Epidemic Sound's AI finds the right soundtrack for your video

Finding the right background track for a video is easily one of the biggest time sinks in editing.

Epidemic Sound just launched Soundmatch, an AI tool designed to automate that entire process in a few seconds.

Matching tracks to video pixels

Instead of making you dig through mood tags, Soundmatch lets you upload a rough cut and drop a marker right where you need music. Hit the button, and you instantly get a list of matching recommendations.

Under the hood, the tool analyzes the visual content of the shot to generate keywords for semantic search.

It then pairs those keywords with insights drawn from over 2.5 billion daily YouTube views across videos featuring Epidemic Sound tracks, figuring out what audio styles actually work with specific visual setups at scale.

Why it matters

For video creators and editors, this could wipe out hours of tedious library browsing. Getting a solid baseline track with one click makes it well worth testing on your next edit.

Epidemic Sound's strategy looks quite clever here. Instead of chasing generative AI that spits out synthetic audio, they are using AI strictly to make their existing catalog vastly more searchable. By tapping into billions of real-world YouTube views, they create a data moat that few stock audio platforms can match.

The catch is that visual recognition can only understand what is on screen, not the emotional subtext or exact pacing of a scene, meaning editors will still need to apply human taste.