Video Captions Generator

Generate VTT captions from video or audio files with word-level timestamps. Optionally translate captions to multiple languages.

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How to Use Video Captions for Burned-In Captions

1

Upload Marketing Content

Drag and drop your video files into the Sirv AI Studio dashboard to begin the automated transcription process.

2

Customize Caption Style

Adjust the typography, background contrast, and placement to ensure maximum readability and brand consistency for your specific industry audience.

3

Render and Export

Process the video with a single click. Our AI permanently embeds the text into the video, ready for immediate upload to your favorite marketing channels.

Why Use Video Captions for Burned-In Captions

Universal Playback Consistency

Eliminate the risk of missing subtitles. Since captions are hard-coded into the video frames, your marketing message remains intact regardless of platform settings or player limitations.

Enhanced Social Engagement

With over 80% of social media videos viewed on mute, burned-in captions ensure your audience understands your value proposition immediately, increasing watch time and click-through rates.

On-Brand Visual Styling

Unlike standard closed captions, burned-in subtitles allow you to customize fonts, colors, and positioning to align perfectly with your brand's visual identity and marketing guidelines.

Simplified Asset Management

Streamline your workflow by managing a single video file. No more tracking separate sidecar files or worrying about synchronization issues during cross-platform distribution.

Frequently Asked Questions

Burned-in captions, also known as open captions, are subtitles that are hard-coded into the video itself. They cannot be turned off by the viewer, ensuring the text is always visible.

Processing burned-in captions costs just 2 credits per processed image/frame sequence, making it a cost-effective solution for high-volume marketing teams.

Yes, Sirv AI Studio provides a comprehensive editor where you can review the AI-generated transcript, adjust timing, and fix any industry-specific terminology before the final render.