AI Caption Generation Workflow

A workflow for producing professional-quality captions using AI transcription as the first pass — achieving the accuracy and styling of manual captions at a fraction of the time.

Syntax

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Step 1: AI transcription
Generate captions using Descript, Premiere, YouTube auto-captions, or dedicated transcription service.
Typical accuracy: 90-95% for clear audio, lower for accented speech, technical vocabulary, and background noise.

Step 2: Review and correction
Focus review on:
- Technical vocabulary and product names
- Proper nouns and names
- Sentences with complex or run-on structure
- Sections with background noise or overlapping speech

Step 3: Styling
Replace platform default styling with brand-appropriate:
- Font, size, and weight consistent with brand standards
- Position and safe area compliance for each platform
- Color contrast ratio for accessibility (minimum 4.5:1)

Step 4: Format adaptation
Export caption files in required formats for each platform:
.SRT for YouTube, LinkedIn
.VTT for web players
.SCC for broadcast

Example

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Video: 15-minute product webinar recording.

Traditional transcription: 60-90 minutes manual transcription.

AI-assisted workflow:
- Auto-transcription: 8 minutes processing
- Correction review (technical product names, presenter name): 20 minutes
- Brand styling applied: 15 minutes
- Total: ~45 minutes

Time saving: 50-65% reduction.

Note: Technical terms "API," "webhook," "OAuth" all required manual correction in this example — flagging specialized vocabulary before review focuses correction effort.