About Visual Translate
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Key Features
- AI on-screen text detection: Automatically finds text in slides, lower thirds, labels, UI callouts, and other visual elements.
- Context-aware translation: Uses multilingual AI to translate with regard to meaning and terminology, backed by glossaries and custom prompts.
- Rebuild engine and styling control: Erases original text then recreates it with adjustable font, size, color, layout, and per-scene readability.
- Timeline and animation control: Lets users tweak when text appears, how long it stays, and how it animates to stay in sync.
- Side-by-side proofreading editor: Shows original and translated frames together so users can review, edit, or retranslate specific elements.
- Pipeline to other Vozo tools: Sits alongside Vozo’s subtitles, dubbing, and lip sync features for end-to-end video localization.
Pros & Cons
Pros
- True visual localization: Addresses what viewers actually see on screen, not just what they hear or read in subtitles.
- No project files required: Works from rendered video files, which suits agencies or teams lacking original edit timelines.
- Strong creative control: Per-text styling, timing, and tone controls make it possible to keep brand identity intact.
- Enterprise readiness: Team workspaces, admin controls, SOC 2 Type II controls in progress, and GDPR-aligned handling appeal to larger organizations.
- Fast experimentation: Sample scenarios for slide decks, training videos, and promos help teams test outputs in minutes.
Cons
- Clip length limit per job: Visual Translate currently supports up to around 5 minutes per file, so long videos need splitting.
- Complex motion graphics may need polish: Very dense or highly animated layouts can still require manual tweaking after AI processing.
- 1080p output cap: Input supports up to 4K, but output for Visual Translate is limited to 1080p.