Automated AI Closed Captioning Workflow for Video News

Automated Closed Captioning for Video News

1. Content Preparation

1.1 Video Selection

Identify and select video news content that requires closed captioning.

1.2 Audio Quality Check

Ensure that the audio quality of the video is sufficient for accurate transcription. Use tools like Audacity for audio enhancement.

2. AI-Driven Transcription

2.1 Speech Recognition Tool Selection

Select an AI-driven speech recognition tool. Examples include:

• Google Cloud Speech-to-Text – Offers real-time transcription with high accuracy.
• IBM Watson Speech to Text – Provides customizable models for better transcription accuracy.
• Rev.ai – Delivers automated transcription services with a focus on media content.

2.2 Transcription Process

Upload the selected video to the chosen transcription tool. The AI will analyze the audio and generate a text transcript.

3. Caption Formatting

3.1 Caption File Creation

Convert the transcript into a caption file format (e.g., SRT, VTT) using tools such as Kapwing or Subtitle Edit.

3.2 Timecode Synchronization

Ensure that the captions are synchronized with the video. AI tools like Descript can assist in automatic timecoding.

4. Quality Assurance

4.1 Review and Edit

Conduct a thorough review of the captions for accuracy and readability. Utilize AI proofreading tools like Grammarly to assist in editing.

4.2 User Feedback Incorporation

Gather feedback from users or journalists on caption quality and make necessary adjustments.

5. Finalization and Distribution

5.1 Export Captions

Export the finalized caption file in the required format for distribution.

5.2 Integration with Video Platforms

Upload the video along with the closed captions to video hosting platforms such as YouTube or Vimeo.

6. Post-Implementation Review

6.1 Analyze Viewer Engagement

Utilize analytics tools to assess viewer engagement and accessibility improvements due to closed captioning.

6.2 Continuous Improvement

Use insights gained from viewer feedback and analytics to refine the captioning process for future video news content.