AI-powered book playlist generator that creates custom reading soundtracks matched to any book's mood and atmosphere
Learn to read music by playing it on a MIDI keyboard
Stage
Not given
MVP
Founded
Not given
Not given
Based in
Not given
GB
Pricing model
Free
Freemium
Pricing
Not given
Free: Beginner lessons, Note Flashcards, Blitz game, daily Cascade challenge, Pop Loop jam session, and 4 playable pieces. MidiSlayer full version: $49.99 USD one-time purchase (prices vary by country in local currency).
Key features
AI book analysis to match music to mood and themes
Spotify track verification and playlist creation
Reading Room with timer and ambient sounds
Customizable mood, era, and instrumental-to-vocal mix controls
Support for any book title including indie and niche titles
Library card tracking pages, minutes, reading pace and daily streak
Browse and save featured playlists from other readers
No Spotify account required to generate playlists
MIDI keyboard input with real-time feedback
Interactive beginner lessons from basic note identification to reading both clefs
Note flashcard training with adaptive difficulty
Library of 69 classical pieces at varying difficulty levels
MusicXML file import for custom sheet music
Wait and Tempo modes for learning pieces at your pace or with a metronome
Arcade games including Blitz and Cascade
Exam mode with skill-based ranks and timed challenges
Progress tracking and performance analytics
Offline use after one-time license activation
What makes it different
Completely free AI-powered service with no account needed to generate
Works for any book including classics, indie titles, and BookTok favorites
Integrated reading timer and ambience for distraction-free reading experience
Customizable controls for mood, music era, length, and instrumental-vocal balance
Buy once with no subscription; perpetual license with all updates through v1 included
MIDI input provides exact note detection unlike acoustic microphone-based systems
Works on four platforms: macOS, Windows, Linux and iPad
Adaptive algorithm adjusts difficulty based on what you miss vs. nail