Vapi

Voice AI for developers

4.9•25 reviews•

1.4K followers

Voice AI for developers

4.9•25 reviews•

1.4K followers

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AI Voice Agents

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Transcription

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AI Voice Agent Infrastructure

Build, test and deploy voicebots in minutes rather than months.

Framer AI AgentsDesign and publish professional sites with AI

Promoted

Runner Up • AI for Audio Product of the Year

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Vapi Launches

Vapi CLIThe best DX for building voice AI

Launched on July 8th, 2025

VapiVoice AI agents for Developers

Launched on April 2nd, 2025

VapiVoice AI infrastructure for the internet

Launched on March 21st, 2024

Forum Threads

p/vapi

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3mo ago

Vapi Raises $50M Series B

Today we're announcing our $50M Series B, led by Peak XV, with participation from YC, M12 (Microsoft's Venture Fund), Kleiner Perkins, and our earlier investors. It brings our total funding to $72M. The round closed on the back of a year in which our enterprise revenue grew 10x, and our agents crossed 1,000,000,000 calls handled.

Read their announcement.

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4.9

Based on 25 reviews

Review Vapi?

Reviewers see Vapi as a fast, developer-friendly way to build and test voice AI without stitching together telephony, speech, transcripts, and call-state infrastructure by hand. They repeatedly praise easy integration, solid documentation, flexible model and provider choices, natural-sounding voices, and helpful support. Several say it works well for receptionist, customer support, sales, automation, and even multi-agent systems. The main caveat is production maturity: reviewers want better debugging, observability, interruption handling, latency, memory, and reliability when calls or providers misbehave.

+22

Summarized with AI

Pros

voice AI capabilities (8)

developer-friendly (6)

easy integration (3)

fast deployment (3)

excellent customer support (2)

natural voice quality (2)

web SDK (2)

Cons

voice AI not 100% (2)

Pros

Cons

Reviews

All Reviews

Most Informative

•15 reviews

What's great

easy integration (3)developer-friendly (6)voice AI capabilities (8)real-time audio handling (1)web SDK (2)

Vapi is one of the fastest ways to prototype and ship voice AI experiences without building the entire audio pipeline from scratch. I used it while working on a voice AI receptionist-style product, and the biggest value was how quickly it helped connect the core pieces: voice interface, assistant behavior, real-time call state, transcripts, and provider configuration.

For early voice AI products, that speed matters a lot. You can test personas, prompts, greetings, voice behavior, and user flows much faster than if you were wiring every STT/TTS and realtime layer manually.

What needs improvement

voice AI not 100% (2)stt (1)

The main improvement area is production debugging and reliability. Voice AI has a lot of moving parts: latency, STT quality, TTS behavior, provider failures, prompt issues, interruptions, and call-state edge cases. When something feels off, it is not always obvious which layer caused the issue.

I’d like better debugging tools around failed calls, latency breakdowns, provider fallback, transcript quality, and assistant decision traces. Vapi is very useful, but production voice AI still needs strong observability.

vs Alternatives

Retell AI - Voice AI Agent

I chose Vapi because it made the first version of a voice AI product much faster to build. Instead of spending all the early time connecting voice providers, transcripts, call states, and assistant behavior manually, Vapi gave me a working path to test the actual product experience.

For deeper telephony or custom infrastructure, tools like LiveKit, Twilio, and provider-level integrations can still make sense. But for getting a voice AI product into users’ hands quickly, Vapi is a strong starting point.

Ratings

Ease of use

Reliability

Value for money

Customization

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71 views1mo ago

•11 reviews

What's great

fast deployment (3)voice AI capabilities (8)

Vapi makes it much easier to build production-ready AI voice agents without dealing with low-level telephony and speech infrastructure. The developer experience is excellent, integrations are straightforward, and it supports flexible workflows for voice assistants, customer support, sales, and automation. It significantly reduces the time needed to build and deploy conversational AI applications.

What needs improvement

Voice AI has improved significantly, but there is still room for better interruption handling, lower latency in complex conversations, stronger long-term conversation memory, and more advanced analytics for debugging and optimizing production voice agents.

vs Alternatives

ElevenLabs

I also evaluated Retell AI, Bland AI, ElevenLabs, Twilio, and custom voice pipelines. I chose Vapi because of its developer-friendly APIs, fast setup, flexibility, and ability to integrate with different LLMs and voice providers while keeping the implementation relatively simple.

Ratings

Ease of use

Reliability

Value for money

Customization

Report

66 views1mo ago

PureTalk.ai

•5 reviews

I genuinely love Vapi. The platform has been nothing short of amazing! From the start, I've been impressed not only by the intuitive and powerful tools it offers for building voice applications but also by the incredible support team behind it. Whenever I’ve had questions or needed help, their team has responded quickly and effectively — it really makes a difference when you're trying to build and launch something fast. What’s even more exciting is how the platform keeps improving. Every single month, Vapi becomes faster, more affordable, and overall more capable. You can tell the team is constantly working to optimize performance and add new features that make development easier and more efficient. If you’re looking to build a voice product that actually works — and works well — I can’t recommend Vapi enough. Whether you're prototyping or scaling, it’s a tool that truly delivers.