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Apps Like Akorlar for iPhone and iPad
Chords and lyrics for many songs.
The app provides chords and lyrics for hundreds of thousands of songs. Users can find songs by musician, group, or singer, and view different versions and transpositions.
Akorlar screenshots
Ranked alternatives
Showing 881–900 of 1,000 ranked alternatives.
Sangbogen
Andreas Broch
A collection of over 200 songs.
The app contains over 200 Danish songs, including children's and Christmas songs. It allows users to search for songs on YouTube and add their own lyrics to a selected list.
Rimox - AI Song Generator
Deniz Busra Ozdiyar
Generate songs with AI and lyrics
Create music using AI-generated melodies and lyrics. Choose from 30+ genres and multiple creation modes. Add vocals, instruments, and effects. Export tracks in various formats and share directly.
Barneforlaget
Christopher Thaulow-Landmark
Sing along with familiar songs
Sing along to familiar Norwegian children's songs with interactive lyrics and simple navigation. Choose from a curated collection of tracks designed for early music learning. Adjust volume and playback speed. Save favorite songs.
Capo
SuperMegaUltraGroovy, Inc.
Learn songs without tabs or music.
The app guesses beats, chords, and key of songs to help users break them down. Users can slow down playback, scrub to hear specific notes, and create regions that loop to learn tricky parts.
K-lingo Kpop learning
Hitfire Production AB
Sing along with -pop songs to learn
Learn Korean through -pop songs and lyrics. Tap to repeat phrases, translate words, and practice pronunciation. Track progress with quizzes and listening exercises. Sync with Apple Health to monitor streaks.
AI Musicer：AI Suno音乐生成Q版MV创作软件
CORY SMITH
Generate songs from lyrics or keywords
Create music by inputting lyrics or keywords to generate melodies and arrangements. Customize chord progressions, rhythms, and instrumentation. Generate emotionally resonant lyrics based on mood keywords. Support lyrics in 20+ languages.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.