How SongSurf Works
Community-driven playlist curation for Spotify
Requires a Spotify account to manage playlists
Sign In With Spotify & Define Your Criteria
Sign in with your Spotify account to access your playlists. Then describe exactly what music fits your space. Be as detailed and specific as you want.
Simple criteria:
"High-energy workout music, no ballads"
Detailed criteria:
"High-energy workout music. Rock, hip-hop, EDM, and pop with strong beats. Fast tempo (140+ BPM preferred), motivational lyrics. Profanity is fine, but filter out anything with graphic sexual content, violence, or hateful themes."
Community Submits Songs
Display your QR code. Members scan it, search Spotify, and submit songs. No app download, no account required.
AI Performs Comprehensive Analysis
Every submission is analyzed against your criteria before being added. The AI evaluates multiple dimensions:
Genre, subgenre, instrumentation, production style
BPM, intensity, danceability, overall energy level
Explicit language, themes, subject matter, tone
Emotional tone, vibe, appropriateness for context
Artist reputation, similar tracks, genre consistency
Holistic match against your specific criteria
The analysis happens in seconds. Songs that match are approved; songs that don't are filtered out. You can always review and override any decision.
Stay in Control
Every submission is tracked. Review decisions, override when needed, and adjust your criteria anytime.
See every song submitted, why it was approved or rejected, and when.
Disagree with the AI? Approve or reject any submission with one click.
Auto Mode: AI-approved songs are added instantly. Great for bars and gyms.
Manual Review: You approve every song first. Best for events and brand-sensitive spaces.
Example
A member submits "Lose Yourself" by Eminem to your gym playlist
→ They scan QR code, search Spotify, tap submit
→ AI analyzes: High energy ✓ Fast tempo ✓ Not overly explicit ✓
→ Song automatically added to your Spotify playlist
→ Member gets instant confirmation. You did nothing.