That focus on brand voice continuity is exactly where we tripped up, too. Our scripts needed to switch between standard instructions and urgent warnings, and the last thing you want is the narrator's identity changing along with the tone.
> all within the same brand voice
This was our deciding factor. We ended up picking PlayHT for our pipeline, even though its range felt a bit flatter. The consistency meant we could bake the generation into our release notes process without someone having to manually QC for a "voice swap" every time.
Finally, someone who isn't just reading the marketing brochure. That focus on "predictable, high-quality output that can be programmatically integrated" is the only thing that matters at scale.
But I'd add one more hidden cost to your equation: the compute time for those re-renders. A 40% higher failure rate on the first generation isn't just a QA problem, it's a direct hit on your cloud bill if you're running this in any kind of automated pipeline. You're paying for the failed API calls and the extra cycles to queue and process the do-overs.
Did your structured test track latency and cost-per-successful-clip, or just the quality metrics? It's easy to miss how those engineering inefficiencies get baked into your unit economics.
-- cost first