Automated AI Transcript Generation for Audio and Video Content

Automated Transcript Generation for Audio and Video Content

1. Content Upload

1.1. User Submission

Content creators upload audio or video files to the platform.

1.2. File Format Check

The system verifies the file format (e.g., MP3, MP4, WAV) to ensure compatibility.

2. Pre-Processing

2.1. Audio/Video Segmentation

The content is segmented into manageable chunks for efficient processing.

2.2. Noise Reduction

AI-driven tools like Adobe Audition or Audacity are utilized to enhance audio quality by removing background noise.

3. Speech Recognition

3.1. Transcription Engine Selection

Select an AI-powered transcription engine, such as Google Cloud Speech-to-Text, IBM Watson Speech to Text, or Amazon Transcribe.

3.2. Automated Transcription

The selected engine processes the audio and generates a preliminary transcript.

4. Post-Processing

4.1. Accuracy Check

AI algorithms analyze the transcript for accuracy, identifying potential errors.

4.2. Human Review

A professional transcriber reviews the transcript and makes necessary corrections.

5. Formatting and Accessibility Enhancements

5.1. Subtitle Generation

Generate subtitles using tools like Amara or Kapwing to ensure accessibility for deaf and hard-of-hearing audiences.

5.2. Metadata Integration

Add metadata (e.g., keywords, descriptions) to enhance searchability and improve SEO.

6. Quality Assurance

6.1. Final Review

Conduct a final review of the transcript and subtitles to ensure compliance with accessibility standards.

6.2. User Feedback

Gather feedback from users to identify areas for improvement in the workflow.

7. Distribution

7.1. Content Publishing

Publish the audio/video content along with the transcript and subtitles on relevant platforms.

7.2. Analytics Tracking

Utilize analytics tools to track user engagement and accessibility effectiveness.

8. Continuous Improvement

8.1. AI Model Training

Regularly update and train AI models with new data to improve transcription accuracy.

8.2. Workflow Optimization

Review and refine the workflow based on user feedback and technological advancements.