AHA Music may suit listeners trying to identify a song from a recording, a tune they can hum, or a video link.
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Best Music Identification Apps 2026
When you want to identify music, recognition limits and offline identification can shape how an app fits the moment. Compare those capabilities with identification history, lyrics and listening links to see what details you can revisit or explore after a match. Platform support helps you check compatibility with your devices; free-plan availability and paid-from pricing add cost considerations. SoundHound, AHA Music and Snag are among the options shown. Use the listed comparison points to weigh how you expect to identify music and what follow-up information you want available.
SoundHound
SoundHound suits listeners who want to identify songs by listening, singing, or humming, and use voice controls for discovery and playback.
AndroidiPhone & iPadWeb+1ACRCloud
ACRCloud suits organizations that need audio recognition, monitoring, metadata, or copyright workflows across multiple platforms.
AndroidiPhone & iPadWeb+4AirScrobble
It suits iPhone and iPad users who want to identify music and optionally save or scrobble discoveries.
iPhone & iPadWebAPIAudD
AudD suits developers and businesses needing track identification in files, apps, video, or live streams.
AndroidWebBrowser extension+2Annie may suit everyday listeners, artists, playlist curators, and DJs who want to identify nearby music or share tracks across services.
WhoSampled suits listeners curious about musical connections, particularly fans of Hip-Hop, Electronic/Dance, Rock, Pop, Jazz, Funk, Soul, Reggae, and Classical.
SongRec suits Linux users who want song recognition through a desktop interface or command line.
Audible Magic is aimed at digital platforms and rights businesses that need content identification, licensing support, or rights administration.
It suits Pixel owners who want nearby music identified and saved for later.
Audile suits Android users who want to identify nearby music and keep a searchable track library.
AudioTag suits listeners, developers, and services that need to identify recorded music.
Snag suits iPhone users who want to save music-identification attempts and revisit or retry them later.
Earworm suits iOS users who remember a melody but not the song title or lyrics.
Vericast suits music-rights stakeholders who need broadcast usage monitoring, evidence, reporting, and revenue forecasting.