
A father set out with the idea of building an app that shows his child what the objects around them are using Claude code, but suddenly he became the owner of an app that broke download records as…
The Hook
“(No spoken dialogue — High-energy riser/sweep, sub-bass drop/impact, synth pads, percussive electronic elements, deep resonant bassline.)”
Product Reveal
“(No spoken dialogue — Driving, rhythmic electronic score continues with synth pads and percussive elements.)”
Feature Teaser
“(No spoken dialogue — The electronic score maintains its energetic rhythm, punctuated by subtle sound design elements.)”
Call to Action
“(No spoken dialogue — The driving electronic score continues, building energy towards the end.)”
Synthesizable in Remotion · key components of the ai-object-translator-launch template.
A detected object is highlighted with a soft, glowing aura, followed by a text label appearing with a subtle bounce or fade-in animation, often accompanied by a sound icon.
Use a `spring` animation for the glow's opacity and scale. Text labels can use `interpolate` for position and opacity, with a `spring` for a slight overshoot on appearance. SVG filters for the glow effect.
A smooth, continuous vertical scroll through a list of previously recognized objects, each presented as a distinct card with an image and text label. The scroll speed can vary.
Implement a `Sequence` of `AbsoluteFill` components for each history item. Use `interpolate` for the `translateY` property of the container, driven by a linear or ease-out curve. Ensure efficient rendering for many items.
A dashed or solid bounding box animates around an object, indicating the app's active scanning process. The box might pulse or subtly change size before recognition.
Create an SVG path for the bounding box. Animate `stroke-dasharray` and `stroke-dashoffset` for a 'marching ants' effect, or use `spring` for `scale` and `opacity` to create a pulse. Overlay this on the video feed.
Purpose. Immediately demonstrate the core value proposition: instant object identification.
Execution. A real-world object (donut) is shown, quickly scanned, and then its name appears with a satisfying visual and auditory cue.
Purpose. Illustrate the breadth of objects the app can recognize and its utility over time.
Execution. Rapid scrolling through a history feed of diverse, previously identified items, highlighting the app's extensive knowledge base.
Purpose. Engage the viewer by showing the live scanning process in action.
Execution. A new object (sandwich, cup) is placed in frame, the scanning animation plays, and the correct label appears, reinforcing the app's real-time capability.
Purpose. Conclude by emphasizing the app's comprehensive and ever-growing utility.
Execution. A final, accelerated scroll through an even wider array of recognized objects, leaving the viewer impressed by the app's potential.
Objective
Launch a new AI-powered language learning app that identifies objects and translates their names into multiple languages.How the recipe adapts
The ObjectRecognitionHighlight primitive would be adapted to show an object, then its name in the native language, and then the translated name. The DynamicHistoryScroll would display a user's 'learned vocabulary' list, showing objects they've scanned and their translations. The ScanningBoundingBox would highlight text or objects for real-time translation. The overall pacing and energetic electronic score would be maintained to convey the app's efficiency and modern appeal.Scene durations (4 scenes, 23s)
Key Remotion components

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