SoundMatch: Using AI to Make Royalty-Free Music Search Less Painful

SoundMatch, the music category winner of the HackXelerator 2025 sprint, is an AI-driven tool developed by Birdmania to simplify the search for royalty-free music by matching the vibe of a creator's content. In response to a friend's struggle with finding suitable tracks, Birdmania developed a minimum viable product (MVP) within 20 days using Python and FastAPI, integrating AcoustID for audio fingerprinting, Jamendo for music sourcing, and Gemini Pro for AI-powered mood matching. The MVP allows users to search by artist or track name, upload MP3s, or use YouTube links, utilizing metadata from sources like MusicBrainz and Discogs. Despite challenges with Spotify’s API and AI prompt tuning, SoundMatch successfully provides a solution for quickly finding tracks that match the intended mood of content creators. Future development plans include expanding music sources, enhancing local audio analysis, and improving mood tagging accuracy, aiming to grow SoundMatch beyond its current form. Birdmania's solo effort and focus on functionality led to a successful project that addresses a common pain point for creators.

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