Launch Video Library · AI · Feature · 2026

Character Casting in Audiobooks

ElevenLabs introduces an automated workflow that detects characters in a manuscript and assigns them unique, previewable voices.

What ElevenLabs shipped

ElevenLabs launched Character Casting, a new creation flow within their Audiobooks platform. The feature automatically parses uploaded manuscripts, detects distinct characters, and proposes specific voice profiles for each, allowing creators to preview dialogue in context rather than relying on generic audio samples.

At just 29 seconds, the announcement film has to communicate a complex AI workflow—text parsing, speaker identification, and audio mapping—without getting bogged down in technical details. It achieves this through tight UI abstraction and audio-driven pacing, keeping the focus entirely on the speed of the workflow.

How the motion works

Because the core product is inherently auditory, the motion design serves the sound. The edit relies on precise hard-cuts synchronized to the audio cues. The voice previews act as the primary driver for the visual pacing, ensuring the visual rhythm is dictated by the spoken dialogue rather than an arbitrary timeline.

The interface is never presented as a static, full-screen recording. Instead, the camera uses a deliberate punch-in to isolate specific interactions, such as the voice-swapping mechanism. This spatial isolation directs the viewer's eye exactly to the point of value: the menu where a generic voice transforms into a specific character profile.

Kinetic-typography bridges the gap between the written manuscript and the generated audio. Text elements scale and track alongside audio waveforms, visually reinforcing the translation of text to speech. The easing on these transitions is sharp and linear, reflecting the speed and precision of the underlying AI model rather than aiming for overly smooth, cinematic motion.

What to steal from it

  • Let the product's native output dictate the pacing of the edit.
  • Use a punch-in to isolate key UI interactions rather than exposing the entire dashboard at once.
  • Rely on hard-cuts to maintain momentum in sub-30-second feature drops.
  • Abstract complex backend processes into simple visual metaphors, like text transforming into waveforms.

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Impractical cuts one from a single prompt — the same motion craft, in about twenty minutes.

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