YouTube Shorts have different audio requirements than long-form videos. The format is 60 seconds or less, vertical, and consumed by viewers who are swiping rapidly through a feed. Your narration needs to hook in the first two seconds, maintain high energy throughout, and end before the viewer swipes away. TTS for Shorts is a distinct optimization problem.
Pacing Is Everything
Long-form tutorial narration runs at about 130-150 words per minute. Shorts narration needs to run at 160-180 WPM. Not faster than that -- beyond 180 WPM, comprehension drops sharply -- but noticeably quicker than a standard tutorial pace.
Most TTS tools generate at a fixed speed determined by the model or a global speed parameter. For Shorts, you need per-segment speed control. The hook sentence should be slightly faster (creating urgency), the core explanation at normal pace (clarity), and the call-to-action at the end slightly slower (emphasis).
# Speed profile for a 45-second Short
segments:
- text: "Most developers do not know this git trick."
speed: 1.15
duration_target: 3s
- text: "Git bisect automatically finds the commit..."
speed: 1.05
duration_target: 35s
- text: "Follow for more dev tips."
speed: 0.95
duration_target: 4s
Voice Selection for Short-Form
The voice that works for your 12-minute tutorial may not work for Shorts. Short-form content favors voices with:
- Higher energy and more dynamic range
- Slightly faster default cadence
- Clear articulation on technical terms (no mumbling through "asynchronous")
- Minimal breath sounds (wasted time in a 60-second format)
If you are using a cloned voice, consider creating a separate reference sample specifically for Shorts. Record your reference with more energy and a faster pace than your tutorial reference. The embedding will capture that higher-energy version of your voice.
The First Two Seconds
YouTube's internal data shows that Shorts viewers decide to stay or swipe within the first 1.5-2 seconds. Your TTS narration needs to start immediately -- no fade-in, no silence, no throat-clearing sound effects. The very first syllable should hit at frame 1.
Effective hooks for developer Shorts:
- "Stop using console.log for debugging."
- "This one command saves me 20 minutes every day."
- "You are deploying wrong."
Notice: short, punchy, slightly provocative. The TTS voice needs to deliver these with conviction. If your model produces them flat, adjust the speed parameter slightly upward (1.1-1.15x) for the hook sentence to add perceived energy.
Audio Production for Shorts
Shorts are consumed on phone speakers, often without headphones. This changes your audio processing chain:
| Parameter | Long-form | Shorts |
|---|---|---|
| Loudness target | -16 LUFS | -14 LUFS |
| Compression ratio | 2:1 | 3:1 or 4:1 |
| High-pass filter | 80 Hz | 120 Hz |
| Background music level | -20 dB relative | -24 dB relative or none |
Higher loudness and heavier compression ensure your voice cuts through even on tiny phone speakers in noisy environments. The higher high-pass filter removes low-frequency content that phone speakers cannot reproduce anyway -- keeping it just muddies the mix.
VidNo automatically applies a Shorts-specific audio profile when generating vertical content. The pipeline detects the output format and adjusts compression, loudness normalization, and pacing parameters without manual configuration. One recording produces both a full tutorial and optimized Shorts with appropriate audio treatment for each format.