Voice AI is moving fast and 2025 already feels like a turning point.
It’s not just about making synthetic voices sound human anymore. Now it’s about:
Natural conversations that don’t break the flow.
Memory and context, so agents don’t restart from zero.
Scalability, with tools that adapt to different industries.
In our latest short video, we highlighted some of the top players in this space:
- ElevenLabs
- PlayHT
- PolyAI
…and others making noise this year! 👀
👉🏻 Check out the short here: Which is the Best AI Voice Agent in 2025?
But instead of just sharing a ranking, we wanted to bring the question to the dev community here on dev.to:
Have you tried integrating any AI voice tools into your projects?
Which platforms do you see standing out in terms of developer experience (APIs, SDKs, docs)?
Where do you think Voice AI will make the biggest impact first: customer support, personal assistants, gaming, or something else?
We usually share short-form video content on AI and dev tools, but we’d love to open the discussion here on dev.to and hear your insights too.
Let’s compare notes and learn from each other, because what’s “best” might depend on the use case.
Top comments (1)
Totally agree - 2025 feels like the shift from "nice voices" to real turn-taking, memory, and scale.
What helped most for us was keeping end-to-end latency under ~300 ms for barge-in, caching common TTS prompts, and defining failover across ASR/TTS; DX wise, ElevenLabs Realtime and PlayHT streaming have been smooth, while PolyAI is fast to stand up but less low-level control.
We work on Fluents building production voice agents for telephony and web, and we measure p95 interrupt-to-speak plus transfer outcomes - which provider has given you the best interruption handling and how are you testing memory across sessions?