Turn text into audio using selectable model voices for voice interfaces and media drafts.
Text up to 4,000 characters, language and a supported model voice per request. Output: WAV audio. Includes model voices; custom speaker adaptation requires a separately approved process.
Hourly rate: 68,077 SupraWorx Credits. Dedicated capacity is metered by AWS running time, including idle time. Shared pools meter active GPU processing time; queueing and pool idle time are platform costs. Charges are prorated and rounded up to whole credits. Each user needs a personal GPU-Hub license; compute is paid from the organization credit balance.
AWS Frankfurt integration through the SupraWorx API, Shortcuts, Workflows and AI Workbench. Model: Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice. Review outputs before use. The pinned configuration passed real-GPU evaluation and is released. GPU allocation depends on AWS capacity. The workload measurements are documented below; availability is not guaranteed.
AWS Frankfurt, NVIDIA L4: 20 English/German sentences using Ryan; independent automated transcription with 4.73% word error rate. No human listening study. Measured p95 request latency: 9652 ms; zero runtime errors in these 20 calls. Measurements cover this workload and are not a latency or availability guarantee. Released; allocation remains subject to available AWS capacity.