Overview
AI audiovisual technology blends computer vision, speech, and generative models to understand, enhance, and synthesize multisensory content. The aim is simple: make it easier to tell stories that look and sound incredible, while keeping creators in control.
Multimodal understanding
Systems can detect scenes, track objects, parse speech, and align them on a shared timeline. This allows precise edits like context-aware cuts, voice re-dubbing, or automatic sound design that matches on-screen motion.
Generative enhancement
Neural renderers grade colors, upscale frames, and synthesize backgrounds. Audio models craft fitting ambiences, foley, and music cues in the right key, tempo, and mood—without overpowering the dialogue.
Key innovations
Neural dubbing
Lip-synced multilingual speech that preserves timbre and emotional nuance of the original actor.
Generative foley
Auto-synthesized footsteps, cloth, and props cued by physics and motion in the frame.
Smart captioning
Readable, timed captions with intent-aware edits, speaker labels, and tone indicators.
Scene intelligence
Object and action recognition for edit suggestions, continuity checks, and script alignment.
Style-preserving grade
Non-destructive color workflows guided by LUTs and reference stills.
Volumetric vision
Depth-aware reconstruction to enable subtle parallax and reframing in post.
Applications
Film & TV
Localization, ADR, and quick rough cuts accelerated while preserving creative intent.
Live streaming
Noise-robust speech with realtime translation and dynamic mix to keep voices clear.
AR/VR
Spatial audio bed that responds to head movement and environment geometry.
Accessibility
Audio descriptions, sign-language overlays, and customizable caption profiles.
Interactive demo: plan a scene
Describe a shot and get a playful plan of visuals, sound, and captions. This is a local, invented demo—no data leaves your browser.
Responsible AI principles
- Consent & rights: honor performer and rights-holder preferences for training, dubbing, and reuse.
- Attribution: clear credit for human and model contributions in final deliverables.
- Bias & safety: stress test datasets and outputs for fairness, appropriateness, and cultural nuance.
- Watermarking: embed provenance signals in generated audio and frames.
- Privacy: default to on-device for sensitive content; minimize retention and access.
