Music Recognition- Song Finder is a utility app designed to identify music tracks in real-time using ACRCloud technology. It allows users to find songs via sound or humming and provides direct links to streaming platforms like YouTube and Spotify for playback.
Overview · Full Intel report in progress
Product velocity
Intense
Daily rank 🇺🇸
#76
▼1Music · free
Sentiment
4.4
13k reviews
Nemesis
Shazam: Find Music & Concerts
The App DNA
What makes this app unique?
For Music listeners looking for a quick way to identify unknown songs playing in their environment or within other apps.
What does it look like?
Key features
Identifies songs by sound within seconds using ACRCloud technology.
Allows users to find song titles by humming the melody.
Enables music identification while using other apps like Instagram, TikTok, or YouTube.
Provides links to listen to identified tracks on YouTube and Spotify.
How much does it cost?
Velocity
Intense developmentShow more...
5 versions in history. Development pace: intense.
Who built it?
英杰 李
3 apps tracked · Music
User Sentiment
What do users think recently?
How are ratings & reviews evolving?
Not enough recent reviews to extract reliable themes yet.
Read the full review analysisCompetition
Competitive landscape for Music Recognition- Song Finder
How's the Music market?
The rivals identified
By Apple
Both apps target music listeners needing real-time identification, with Shazam competing directly for the same user base through superior brand authority and a free, non-subscription model.
- Shazam provides offline identification for low-connectivity environments, while Music Recognition- Song Finder requires an active connection.
- Shazam operates on a free model without subscription gates, unlike the subscription-heavy monetization of Music Recognition- Song Finder.
Unlock the head-to-head verdict: where this rival wins, and where it loses.
Access the full report for freeThe Analyst's Read
Key takeaways for Music Recognition- Song Finder
Where is it heading?
Bottom line
While the app offers robust identification features, user feedback indicates significant dissatisfaction regarding aggressive subscription prompts and inconsistent performance.
Report last updated