FramePop AI
FramePop AI is an AI-assisted platform that transforms album cover art into platform-ready motion assets for the music industry, including Spotify Canvases, Apple Music Art, visualizers, and social media content. The platform automates video production across the entire catalog lifecycle, from new releases to back catalog, delivering professional-grade assets at scale. It supports managed, self-serve, and API-based delivery models to fit different team workflows.
- Artificial Intelligence
- Creator / Creative Economy
- Media & Entertainment
- Music Technology
- Software Only
Funding
Founders
Product
Problem
Music labels, distributors, and artists must produce motion assets for every release across multiple platforms with different specifications, including Spotify Canvas, Apple Music Art, visualizers, and social media. Creating these assets manually is time-consuming, expensive, and difficult to scale across large catalogs, leaving many releases without any video content and missing out on significant engagement and algorithmic promotion benefits.
Solution
FramePop AI provides an AI-assisted platform that automatically transforms cover art, audio, and creative direction into professional-grade video assets purpose-built for the music industry. Clients submit artwork and release assets, and the platform generates format-specific motion assets for every platform that requires them, including looping covers, full-length visualizers, and product renders. The system is designed to operate at catalog scale—not just one-off projects—and offers managed service, self-serve access, and API integration so teams can choose their preferred workflow. FramePop ensures client content remains proprietary and is never used to train AI models or generate assets for other clients.
Target Audience
Primary customers are music labels, distributors, and catalog teams who need to produce motion assets for new releases and back catalog content at scale, as well as individual artists and managers seeking professional video assets without hiring production staff.
Features
- Automated generation of multiple asset types including Spotify Canvas (9×16 loop), Apple Motion Art (1×1 + 3×4 loop), Motion Art Visualizers (16×9 full length), and Picture Motion Video
- Photorealistic product renders for physical formats including vinyl, CD, and cassette packshots
- AI-assisted animation that expands cover artwork into living, dynamic motion environments reusable across all tracks in a release
- Scalable pipeline supporting full catalog coverage from new releases to back catalog with no additional headcount required
- Multiple delivery models: managed service, self-serve platform, and API integration for automated workflows
- Client artwork and audio are never used to train AI models or generate assets for other parties