Automated Closed Captioning Workflow with AI Integration

Automated Closed Captioning for Recorded Lessons

1. Content Preparation

1.1. Lesson Recording

Instructors record lessons using video conferencing tools or screen recording software.

1.2. File Format Selection

Ensure the recorded lessons are saved in compatible formats such as MP4 or AVI for processing.

2. AI-Driven Transcription

2.1. Upload Recorded Lessons

Upload the recorded lesson files to an AI-powered transcription service.

Example Tools:

• Otter.ai
• Rev.ai
• Sonix.ai

2.2. Automatic Speech Recognition (ASR)

Utilize ASR technology to convert audio from the recorded lessons into text format.

3. Caption Generation

3.1. Text Formatting

Format the transcribed text into caption-friendly segments, ensuring readability.

3.2. Synchronization

Synchronize the captions with the audio to ensure accurate timing.

4. Quality Assurance

4.1. Review and Edit

Instructors or designated staff review the generated captions for accuracy and make necessary edits.

4.2. AI Feedback Loop

Implement a feedback mechanism where corrections are fed back into the AI system to improve future transcriptions.

5. Caption Integration

5.1. Embed Captions

Integrate the finalized captions into the recorded lesson video using video editing software.

5.2. Export Final Video

Export the finalized video with embedded captions in suitable formats.

6. Distribution

6.1. Upload to Learning Management System (LMS)

Upload the captioned video to the institution’s LMS for student access.

6.2. Accessibility Compliance

Ensure that the captioned content meets accessibility standards for all learners.

7. Continuous Improvement

7.1. Monitor Usage and Feedback

Collect data on student engagement and feedback regarding the captioned lessons.

7.2. AI Model Refinement

Regularly update the AI tools and models based on user feedback and technological advancements.