model · open source
Voice AI Agents with ElevenLabs
Voice AI Agents built on ElevenLabs, chosen where it genuinely fits, and swapped where it does not.
- Category
- model
- Vendor
- Open source
- Alternatives we also use
- 8
Why ElevenLabs for this
People interrupt. They change their mind mid-sentence, they talk over the prompt, they switch from Hindi to English and back. A voice agent that cannot handle barge-in is a menu tree with a nicer voice.
ElevenLabs is strongest at voice quality that does not announce itself as synthetic. For voice ai agents that matters because the failure modes of this kind of system tend to cluster exactly there.
The honest trade-off: per-character pricing that adds up quickly at contact-centre volume. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.
Six weeks to something running in production, not six quarters to a strategy document.
The honest assessment
- What it is
- Speech synthesis with natural prosody across many languages.
- Strongest at
- voice quality that does not announce itself as synthetic
- Trade-off
- per-character pricing that adds up quickly at contact-centre volume
- Category
- model
We are not a reseller for ElevenLabs and hold no commission on this choice. Where a different option fits your workload better, the recommendation will say so. That is the entire value of asking us.
What is included
- Telephony integration with your existing numbers
- Indian-language speech recognition and synthesis
- Sub-second turn latency with barge-in support
- Live transfer to a human with context
- Call recording, transcription and QA scoring
- Compliance with calling and consent regulations
Questions
Which Indian languages are supported?
Hindi, Tamil, Telugu, Kannada, Malayalam, Marathi, Bengali, Gujarati and Punjabi among others, including code-mixed English. We test on recordings of your real callers, not studio audio.
How fast does it respond?
We target sub-second turn latency end to end, with barge-in so callers can interrupt naturally. Anything slower and callers assume the call has dropped.
Can it transfer to a human?
Yes, warm transfer with the transcript and caller context handed over, so the agent does not ask the customer to repeat themselves.
What else we build on ElevenLabs
Building with ElevenLabs?
Bring us the workload and we will tell you whether this is the right stack for it.
Or email bd@dtrasglobal.com · call +91 74118 77878