Tonal app icon

Apps Like Tonal for iPhone and iPad

by International Classical Music Database★ 0.00 ratingsMusicFreeData updated 2026-09-06

Tonal screenshots

Ranked alternatives

Showing 381–400 of 1,000 ranked alternatives.

  1. Metadatics app icon

    Metadatics

    Mark Verstraete

    Edit audio metadata with precision.

    The app is an audio metadata editor for macOS. It allows users to batch-edit tags, look up missing information, rename files, and reshape metadata with built-in tools.

    ★ 0.00 ratingsMusic$14.99Data updated 2026-10-02
  1. Tag Stripper app icon

    Tag Stripper

    Mark Verstraete

    Strips metadata from audio files.

    The app removes all metadata from supported audio file formats by rebuilding a fresh copy containing only the audio. It supports AIF, WAV, FLAC, M4A, MP4, MP3, AAC, AC3, and CAF audio files.

    ★ 0.00 ratingsMusicFreeData updated 2026-09-19
  2. music player-NePLAYER Lite app icon

    music player-NePLAYER Lite

    radius co., ltd.

    Play high-res audio files and visualize sound

    Play high-resolution audio files including FLAC, WAV, ALAC, and DSD up to 32bit/768kHz. Display real-time visualizers for playback quality. Support DSD playback via DoP and PCM, with PCM conversion at 705.6kHz sampling rate.

    ★ 4.336 ratingsMusicFreeData updated 2026-09-10
  3. iLove Music Converter app icon

    iLove Music Converter

    Sichuan Ailefu Software Co., Ltd

    Convert audio files between formats.

    The app converts audio files between various formats. Users can select input and output formats, then adjust parameters like bit rate and sample rate before conversion.

    ★ 0.00 ratingsMusicFreeData updated 2026-10-25
  4. FLACTunes app icon

    FLACTunes

    恒卓 刘

    Convert FLAC files to iTunes

    The app converts FLAC files to MP3 or M4A formats for iTunes. It also supports Apple Lossless format and Apple Silicon architecture.

    ★ 0.00 ratingsMusicFreeData updated 2026-10-17

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.