BandLab Licensing

Your songs in the spotlight.
License and earn.

Make your songs eligible for use in TV, film, games, apps, AI training*, and more. We'll help find the right placements, so you can start earning in new ways.

*AI training licensing is handled differently from traditional BandLab Licensing. Expression of interest in AI training licensing does not grant BandLab any rights to use or license your song for AI training.

Unlock your songs' potential. Your music could soon be the soundtrack to your favorite show or game! Make it available for licensing to reach new audiences and get paid.

A lady listening music on her laptop

Expand your possibilities.
Become eligible.

BandLab Licensing's mission is to work with top music supervisors to place your songs in TV shows, movies, online videos, commercials, games, and the latest cutting-edge licensing opportunities, including AI training*.

We're proud to build upon the success of ReverbNation, our sister company at BandLab Technologies, which has licensed songs with:

"The licensing program helped me realize my dream of getting music in video games and on TV. My wife and I jumped on the bed when we heard my song 'God Knows' on an episode of Anthony Bourdain: Parts Unknown."

Jason Donnelly (DJ Puzzle)
NEW

Looking to license music for AI training?

BandLab Licensing works with labels, publishers, and AI platforms to license music for training models. Whether you're building AI tools or managing a catalog, our team can license music that fits your goals, from specific sounds to large-scale creative needs.

Contact us

FAQs

  • What is BandLab Licensing and why should I consider submitting my music?

    BandLab Licensing is a program that allows us to help our users license, represent, and earn from their music.

    We source placements of your music across TV, film, games, ads, the metaverse, and emerging formats like user-generated content.

  • What happens after I submit my music to BandLab Licensing?

    We'll review your song to determine if it’s a fit for the BandLab Licensing program. If accepted, your song becomes eligible on a pre-cleared basis for traditional licensing opportunities, like placements in TV, film, games, and apps. If your music is selected, we’ll handle the licensing process and notify you once a deal is finalized.

    We'll always aim to inform you of high-profile placements so you can make the most of the exposure, like being featured on a Netflix show.

  • What about AI training licensing?

    When you submit a song to BandLab Licensing, you ll see an option to mark it as “Open to AI licensing.” This lets us know you’re open to being contacted for potential AI training licensing opportunities in the future.

    Marking a song as “Open to AI licensing” only signals interest. It does not authorize use. Every AI training licensing opportunity requires your explicit approval.

  • I previously submitted a song to BandLab Licensing. How do I mark it as “Open to AI licensing”?

    If you previously submitted a song and want it considered for AI training licensing, you ll need to resubmit it through the BandLab Licensing form and select “Open to AI licensing.” We'll be in touch if your song is accepted.

  • Who can work with BandLab Licensing for sync and other licensing needs?

    BandLab Licensing works with music supervisors, creative agencies, brands, and other industry partners looking to license music for TV, film, games, apps, and more. Whether you're sourcing from emerging artists or looking for something highly specific, our team can help surface the right music for your project.

  • How do labels and publishers work with BandLab Licensing for AI training opportunities?

    BandLab Licensing works with labels and publishers to license music for AI training models being developed by BandLab and select partners. We're here to help you explore what AI training licensing could look like for your catalog, with control and visibility.

    Reach out to discuss how to participate in AI training opportunities through BandLab Licensing.