Auto captions that match how social is watched
Most viewers are on mute. Turn transcripts into legible, on-beat captions without rebuilding timelines from scratch.
- Faster turnaround for short-form
- Readable safe zones for vertical formats
- Cleaner handoff to localization teams
Publish-ready path
- 1Master video
- 2Caption pass
- 3Style review
- 4Platform export
Cómo funciona
- 1
Import or render your master
Start from Kubeez exports or uploaded cuts.
- 2
Generate captions
Tune reading speed and line breaks for the platform.
- 3
Export with styles
Match brand supers before media buying scales.
Where teams save time
- Paid social variants
- Creator collab approvals
- Webinar highlight clipping
Audio quality
Cleaner dialogue tracks produce cleaner captions. Denoise upstream when possible.
Media tools overview
Abrir documentaciónPreguntas frecuentes
How accurate are Kubeez auto captions?
Kubeez AI achieves high transcription accuracy for most video content. Clear dialogue with minimal background noise typically yields 95%+ accuracy. You can correct individual words in the caption editor without re-processing the entire video.
What video formats does the auto caption tool support?
Kubeez supports MP4, MOV, AVI, and WebM uploads for caption generation. Exports are available as burned-in captioned MP4 or as separate SRT/VTT subtitle files compatible with YouTube, TikTok, and other platforms.
Can I style captions for TikTok and Instagram Reels?
Yes. Kubeez offers full caption style customization including fonts, colors, text size, background fill, animation style (word-by-word, karaoke highlight, sentence reveal), and positioning — with presets optimized for TikTok, Instagram Reels, YouTube Shorts, and Facebook.
Does Kubeez support multilingual captions?
Yes. Kubeez supports multilingual caption workflows so you can generate captions in the source language and localize them for additional markets without re-recording content.
Can I add captions to videos in bulk?
Kubeez supports high-volume captioning workflows and can be integrated via the REST API or MCP for batch processing, making it suitable for teams that produce large amounts of video content.
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