Lowest price: Free 2 months ago (-100%)
This app uses AI to separate any song into its individual components like vocals, drums, and bass directly on your device. It offers various AI models for different separation needs and saves extracted stems to iCloud Drive for easy access. Process audio privately and offline after an initial model download.
2.0.2
July 16, 2026
Bug fixes and performance improvements
$39.99
Five thousand Semitones
Pennylane, Liverpool
SplitFire utilizes advanced AI models that run entirely on your device to analyze and isolate different components of a song, such as vocals, drums, bass, and other instruments. This on-device processing ensures your audio data remains private and secure.
Yes, after an initial one-time download of the AI models, SplitFire can process audio and separate stems completely offline. This makes it a convenient tool for users who may not always have reliable internet access.
SplitFire is designed to work with a wide range of common audio file formats, including MP3, WAV, FLAC, M4A, AAC, and OGG. This broad compatibility ensures you can import most of your existing music library for separation.
The extracted stems are saved as WAV files to a dedicated SplitFire folder within your iCloud Drive. This allows for seamless syncing across your iPhone, iPad, and Mac, and you can easily access them in the Files app or import them into your Digital Audio Workstation (DAW).
No, SplitFire does not contain advertisements. The app is completely free to use and focuses on providing a clean, uninterrupted audio processing experience for its users.
SplitFire has an age rating of 4+. This indicates that the app is suitable for users of all ages and does not contain content that would be considered inappropriate for children.
The latest version of SplitFire, 2.0.2, was released on July 16, 2026. While specific update frequency isn't detailed, the release date suggests ongoing development and support from the developer, Splitfire AB.
SplitFire offers users a choice of AI models for audio separation. You can select a fast 4-stem model for quick processing, a fine-tuned model for improved accuracy, or a more comprehensive 6-stem separation for detailed results.
