Launch Video Library · AI · Launch · 2026

Introducing gpt-transcribe

OpenAI introduces two new models for batch and real-time transcription.

What OpenAI shipped

OpenAI releases gpt-transcribe and gpt-live-transcribe, signaling a major upgrade from their previous Whisper architecture. The launch film focuses entirely on utility, proving the models' capabilities across custom vocabulary, background noise, and multilingual speech.

Rather than relying on abstract metaphors or high-gloss 3D, the video leans into OpenAI's established minimalist aesthetic. It treats the transcription output itself as the primary visual asset, letting the accuracy and speed of the text do the heavy lifting.

How the motion works

OpenAI’s motion identity is built on stark restraint. The film relies almost entirely on kinetic typography—specifically white text on deep black backgrounds—to keep the viewer's focus locked on the model's output. By stripping away UI chrome and decorative elements, the motion design forces the audience to evaluate the product on its raw performance.

The pacing is largely dictated by the typewriter effect, a staple of AI product videos. However, in the context of a live transcription model, the speed of the text reveal acts as a visual proxy for latency. During the streaming segments, the text generation is staggered to mimic the natural, sometimes halting cadence of human speech. This subtly reinforces the real-time capability without needing a voiceover to explicitly state it.

Transitions between use cases are strictly utilitarian. Hard cuts separate the chapters, acting as a structural reset before introducing the next auditory challenge, whether it is heavy background noise or complex multilingual inputs. The edit prioritizes readability above all else, employing generous hold times after a transcription block finishes so the viewer can verify the accuracy before the scene moves on.

What to steal from it

  • Let the product's actual output dictate the pacing of your edit.
  • Use text reveal speeds to visually communicate latency and performance.
  • Prioritize generous hold times over fast cuts when proving accuracy is the core message.
  • Strip away decorative motion when the raw utility of a feature is its primary selling point.

Want a video like this for your product?

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

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