Chord ai vs MusicLM

Chord ai detects chords, beats, and song keys from audio using deep learning on your phone. Load a track from YouTube, SoundCloud, local files, or your microphone and get chord charts with guitar, piano, or ukulele diagrams, plus tempo and bar segmentation from beat tracking.

Static chord websites give you crowd-sourced guesses that miss jazz extensions and altered dominants. Chord ai runs models on-device for seventh chords, diminished, and augmented shapes, and Pro adds 4-stem separation (bass, vocals, drums, other), audio-to-MIDI via Basic Pitch, and lyrics transcription through Whisper.

Musicians, cover artists, and students use it to learn songs by ear without hunting tabs online. The base app is free on iOS and Android with over 500,000 users; Chord ai Pro costs about $9 per month or $69 per year in the US via app store subscriptions.

MusicLM is a Google Research audio generation model that creates music from text captions at 24 kHz. The public examples page hosts sample clips for prompts like arcade soundtracks, reggaeton-EDM fusions, and relaxing jazz, plus longer story-mode generations that shift styles across timed segments. Google released the MusicCaps dataset of 5,500 music-text pairs alongside the paper.

Unlike consumer apps that ship one prompt box, MusicLM was published as a research demo with pre-generated samples rather than a login product. Its headline trick is joint text-and-melody conditioning: you can hum or whistle a tune and have the model re-render it in a new genre described in text. Story mode chains multiple captions so the music evolves across sections.

MusicLM matters as the research foundation behind Google's later Lyria music models, but this page is for listening to published examples, not creating new tracks interactively. Researchers and musicians study it for long-form consistency, painting-to-music conditioning, and melody transfer results documented in the 2023 paper.