Speech.
Speech-to-text and text-to-speech in one service — transcription, diarization and natural voices, on the model that reasons over what's said.
Streaming and batch transcription with speaker diarization, plus natural text-to-speech across languages — one service for both directions, on the model that can also summarize, route and act on what was said.
- Category
- Applied AI
- Deployment
- Managed → air-gapped
- Governance
- IAM · encryption · audit
Three steps to running.
Live audio for real-time, or files for batch transcription.
Text with punctuation, formatting and who-said-what.
Turn text back into natural speech in many voices and languages.
Speech, in full.
Low-latency speech-to-text with punctuation and formatting.
Who-said-what across speakers in a call or meeting.
Expressive text-to-speech in many languages and styles.
Domain terms, names and acronyms recognized accurately.
Provision it in a few lines.
Every service is reachable from the same SDK, CLI and infrastructure-as-code — one identity, one bill, one audit trail across the whole catalog.
# Provision speech on Aether Cloud
aether applied-ai create \
--service speech \
--name app \
--region us-1 \
--deploy managed # or vpc | on-prem | air-gappedAt a glance.
- Directions
- Speech-to-text + text-to-speech
- Streaming
- Low-latency
- Diarization
- Multi-speaker
- Languages
- Many, with custom vocab
- Voices
- Expressive, customizable
Built for real work.
Call transcription & analytics
Voice agents
Captioning & accessibility
On one model, not stitched together.
The usual stack runs speech in one product, the model in another and the data in a third — and the seams between them are the cost. Aether Cloud runs it on the same platform that serves the model, governs your identity and deploys into your boundary, with the rest of the catalog one hop away.
No stitching a vector DB to one place, a warehouse to another and a model to a third — speech sits next to the rest of the catalog, one identity, one bill.
The provider that runs Aether runs your speech — so the data and the model never leave the same governed boundary to talk to each other.
Need a capability that isn’t here yet? The model writes and deploys it into the same boundary — the catalog is a starting point, not a ceiling.
Good to know.
Both directions in one service — on the model that can also summarize, route and act on what was said, inside your boundary.
Yes — diarization labels who said what across a call or meeting.
Yes — custom vocabulary handles names, acronyms and jargon accurately.
Your boundary, your choice.
Pairs well with.
Detect, classify and read images and video through one API — grounded in the multimodal model, not a fixed label set.
Real-time and batch translation across 100+ languages, with glossaries and the context the model carries — not phrase-book substitution.
Turn documents into structured data — forms, tables, invoices, contracts — grounded in the model, not brittle templates.
Time-series forecasting as a service — demand, capacity, load — with uncertainty intervals and what-if scenarios.
Real-time recommendations and next-best-action from your interaction data, served at low latency.
Run Speech on Aether Cloud.
Speech-to-text and text-to-speech in one service — transcription, diarization and natural voices, on the model that reasons over what's said. Deployable managed, in your VPC, on-prem or fully air-gapped — talk to us about the configuration your workloads and your boundary require.