A Swift library for processing microphone input to detect pitch, frequency, and amplitude for iOS audio applications.
TuningFork is a Swift library for iOS that processes microphone input to detect pitch, frequency, and amplitude. It solves the problem of real-time audio analysis for music applications, providing developers with tools to build features like instrument tuners without low-level audio programming.
iOS developers building music, audio, or tuning applications that require real-time pitch and frequency detection from microphone input.
Developers choose TuningFork for its simplicity, reliability, and ease of integration—offering a focused audio analysis library without the overhead of more complex audio frameworks.
:musical_keyboard: Simple Tuner for iOS
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Supports CocoaPods and Carthage, making setup straightforward as shown in the README's quick start section.
Processes microphone input in real-time to identify pitch and octave, enabling live tuning applications like the Partita app.
Uses a delegate to provide continuous audio updates, simplifying data handling with minimal boilerplate code.
Offers a reliable, no-frills solution for audio analysis without the complexity of larger frameworks.
The README is sparse, providing only basic usage examples and lacking detailed API references, troubleshooting, or advanced guides.
Only covers pitch, frequency, and amplitude; missing advanced capabilities like audio file analysis, harmonic detection, or customization options.
Restricted to iOS, so not suitable for projects targeting other platforms without significant additional work or alternative libraries.