashtags, mentions, and URLs using regular expressions.
- Entity Callback Handlers - Provides a mechanism to execute predefined callback functions when users interact with recognized hashtags, mentions, URLs, or emails.
- Custom Entity Recognizers - Provides custom rules to evaluate whether recognized hashtags and mentions should be highlighted.
- Data Detection Patterns - Automatically identifies social patterns like hashtags and mentions in strings to enable distinct styling.
- Predicate-Based Filtering - Uses boolean logic predicates to determine whether detected text entities should be highlighted or ignored.
- Interactive Link Highlighting - Recognizes web addresses in text and marks them as interactive elements through visual highlighting.
- UIKit Component Subclassing - Extends the standard UILabel to integrate custom parsing and interaction logic while preserving layout constraints.
- Entity Pattern Definitions - Allows the definition of project-specific text patterns using custom regular expressions for entity recognition.
- Social Media Text Styling - Styles mentions and hashtags within Swift text labels to make them visually distinct and interactive.
- Labels - Label supporting hashtags, mentions, and URLs.
- Text Display Components - Supports hashtags, mentions, and URLs within standard labels.
- Text Labels - Label replacement with support for interactive hashtags.
- UI Components - Label replacement supporting hashtags, mentions, and URLs.
Star history
How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
