Stack

AI-powered song segmentation tool for sync agencies

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AI Song Segmentation

AI Song Segmentation

Music Analysis

Music Analysis

Project Image

AI Song Segmentation

Music Analysis

Project Overview

Stack is an AI-powered song segmentation tool built for sync companies, helping teams instantly understand the structure of music tracks and automatically find the right moments for placements to be synced with motion pictures and visuals.

The Challenge

Sync teams work under tight deadlines and manage vast music catalogs. Manually listening through full tracks to identify usable sections - intros, builds, drops, hooks - is time-consuming and inefficient, making it hard to respond quickly to briefs and limiting the number of tracks that can be evaluated.

Stack is currently under *private beta*. Schedule a demo with us for a trial session of our song segmentation API.

01
Challenge

Manually inferring song structure doesn’t scale with growing catalogs.

01
Challenge

Manually inferring song structure doesn’t scale with growing catalogs.

01
Challenge

Manually inferring song structure doesn’t scale with growing catalogs.

02
Solution

Stack automatically segments songs and generates structured section metadata using AI.

02
Solution

Stack automatically segments songs and generates structured section metadata using AI.

02
Solution

Stack automatically segments songs and generates structured section metadata using AI.

03
Result

Sync teams review more tracks, respond faster to briefs, and place music more efficiently.

03
Result

Sync teams review more tracks, respond faster to briefs, and place music more efficiently.

03
Result

Sync teams review more tracks, respond faster to briefs, and place music more efficiently.

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