Automated AI Transcription and Captioning for Educational Videos

Automated Transcription and Captioning of Educational Videos

1. Video Upload

1.1. User Interface

Educators upload their educational videos to a centralized platform.

1.2. Supported Formats

The platform supports various video formats such as MP4, AVI, and MOV.

2. Audio Extraction

2.1. AI Audio Processing

Utilize AI-driven audio tools like Descript or Otter.ai to extract audio from the video file.

2.2. Quality Check

Automated systems analyze audio quality to ensure clarity and minimize background noise.

3. Speech Recognition

3.1. AI Transcription

Implement AI transcription services such as Google Cloud Speech-to-Text or AWS Transcribe to convert audio to text.

3.2. Accuracy Assessment

Run algorithms to assess and enhance transcription accuracy, including punctuation and speaker identification.

4. Caption Generation

4.1. Synchronized Captioning

Utilize tools like Rev.com or Kapwing to create synchronized captions that align with the video timeline.

4.2. Formatting Options

Provide options for different caption styles (e.g., closed captions, subtitles) to cater to diverse learner needs.

5. Review and Edit

5.1. User Feedback Loop

Incorporate a review feature allowing educators to edit transcriptions and captions for accuracy and context.

5.2. AI Assistance

Use AI tools like Trint for suggested edits and improvements based on contextual understanding.

6. Final Output

6.1. Export Options

Enable educators to export videos with embedded captions or as separate subtitle files (e.g., SRT, VTT).

6.2. Distribution

Facilitate easy sharing of the final product across various e-learning platforms and social media.

7. Analytics and Reporting

7.1. Engagement Metrics

Implement analytics tools to track viewer engagement and interaction with captioned videos.

7.2. Continuous Improvement

Gather data to refine transcription and captioning processes, enhancing the user experience over time.