Automating Closed Captioning with AI for Educational Videos

Automating Closed Captioning for Educational Videos

1. Content Preparation

1.1 Video Selection

Identify educational videos that require closed captioning. Prioritize based on educational impact and audience needs.

1.2 Script Availability

Gather existing scripts or transcripts for the selected videos. If unavailable, consider manual transcription as a preliminary step.

2. AI-Driven Captioning Tools

2.1 Tool Selection

Select appropriate AI-driven tools for closed captioning. Recommended tools include:

• Otter.ai: Provides real-time transcription and captioning capabilities.
• Descript: Offers automated transcription and video editing features.
• Rev.ai: Utilizes AI for accurate caption generation with a focus on educational content.

2.2 Integration of AI Tools

Integrate selected AI tools into the video production workflow. Ensure compatibility with existing video editing software.

3. Caption Generation

3.1 Upload Videos

Upload selected educational videos to the chosen AI captioning tool.

3.2 Automated Captioning

Utilize the AI tool to generate closed captions automatically. Review the initial output for accuracy.

3.3 Manual Adjustments

Make necessary adjustments to the captions for clarity, timing, and accuracy. Engage educators or subject matter experts for review.

4. Quality Assurance

4.1 Review Process

Implement a review process involving multiple stakeholders to ensure the captions meet accessibility standards.

4.2 User Testing

Conduct user testing with diverse audience groups, including individuals with disabilities, to gather feedback on caption effectiveness.

5. Finalization and Distribution

5.1 Export Captions

Export finalized captions in appropriate formats (e.g., SRT, VTT) compatible with various video platforms.

5.2 Upload to Educational Platforms

Upload the captioned videos to educational platforms such as Moodle, Canvas, or YouTube, ensuring proper accessibility settings are configured.

6. Continuous Improvement

6.1 Feedback Collection

Establish a mechanism for ongoing feedback from users regarding caption quality and accessibility.

6.2 Tool Evaluation

Regularly evaluate the effectiveness of the AI tools used and explore new advancements in AI accessibility technologies.