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Burn dynamic, retention-focused animated captions into short-form videos with word-level sync and mobile-safe styling
Turn raw spoken footage into finished social video with burned-in animated captions in three automated steps.
Explore the automated speech recognition, kinetic typography presets, and custom transcript controls built for high-retention video.
See how animated word highlighting, high-contrast styling, and mobile-safe formatting elevate vertical and widescreen footage.
Designed for social media creators, podcast editors, growth marketers, and educators producing high-impact video at scale.
Dynamic presets like Glass, Whisper, and Fusion render context-aware animations and word-by-word visual accents that apply a 2x compute multiplier, while standard presets like Corpo, Simple, and Plain render static, fixed caption layouts at the base per-minute rate. Creators choose dynamic presets for high-retention social reels and standard presets for clean corporate demos.
Yes, you can bypass automated speech-to-text entirely by providing formatted SRT text or an SRT file URL. Supplying your own timestamped transcript ensures 100% precision for technical jargon, brand nomenclature, and proper nouns while still taking advantage of the engine's animated rendering styles.
The model supports automatic speech recognition across more than 100 spoken languages. It analyzes the input vocal track to generate frame-accurate word timestamps and burned-in translated or native text overlays automatically.
Avoid this model when you need soft, toggleable closed caption files (such as CC buttons on video players) or uncompressed alpha-channel transparent video overlays. It is also not recommended for noisy audio environments with heavily overlapping speakers, where automatic speech alignment accuracy decreases.
Burn dynamic, retention-focused animated captions into short-form videos with word-level sync and mobile-safe styling