Available in Ollang Workflows as
azureElevenlabs — AI Dubbing. See the Text-to-Speech catalog.Voice tiers
Key capabilities
- The largest individual voice catalog in the Ollang catalog — 200+ neural voices, with named speaking styles (newscast, customer service, chat, empathetic, whispering) and role variants including child voices.
- Full SSML control over pronunciation, intonation, pauses, and pacing. For dubbing this is the practical mechanism for fitting a line to picture within a fixed timing budget, rather than regenerating it until the duration happens to land.
- Custom Neural Voice and Personal Voice for a consistent brand or character voice across an entire catalog.
- Multilingual voices that carry one speaker identity across languages while detecting emotional cues and adjusting style to match sentiment.
- Enterprise compliance posture inherited from Azure.
Where it fits in a workflow
Select this route when the voice specification drives the decision rather than the language count: a specific locale variant, a specific age or gender profile, or a named speaking style that single-vendor engines do not offer — or when lines must be timed precisely to picture and SSML is the tool that gets you there. If raw language reach is the constraint, Gemini TTS covers 99 languages. On the major languages every provider serves, Cartesia and ElevenLabs sound better.Trade-offs
- Baseline neural voices are reliable rather than expressive. They are excellent at being clear and consistent, and they are not the right choice when voice performance is the deliverable. The HD and MAI tiers close much of that gap where they are available.