Slip.stream — Automated Music Videos
Slip.stream — Automated Music Videos
Slip.stream — Automated Music Videos
Slip.stream — Automated Music Videos
Overview – The music licensing platform Slip.stream asked us to create a music video for each of the songs in their catalogue. With Algo, we built these videos modular, fully automated and TikTok friendly.
Overview – The music licensing platform Slip.stream asked us to create a music video for each of the songs in their catalogue. With Algo, we built these videos modular, fully automated and TikTok friendly.
Overview – The music licensing platform Slip.stream asked us to create a music video for each of the songs in their catalogue. With Algo, we built these videos modular, fully automated and TikTok friendly.
Overview – The music licensing platform Slip.stream asked us to create a music video for each of the songs in their catalogue. With Algo, we built these videos modular, fully automated and TikTok friendly.
Overview – The music licensing platform Slip.stream asked us to create a music video for each of the songs in their catalogue. With Algo, we built these videos modular, fully automated and TikTok friendly.
The initial trigger is done by selecting any of the Slip.stream songs directly on Algo’s dashboard. Algo then randomly chooses the colors, shapes, and order of scenes, which are different for every video. After that, it uses the metadata embedded on the track like "vibe" name, genre, tempo, tags and waveform to customize the scenes and animate the shapes. Although all of this is fully automated, the user still has the option to manually customize each scene.
The initial trigger is done by selecting any of the Slip.stream songs directly on Algo’s dashboard. Algo then randomly chooses the colors, shapes, and order of scenes, which are different for every video. After that, it uses the metadata embedded on the track like "vibe" name, genre, tempo, tags and waveform to customize the scenes and animate the shapes. Although all of this is fully automated, the user still has the option to manually customize each scene.
The initial trigger is done by selecting any of the Slip.stream songs directly on Algo’s dashboard. Algo then randomly chooses the colors, shapes, and order of scenes, which are different for every video. After that, it uses the metadata embedded on the track like "vibe" name, genre, tempo, tags and waveform to customize the scenes and animate the shapes. Although all of this is fully automated, the user still has the option to manually customize each scene.
Check it on — Behance Motion Graphics & After Effects badges
Check it on — Behance Motion Graphics & After Effects badges
Check it on — Behance Motion Graphics & After Effects badges
Starting from the client's branded colors, we developed a fresh color palette and a custom library of shapes that work great when combined together. The algorithm matches the colors of the background, text, shapes, and shadows with a gradient effect, always aiming to have the best visibility. Everything then moves in sync with the audio, automatically.
Starting from the client's branded colors, we developed a fresh color palette and a custom library of shapes that work great when combined together. The algorithm matches the colors of the background, text, shapes, and shadows with a gradient effect, always aiming to have the best visibility. Everything then moves in sync with the audio, automatically.
Starting from the client's branded colors, we developed a fresh color palette and a custom library of shapes that work great when combined together. The algorithm matches the colors of the background, text, shapes, and shadows with a gradient effect, always aiming to have the best visibility. Everything then moves in sync with the audio, automatically.
The right fit for social media — Slip.stream wanted to preview their songs directly in the platforms where GenZ creators spend most time: TikTok, Youtube & Twitch.
The right fit for social media — Slip.stream wanted to preview their songs directly in the platforms where GenZ creators spend most time: TikTok, Youtube & Twitch.
The right fit for social media — Slip.stream wanted to preview their songs directly in the platforms where GenZ creators spend most time: TikTok, Youtube & Twitch.
In order to do that, they needed videos that perfectly fit these platforms. Algo creates a 16:9 full-song version perfect for Youtube & a vertical, 30s version dedicated to TikTok.
In order to do that, they needed videos that perfectly fit these platforms. Algo creates a 16:9 full-song version perfect for Youtube & a vertical, 30s version dedicated to TikTok.
In order to do that, they needed videos that perfectly fit these platforms. Algo creates a 16:9 full-song version perfect for Youtube & a vertical, 30s version dedicated to TikTok.
There, creators can start using the song in their videos in a click. Algo videos are optimal for a social media platform in which the audio track has such a big influence on the success of the content
There, creators can start using the song in their videos in a click. Algo videos are optimal for a social media platform in which the audio track has such a big influence on the success of the content
There, creators can start using the song in their videos in a click. Algo videos are optimal for a social media platform in which the audio track has such a big influence on the success of the content
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Number of possible video variants
Number of possible video variants
Credits ✶ Project Direction Luca Gonnelli + Creative Direction & Design Cristina Pasquale + Motion Engineering & Animation Matteo Ruffinengo + Data Science Nima Farzaneh + Project Management Marina Echer Barbieri + Portfolio Giovanna Crise
Credits ✶ Project Direction Luca Gonnelli + Creative Direction & Design Cristina Pasquale + Motion Engineering & Animation Matteo Ruffinengo + Data Science Nima Farzaneh + Project Management Marina Echer Barbieri + Portfolio Giovanna Crise
Credits ✶ Project Direction Luca Gonnelli + Creative Direction & Design Cristina Pasquale + Motion Engineering & Animation Matteo Ruffinengo + Data Science Nima Farzaneh + Project Management Marina Echer Barbieri + Portfolio Giovanna Crise
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