Text to Speech

Hidden fees and pricing models can multiply TTS costs four times over at scale.

Different conditions require different TTS approaches—one solution doesn't work for both.

Markup handles pronunciation and pacing; neural models handle everything else.

AI voices now handle audiobook backlogs that human narrators alone cannot scale to meet.

Quality and brand voice consistency matter more than language count when scaling globally.

Streaming TTS eliminates the latency gap that makes voice agents sound robotic and unnatural.

Pricing varies wildly by billing unit, voice quality tier, and hidden licensing requirements.

Blind arena testing, not vendor scorecards, reveals which text-to-speech models actually sound best.

Pitch, rhythm, and register are phonological requirements, not cosmetic choices.

Mean Opinion Score hits its ceiling when top systems cluster near perfection.