Bloomberg Podcasts — Audiograms
As podcasts continue to grow in popularity, their audio-only nature makes it hard to share them on social media. Algo uses Artificial Intelligence to easily turn Bloomberg Podcast episodes into shareable video trailers.
Turning Podcasts into videos is useful ① for social distribution & ② to create a second layer of low-density information made of a transcript, waveforms, speakers info, charts & maps.
We designed a layout that fits both the overall Bloomberg Podcast brand identity and can also work with 4 different design skins, dedicated to their 4 biggest shows.
We developed a unique audio–driven Algo dashboard where users can upload an audio file and automatically transform it into an accurate transcript using AI
Let’s see how to create an audiogram step by step:
① Upload an audio file, in multiple formats (.wav, .mp3) & lengths (up to 30 minutes for full episodes).
① Upload an audio file, in multiple formats (.wav, .mp3) & lengths (up to 30 minutes for full episodes).
② Transform the audio into an editable transcript with AI (accuracy 98%). This process returns an in-sync transcript of the audio that is editable through the Algo dashboard, so any typo can be easily fixed manually.
③ Editing the modules — Users can edit the video timeline by simply editing the text: create a new line to create a new scene.
Then, each scene can be turned into one of the template modules: ① Title ② Speaker (with waveform) ③ Media (video, image) ④ Maps ⑤ Charts.
Thanks for watching !
Credits ✶ Algo Studio algo.tv
Project Direction — Luca Gonnelli
Creative Direction — Ilenia Notarangelo
Automation Lead — Matteo Ruffinengo
Data Scientist — Nima Farzaneh
Project Management — Marina Echer Barbieri
Creative Direction — Ilenia Notarangelo
Automation Lead — Matteo Ruffinengo
Data Scientist — Nima Farzaneh
Project Management — Marina Echer Barbieri
Portfolio — Giovanna Crise & Camille Pagotto
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