Chord ai vs MuScriptor

Chord ai is a mobile app that recognizes chords and beats in songs, helping listeners follow music or learn to play it. Songs can be loaded from YouTube, SoundCloud, audio files, or a device microphone. The app detects chords, tracks beats and downbeats, displays tempo and song structure, and infers a song's key; it also shows guitar, piano, and ukulele chord diagrams. Microphone input can identify chords in real time. The maker describes on-device deep learning, with audio files and microphone input analyzed on the phone. The free plan provides basic features with unlimited free use. Chord ai Pro adds recognition of more than 700 chords, voicing and position suggestions, unlimited saved songs, PDF transcription export, score editing, and WAV export of bass, drums, vocals, and other stems. Other Pro tools include pitch shifting, alternate tunings, smart capo suggestions, and processing audio or video up to one hour at once. Pro costs $9 a month or $69 a year, with prices depending on App Store country. The app is available on Android and iOS, and the maker does not provide API access to its technology.

MuScriptor turns audio recordings into MIDI and sheet music, with downloadable MIDI files, sheet-music PDFs, and guitar-tab PDFs from its hosted service. The web demo accepts MP3, WAV, FLAC, OGG, M4A, AIFF, and Opus files. It can transcribe voice, piano, guitars, bass, strings, brass, woodwinds, drums, and other instruments, and users can specify which instruments they expect to improve transcription accuracy. Guitar and bass parts can include tablature alongside standard notation, but the system does not produce chord symbols. MusicXML output can be edited in MuseScore, Sibelius, or Guitar Pro. Users can self-host the web interface, and transcription is also available through a CLI and Python API. Local use requires Hugging Face authentication and acceptance of the model's CC BY-NC 4.0 license. Hosted audio is processed on the server and not retained afterwards; local use keeps audio on the user's machine. The service says it performs better on acoustic and guitar music than electronic music, and that results are not perfect. The hosted demo is free; the code is MIT-licensed, while model weights carry the non-commercial license.