Retell AI Reviews & Product Details

What I like most about Retell AI is how easy it is to build and deploy voice AI agents for real phone calls. The platform is very intuitive and allows quick integration with tools like Google Sheets and automation platforms, which makes it ideal for creating scalable outbound call solutions. The voice quality and real-time interaction are also very impressive. Review collected by and hosted on G2.com.

One area for improvement is the learning curve when setting up more advanced workflows and integrations. Additionally, better documentation and more examples for complex use cases would be helpful. Occasionally, fine-tuning the conversation flow and handling edge cases can require extra effort. Review collected by and hosted on G2.com.

What I like most about Retell AI is the exceptionally low latency and the natural-sounding turn-taking. It handles interruptions smoothly, making the conversation feel much more human than other platforms. The API is well-documented and the integration with tools like n8n or Make.com is seamless, which allows for complex automation workflows Review collected by and hosted on G2.com.

The ease of use and the quality of the pre-built voices are outstanding. I love how quickly I can go from a prompt to a functioning voice agent. The dashboard provides great observability into call logs, which helps a lot in refining the agent's behavior and performance over time. Review collected by and hosted on G2.com.

Fully featured voice platform without the bloat of years and years of legacy product development and bolt on feature through acquisition. I have used Twilio directly in the past and Retell add incalculable value that removes the need for hardcore development skills. Pared with VIBE coding platform I have built a feature rich and competitive set of solutions for the SMB market. Review collected by and hosted on G2.com.

Nothing so far. It offers everything I need for my business at this time. Only area I am figuring out is how to access learning and certification materials that are direct from Retell and not vids/material from other builders. I think the Community approach is great, but years of legacy Enterprise development and support methodology have taught me a direct vendor model is requirement for building credible offerings in the larger market space. Review collected by and hosted on G2.com.

Retell AI is one of the best AI voice agents I’ve used. It’s very easy to set up and use, and the voice interactions feel smooth and natural. I especially like how quickly you can deploy a working agent without needing complex technical knowledge. It makes building voice automation accessible and efficient. Review collected by and hosted on G2.com.

One thing I’d love to see improved is deeper automation and integrations. For example, the ability to easily connect with CRMs or Excel/Google Sheets directly within the platform would make it much more powerful. Adding more built-in integrations for workflows and data syncing would significantly enhance its usefulness for business operations. Review collected by and hosted on G2.com.

I really like the single prompt based workflow design, Which reducing the complexity of building nodes and edges. It is easy to start with zero knowledge about voice AI. Review collected by and hosted on G2.com.

I don't have any dislike about Retell AI Review collected by and hosted on G2.com.

What I like most is that Retell makes it relatively easy to build a voice agent that can actually take actions, not just talk. Features like function calling, knowledge base support, inbound and outbound calling, and post call analysis make it feel like a complete platform rather than just a voice layer. The low latency also helps conversations feel more responsive, which matters a lot for use cases like a dental clinic receptionist handling bookings and common patient questions. Review collected by and hosted on G2.com.

The main downside is that even with the built in tooling, you still need to spend time tuning flows, prompts, and integrations to handle real world edge cases well. Knowledge base retrieval and function calling are useful, but they do not fully remove the work needed to make the agent reliable in more complex conversations. The platform has strong monitoring and QA features, but that also reflects the reality that production voice agents still need ongoing review and optimization after launch. Review collected by and hosted on G2.com.

What stands out most about Retell AI is how quickly you can go from idea to a fully functioning voice agent. The platform abstracts away a lot of the complexity around telephony, speech recognition, and LLM orchestration, which makes it incredibly powerful for building production-grade voice experiences. The real-time responsiveness and flexibility in designing conversational flows are especially impressive. It’s also great how configurable the system is—you can fine-tune prompts, manage variables, and integrate with external systems without needing a heavy infrastructure lift. Overall, it enables teams to move fast and iterate quickly, which is critical when building AI-driven experiences. Review collected by and hosted on G2.com.

One area for improvement is the naturalness of conversations out of the box—agents can sometimes include filler words or sound slightly robotic without careful prompt tuning. This means you need to spend extra time refining prompts to get a truly polished, human-like experience. Additionally, debugging and observability could be stronger; when something goes wrong in a conversation flow, it’s not always immediately clear where the issue originated. Lastly, while the platform is powerful, some workflows (like handling edge cases or complex branching logic) can require workarounds that could be simplified with more native tooling. Review collected by and hosted on G2.com.

We've been using Retell AI to power the voice agents for our AI receptionist product for medical clinics in Dubai. After evaluating several alternatives, Retell stood out for its low latency, natural-sounding conversations, and the flexibility it gives you in building complex agent flows.

The dynamic variables feature is a game changer for us — it lets us run a single agent that serves multiple clinics, each with their own name, doctors, hours, and custom information injected at call time. The transfer call functionality works reliably, and the web call SDK made it easy to embed a live demo directly on our website.

The prompt-based approach gives you full control over agent behaviour without needing to touch any underlying model code. The LLM swap feature is also useful — we've tested different models and can switch without rebuilding anything.

Support has been responsive and the documentation is solid. The dashboard gives good visibility into call logs and agent performance.

If you're building a voice AI product and need something production-ready, Retell is genuinely one of the best platforms out there right now. Highly recommend. Review collected by and hosted on G2.com.

The main limitation we've run into is the lack of native support for UAE or Middle East phone numbers — we currently have to use US numbers and forward calls, which adds a small amount of friction for our clinic clients. A wider range of supported regions for phone number provisioning would make Retell a complete end-to-end solution.

The analytics dashboard could also be more detailed — things like per-agent call breakdowns and language detection would save us from having to build those features ourselves. Minor issues overall given how strong the core product is. Review collected by and hosted on G2.com.

The abstraction layer is fantastic for rapid prototyping. It handles the heavy lifting of telephony and WebSocket streaming out of the box, allowing developers to deploy functional voice agents much faster than configuring the underlying infrastructure from scratch. Review collected by and hosted on G2.com.

The trade-off for that ease of use is a lack of granular control over the media routing and WebRTC pipeline. If you are building a highly customized, large-scale multi-agent SaaS, the restrictions on custom agent server architectures and the managed-service pricing model can become bottlenecks. Review collected by and hosted on G2.com.

Quality and selection of voices, flawless integration with n8n, cal.com, twilio, gohighlevel, ergonomic interface which even in 2026 is rare - I insist is rare!, then it's also the analytics, billing, huge selection of LLMs. Overall an amazing platform Review collected by and hosted on G2.com.

I'd love to be able to directly buy phone number for much more places in the world (Latam, Western and Eastern Europe, Asia, Africa, etc.) - the current offer is very limited and I do understand it's not the main business, but it will help a lot. Even N America there are 2 out of 23 countries were you can buy phone numbers... Review collected by and hosted on G2.com.