Definition #
ML systems producing accurate transcripts and captions for video content.
Key Characteristics #
- Speaker diarization
- Jargon handling
- SDH captions
- Multi-language output
Why It Matters #
Improves SEO by 45% and accessibility compliance (W3C).
Common Use Cases #
- Lecture recordings
- Corporate webinars
- Social media clips
Examples #
- Otter.ai
- Rev
- Sonix
FAQs #
Q: Accuracy rates?
A: 95%+ for clear audio, 85%+ with background noise.
Q: Format support?
A: Outputs SRT, VTT, and TXT files for all platforms.