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 Educational Transcripts

1

Upload Your Content

Drag and drop your educational video files directly into the Sirv AI Studio dashboard for instant processing.

2

AI Transcription Engine

Our advanced neural networks analyze the audio track to generate highly accurate, time-stamped text formatted for academic use.

3

Review and Export

Fine-tune the generated text using our intuitive editor and export your transcript in multiple formats like SRT, VTT, or TXT.

Why Use Video Captions for Educational Transcripts

Enhanced Student Accessibility

Provide a text-based alternative for students with hearing impairments or those who prefer reading over watching, ensuring your curriculum is fully inclusive and ADA compliant.

Searchable Study Material

Turn long-form lectures into searchable documents. Students can quickly locate specific topics or keywords within a transcript without scrubbing through hours of video footage.

Multilingual Learning Support

Help non-native speakers better understand complex academic terminology by providing clear, written transcripts that can be easily translated or reviewed at their own pace.

Improved SEO for Courses

For online course providers, transcripts provide valuable text data that search engines can index, significantly increasing the discoverability of your educational content.

Frequently Asked Questions

Sirv AI utilizes advanced linguistic models trained on diverse datasets, ensuring high accuracy even for specialized terminology in fields like medicine, engineering, and law.

Generating educational transcripts and captions costs only 2 credits per processed image/video segment, making it a cost-effective solution for large-scale course production.

Yes, our tool generates time-coded files that can be uploaded directly to video players like YouTube, Vimeo, or your own LMS to provide synchronized closed captions.